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ORCIDCoRR, January 2020
- Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embeddings. - Rakesh Mohanty, Debasis Dwibedy, Shreeya Swagatika Sahoo:
New Competitive Analysis Results of Online List Scheduling Algorithm. - Travis LaCroix, Yoshua Bengio:
Learning from Learning Machines: Optimisation, Rules, and Social Norms. - Maxime Bassenne, Adrián Lozano-Durán:
Computational model discovery with reinforcement learning. - Ankit Chadha, Mohamed Masoud:
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS). - Kenneth Choi
, Tony Lee:
Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments. - Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman:
Tensor-Tensor Products for Optimal Representation and Compression. - Aggelos Kiayias, Aikaterini-Panagiota Stouka:
Coalition-Safe Equilibria with Virtual Payoffs. - Ahmed Abdelhamed, Balakrishna Yadav Peddagolla, Girma S. Tewolde, Jaerock Kwon:
MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications. - Rahul Radhakrishnan Iyer, Yulong Pei, Katia P. Sycara:
Simultaneous Identification of Tweet Purpose and Position. - Kamyar Givaki, Behzad Salami, Reza Hojabr, S. M. Reza Tayaranian, Ahmad Khonsari, Dara Rahmati, Saeid Gorgin, Adrián Cristal, Osman S. Unsal:
On the Resilience of Deep Learning for Reduced-voltage FPGAs. - Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai:
Deep Attentive Ranking Networks for Learning to Order Sentences. - Bhairav Chidambaram, Mason McGill, Pietro Perona:
HMM-guided frame querying for bandwidth-constrained video search. - Shengwen Xie, Juan Ren:
Towards Improving the Performance of the RNN-based Inversion Model in Output Tracking Control. - Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi:
Pre-trained Contextual Embedding of Source Code. - Issam Hammad, Kamal El-Sankary, Jason Gu:
Deep Learning Training with Simulated Approximate Multipliers. - Hiba Arnout, Johannes Kehrer, Johanna Bronner, Thomas A. Runkler:
Visual Evaluation of Generative Adversarial Networks for Time Series Data. - Mateusz Krzysztof Tarkowski, Szymon Matejczyk, Tomasz P. Michalak, Michael J. Wooldridge:
Monte Carlo Techniques for Approximating the Myerson Value - Theoretical and Empirical Analysis. - Julian Enoch:
Nested Column Generation decomposition for solving the Routing and Spectrum Allocation problem in Elastic Optical Networks. - Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres:
Protecting GANs against privacy attacks by preventing overfitting. - Bernhard Haeupler, D. Ellis Hershkowitz, David Wajc:
Near-Optimal Schedules for Simultaneous Multicasts. - Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum:
Scalable Hierarchical Clustering with Tree Grafting. - Jack Clark, Gillian K. Hadfield:
Regulatory Markets for AI Safety. - Ajay Kumar Shrestha, Julita Vassileva:
User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM Based Study. - Yichen Zhang, Yan Li, Kevin Tomsovic, Seddik M. Djouadi, Meng Yue:
Review on Set-Theoretic Methods for Safety Verification and Control of Power System. - Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff:
"Happy and Assured that life will be easy 10years from now.": Perceptions of Artificial Intelligence in 8 Countries. - Naveen Mohan, Per Roos, Johan Svahn, Martin Törngren, Sagar Behere:
ATRIUM - Architecting Under Uncertainty for ISO 26262 compliance. - Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. - Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz:
Human Comprehension of Fairness in Machine Learning. - Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam, Saurabh Bagchi, Mung Chiang, David Corman, Brian J. Henz, Suman Jana, Na Li, Shaoshuai Mou, Meeko Oishi, Chunyi Peng, Tiark Rompf, Ashutosh Sabharwal, Shreyas Sundaram, James Weimer, Jennifer Weller:
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap. - Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann:
No Spurious Local Minima in Deep Quadratic Networks. - Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. - Farid Naït-Abdesselam, Ahmad Alsharoa, Mohamed Y. Selim, Daji Qiao, Ahmed E. Kamal:
D3S: A Framework for Enabling Unmanned AerialVehicles as a Service. - Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee:
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. - Soheil Abbasloo, H. Jonathan Chao:
SharpEdge: An Asynchronous and Core-Agnostic Solution to Guarantee Bounded-Delays. - Fei Zuo, Qiang Zeng:
Erase and Restore: Simple, Accurate and Resilient Detection of L2 Adversarial Examples. - Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. - Kai Jiang, Xiaolong Qin:
Reinforcement Learning with Goal-Distance Gradient. - Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. - Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan:
Development of a Connected and Automated Vehicle Longitudinal Control Model. - Gwenaelle Cunha Sergio, Minho Lee:
Stacked DeBERT: All Attention in Incomplete Data for Text Classification. - Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. - Jamshed Memon, Maira Sami, Rizwan Ahmed Khan:
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR). - Mohammadreza Doostmohammadian:
Single-Bit Consensus with Finite-Time Convergence: Theory and Applications. - Shishir Kolathaya:
Local Stability of PD Controlled Bipedal Walking Robots. - Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang:
Dual Adversarial Domain Adaptation. - Chunming Tang, Cunsheng Ding:
An infinite family of linear codes supporting 4-designs. - Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli:
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. - Leilei Wei, Yinnian He:
A fully discrete local discontinuous Galerkin method with the generalized numerical flux to solve the tempered fractional reaction-diffusion equation. - Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia:
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection. - Christian Vitale, Carla-Fabiana Chiasserini, Francesco Malandrino, Senay Semu Tadesse:
Characterizing Delay and Control Traffic of the Cellular MME with IoT Support. - Suzan Üsküdarli, Erinç Gökdeniz, Resit Canbeyli:
NeuroBoun: An inquiry-based approach for exploring scientific literature - a use case in neuroscience. - Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu:
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation. - Jing Zhang, Yong Zhang, Suhua Zhan, Cheng Cheng:
Ensemble emotion recognizing with multiple modal physiological signals. - Pascal Gadient, Mohammad Ghafari, Oscar Nierstrasz:
Web APIs in Android through the Lens of Security. - Maike Buchin, Leonie Selbach:
A polynomial-time partitioning algorithm for weighted cactus graphs. - Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic, Dusit Niyato:
Spectrum Intelligent Radio: Technology, Development, and Future Trends. - Xi Fang, Pingkun Yan:
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction. - Timothy M. Chan, Shay Golan, Tomasz Kociumaka, Tsvi Kopelowitz, Ely Porat:
Approximating Text-to-Pattern Hamming Distances. - Joshua Peeples, Weihuang Xu, Alina Zare:
Histogram Layers for Texture Analysis. - Thiago Serra, Abhinav Kumar, Srikumar Ramalingam:
Lossless Compression of Deep Neural Networks. - James J. Cusick:
Business Value of ITSM. Requirement or Mirage? - Shannon Joyner, Michael J. MacCoss, Christina Delimitrou, Hakim Weatherspoon:
Ripple: A Practical Declarative Programming Framework for Serverless Compute. - Sarah Cline, Jacob Aronoff:
With Great Power Comes Great Responsibility: Utilizing Privacy Technology for the Greater Bad. - Lorena A. Barba:
Engineers Code: reusable open learning modules for engineering computations. - Donghoon Chang, Vinjohn V. Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, Ajit Pratap Singh:
Multi-lane Detection Using Instance Segmentation and Attentive Voting. - Jurandy Almeida, Cristiano Saltori, Paolo Rota, Nicu Sebe:
Low-Budget Unsupervised Label Query through Domain Alignment Enforcement. - Mahbubur Rahman, Abusayeed Saifullah:
Integrating Low-Power Wide-Area Networks for Enhanced Scalability and Extended Coverage. - Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee:
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies. - Maria De-Arteaga, Tejumade Afonja, Amanda Coston:
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D. - Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. - Parinya Chalermsook, Samir Khuller, Pattara Sukprasert, Sumedha Uniyal:
Multi-transversals for Triangles and the Tuza's Conjecture. - Ghafour Ahani, Di Yuan:
Optimal Scheduling of Content Caching Subject to Deadline. - Kan Li, José C. Príncipe:
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces. - Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Graph Convolution Collaborative Filtering. - Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup:
Options of Interest: Temporal Abstraction with Interest Functions. - Facundo Mémoli, Guilherme Vituri F. Pinto:
Motivic clustering schemes for directed graphs. - Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
ZeroQ: A Novel Zero Shot Quantization Framework. - Mai Thanh Thai, Phuoc Thien Phan, Shing Wong, Nigel H. Lovell, Thanh Nho Do:
Advanced Intelligent Systems for Surgical Robotics. - Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomás Horváth:
Online Similarity Learning with Feedback for Invoice Line Item Matching. - Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network. - Wenwu Zhu, Xin Wang, Peng Cui:
Deep Learning for Learning Graph Representations. - Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang:
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. - Huiwei Zhou, Shixian Ning, Yunlong Yang, Zhuang Liu, Chengkun Lang, Yingyu Lin:
Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge. - Jiyoon Ham, Joshua I. James:
A Feature Comparison of Modern Digital Forensic Imaging Software. - Nima Anari, Kuikui Liu, Shayan Oveis Gharan:
Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model. - Ying Meng, Jianhai Su, Jason M. O'Kane, Pooyan Jamshidi:
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. - Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. - Dongjing Miao, Zhipeng Cai, Jianzhong Li, Xiangyu Gao, Xianmin Liu:
Complexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing. - Shunsuke Kurima:
Time discretization of an abstract problem applying to the linearized equations of coupled sound and heat flow. - Xuanyi Dong, Yi Yang:
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search. - Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. - Bilal Arain, Feras Dayoub, Paul Rigby, Matthew Dunbabin:
Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation. - Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for image semantic segmentation. - Sayan Bhattacharya, Danupon Nanongkai, Thatchaphol Saranurak:
Coarse-Grained Complexity for Dynamic Algorithms. - Ying Yang, Ruigang Shen, Mingjuan Fang, Shi Shu:
Local Averaging Type a Posteriori Error Estimates for the Nonlinear Steady-state Poisson-Nernst-Planck Equations. - Eric Daimler, Ryan Wisnesky:
Informal Data Transformation Considered Harmful. - Doyeon Weon, Kyungchun Lee:
Learning-Aided Deep Path Prediction for Sphere Decoding in Large MIMO Systems. - Raj Kishore, S. Swayamjyoti, Shreeja Das, Ajay Kumar Gogineni, Zohar Nussinov, D. Solenov, Kisor K. Sahu:
Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures. - Ce Wang, S. Kevin Zhou, Zhiwei Cheng:
First image then video: A two-stage network for spatiotemporal video denoising. - Eduard E. Bahingayi, Kyungchun Lee:
Hybrid Combining Based on Constant Phase Shifters and Active/Inactive Switches. - Brian K. Ryu:
The Demise of Single-Authored Publications in Computer Science: A Citation Network Analysis. - Meng Hua, Luxi Yang, Qingqing Wu, A. Lee Swindlehurst:
3D UAV Trajectory and Communication Design for Simultaneous Uplink and Downlink Transmission. - Moonyoung Lee, Yujin Heo, Jinyong Park, Hyundae Yang, Ho-Deok Jang, Philipp Benz, Hyunsub Park, In So Kweon, Jun-Ho Oh:
Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo. - Moonyoung Lee, Yujin Heo, Saihim Cho, Hyunsub Park, Jun-Ho Oh:
Motion Generation Interface of ROS to PODO Software Framework for Wheeled Huamanoid Robot. - Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong:
Kernelized Support Tensor Train Machines. - Bohan Liang, Shangxi Wu, Kaiyuan Xu, Jingyu Hao:
Butterfly detection and classification based on integrated YOLO algorithm. - Azhar Alhammali, Malgorzata Peszynska:
Numerical Analysis of a Parabolic Variational Inequality System Modeling Biofilm Growth at the Porescale. - Gal Assa, Hagar Meir, Guy Golan-Gueta, Idit Keidar, Alexander Spiegelman:
Using Nesting to Push the Limits of Transactional Data Structure Libraries. - Xiaojun Yuan, Ying Jun Zhang, Yuanming Shi, Wenjing Yan, Hang Liu:
Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities. - Jiapeng Dong, Pengju Wang, Weiqiang Sun:
Cost of Dietary Data Acquisition with Smart Group Catering. - Nitesh Verma, Bryan Gomez-Vargas, Luis Miguel De Oliveira Vilaca, Sarvesh Kumar, Ricardo Ruiz-Baier:
On the modelling, linear stability, and numerical simulation for advection-diffusion-reaction in poroelastic media. - Thomas Drugman, Thomas Dubuisson, Thierry Dutoit:
Phase-based Information for Voice Pathology Detection. - Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller:
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends. - Paola Francesca Antonietti, Stefano Berrone, Andrea Borio, Alessandro D'Auria, Marco Verani, Steffen Weißer:
Anisotropic a posteriori error estimate for the Virtual Element Method. - Noga Alon, Adi Shraibman:
Algorithmic Number On the Forehead Protocols Yielding Dense Ruzsa-Szemerédi Graphs and Hypergraphs. - Rongzhi Gu, Yuexian Zou:
Temporal-Spatial Neural Filter: Direction Informed End-to-End Multi-channel Target Speech Separation. - Marc Carrascosa, Boris Bellalta:
Multi-Armed Bandits for Decentralized AP selection in Enterprise WLANs. - Hari Hara Suthan Chittoor, Prasad Krishnan, K. V. Sushena Sree, Bhavana M:
Subexponential and Linear Subpacketization Coded Caching via Line Graphs and Projective Geometry. - Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen J. Wade, Long Cheng:
Rethinking Defeasible Reasoning: A Scalable Approach. - Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Kourosh Darvish, Daniele Pucci:
Recent Advances in Human-Robot Collaboration Towards Joint Action. - Aleksandar Prokopec, Trevor Brown, Dan Alistarh:
Analysis and Evaluation of Non-Blocking Interpolation Search Trees. - Nian Li, Maosheng Xiong, Xiangyong Zeng:
On permutation quadrinomials and 4-uniform BCT. - Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. - Dominik Tomaszuk, David Hyland-Wood:
RDF 1.1: Knowledge Representation and Data Integration Language for the Web. - Mengqi Xue, Yang Tang, Wei Ren, Feng Qian:
Stability of Multi-Dimensional Switched Systems with an Application to Open Multi-Agent Systems. - Yunus Emre Sahin, Necmiye Ozay:
From Drinking Philosophers to Wandering Robots. - Nader H. Bshouty, Catherine A. Haddad-Zaknoon, Raghd Boulos, Foad Moalem, Jalal Nada, Elias Noufi, Yara Zaknoon:
Optimal Randomized Group Testing Algorithm to Determine the Number of Defectives. - Jaeyoung Song, Wan Choi:
Mobility-Aware Content Placement for Device-to-Device Caching Systems. - Nishai Kooverjee, Steven James, Terence L. van Zyl:
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. - Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller:
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. - Supriya Sarker, Md. Sajedur Rahman, Mohammad Nazmus Sakib:
An Approach Towards Intelligent Accident Detection, Location Tracking and Notification System. - Abdul Abdulrahim, Michael Famoroti:
A Noxious Market for Personal Data. - Thomas Drugman, Abeer Alwan:
Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics. - Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. - Toby Shevlane, Allan Dafoe:
The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse? - Nian Li, Zhao Hu, Maosheng Xiong, Xiangyong Zeng:
4-uniform BCT permutations from generalized butterfly structure. - Panayotis Mertikopoulos, Heinrich H. Nax, Bary S. R. Pradelski:
Quick or cheap? Breaking points in dynamic markets. - Jianzhu Huai, Yujia Zhang, Alper Yilmaz:
The Mobile AR Sensor Logger for Android and iOS Devices. - Kennedy Ralston, Yuhao Chen, Haruna Isah, Farhana H. Zulkernine:
A Voice Interactive Multilingual Student Support System using IBM Watson. - Thomas Drugman, Mark R. P. Thomas, Jón Guðnason, Patrick A. Naylor, Thierry Dutoit:
Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review. - Filipe J. Zabala, Fabiano F. Silveira:
Decades of Jurimetrics. - Stefano Sarao Mannelli, Lenka Zdeborová:
Thresholds of descending algorithms in inference problems. - Jianping Yao, Jie Xu:
Joint 3D Maneuver and Power Adaptation for Secure UAV Communication with CoMP Reception. - Xin Wang:
Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier. - Markus Konkol, Daniel Nüst, Laura Goulier:
Publishing computational research - A review of infrastructures for reproducible and transparent scholarly communication. - Sri Aravinda Krishnan Thyagarajan, Adithya Bhat, Bernardo Magri, Daniel Tschudi, Aniket Kate:
Reparo: Publicly Verifiable Layer to Repair Blockchains. - Pierre-Olivier Pigny, Lionel Dominjon:
Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality. - Cristiano Politowski, Fábio Petrillo, Gabriel Cavalheiro Ullmann, Josias de Andrade Werly, Yann-Gaël Guéhéneuc:
Dataset of Video Game Development Problems. - Ruiyuan Gao, Ming Dun, Hailong Yang, Zhongzhi Luan, Depei Qian:
Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models. - Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. - Assaf Ben-Yishai, Young-Han Kim, Rotem Oshman, Ofer Shayevitz:
On the Interactive Capacity of Finite-State Protocols. - Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay:
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. - Jan Glaubitz, Philipp Öffner:
Stable discretisations of high-order discontinuous Galerkin methods on equidistant and scattered points. - Eric Filiol:
Key-dependent Security of Stream Ciphers. - Brittany Factura, Laura LaPerche, Phil Reyneri, Brett R. Jones, Kevin Karsch:
Lightform: Procedural Effects for Projected AR. - Na-Young Ahn, Dong Hoon Lee:
Schemes for Privacy Data Destruction in a NAND Flash Memory. - Fahimeh Fooladgar, Shohreh Kasaei:
Lightweight Residual Densely Connected Convolutional Neural Network. - Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
Non-Parametric Learning of Gaifman Models. - Ryan Senanayake, Fredrik Kjolstad, Changwan Hong, Shoaib Kamil, Saman P. Amarasinghe:
A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra. - Yizhou Zhao, Hua Sun:
Expand-and-Randomize: An Algebraic Approach to Secure Computation. - S. Rasoul Etesami, Negar Kiyavash, H. Vincent Poor:
Adversarial Policies in Learning Systems with Malicious Experts. - Ken R. Duffy:
Ordered Reliability Bits Guessing Random Additive Noise Decoding. - Ahmed A. Hussein, Hesham A. Rakha:
Vehicle Platooning Impact on Drag Coefficients and Energy/Fuel Saving Implications. - Vahid Mirjalili, Sebastian Raschka, Arun Ross:
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy. - Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh:
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means. - André Calero Valdez, Lena Adam, Dennis Assenmacher, Laura Burbach, Malte Bonart, Lena Frischlich, Philipp Schaer:
Computational Methods in Professional Communication. - Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami, Jian Li:
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds. - Massimiliano Dal Mas:
Emergent Behaviors from Folksonomy Driven Interactions. - Yaoshiang Ho, Samuel Wookey:
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling. - Tamirlan Seidakhmetov:
Question Type Classification Methods Comparison. - Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, Wei Lu:
Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model. - Sucheta Ghosh:
A Hybrid Framework for Topic Structure using Laughter Occurrences. - K. Mona Teja, S. Mohan Sai, H. S. S. S. Raviteja D, Sai Kushagra P. V:
Smart Summarizer for Blind People. - Weixin Liang, Zixuan Liu, Can Liu:
DAWSON: A Domain Adaptive Few Shot Generation Framework. - Thomas Drugman, Thierry Dutoit:
A Comparative Evaluation of Pitch Modification Techniques. - Thomas Drugman, Jérôme Urbain, Thierry Dutoit:
Assessment of Audio Features for Automatic Cough Detection. - Thomas Drugman, Geoffrey Wilfart, Thierry Dutoit:
Eigenresiduals for improved Parametric Speech Synthesis. - Thomas Drugman, Thierry Dutoit, Baris Bozkurt:
Excitation-based Voice Quality Analysis and Modification. - Thomas Drugman, Thomas Dubuisson, Thierry Dutoit:
On the Mutual Information between Source and Filter Contributions for Voice Pathology Detection. - Gavin S. Hartnett, Masoud Mohseni:
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows. - Yao Zhan, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto:
Large-scale Gender/Age Prediction of Tumblr Users. - Carolina Lang, Tobias Carreira, Germán César Dima, Lucila Berniell, Carlos Sarraute:
Computing Accessibility Metrics for Argentina. - Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
Accelerating Smooth Games by Manipulating Spectral Shapes. - Antonio Vazquez Brust, Tomás Olego, Germán Rosati, Carolina Lang, Guillermo Bozzoli, Diego Weinberg, Roberto Chuit, Martin A. Minnoni, Carlos Sarraute:
Detecting Areas of Potential High Prevalence of Chagas in Argentina. - Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao:
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. - Islam El Bakoury, Bobak Nazer:
Integer-Forcing Architectures for Uplink Cloud Radio Access Networks. - Justin DeBenedetto, David Chiang:
Representing Unordered Data Using Multiset Automata and Complex Numbers. - Siyi Yang, Murat Can Sarihan, Kai-Chi Chang, Chee Wei Wong, Lara Dolecek:
Efficient Information Reconciliation for Energy-Time Entanglement Quantum Key Distribution. - Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, Khaled Salah:
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model. - Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu:
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. - Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque:
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach. - Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra:
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis. - I-Sheng Yang:
A Loss-Function for Causal Machine-Learning. - Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang:
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. - Qian Hu, Huzefa Rangwala:
Academic Performance Estimation with Attention-based Graph Convolutional Networks. - Yusuke Takahashi, Yoshiro Suzuki, Akira Todoroki:
Convolutional Neural Network-based Topology Optimization (CNN-TO) By Estimating Sensitivity of Compliance from Material Distribution. - Steven Atkinson, Sayan Ghosh, Natarajan Chennimalai-Kumar, Genghis Khan, Liping Wang:
Bayesian task embedding for few-shot Bayesian optimization. - Martin Eigel, Reinhold Schneider, Philipp Trunschke:
Convergence bounds for empirical nonlinear least-squares. - Hamed AlQahtani:
PI-GAN: Learning Pose Independent representations for multiple profile face synthesis. - Karol Lewandowski, Lukasz Kaczmarczyk, Ignatios Athanasiadis, John F. Marshall, Chris J. Pearce:
Numerical investigation into fracture resistance of bone following adaptation. - Yu Leng, Xiaochuan Tian, Nathaniel A. Trask, John T. Foster:
Asymptotically compatible reproducing kernel collocation and meshfree integration for the peridynamic Navier equation. - Pablo Borja, Jacquelien M. A. Scherpen, Kenji Fujimoto:
Extended balancing of continuous LTI systems: a structure-preserving approach. - Jesse Scott, Christopher Funk, Bharadwaj Ravichandran, John H. Challis, Robert T. Collins, Yanxi Liu:
From Kinematics To Dynamics: Estimating Center of Pressure and Base of Support from Video Frames of Human Motion. - Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker:
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs. - Matas Dijokas, Andrea Tosatto, Tilman Weckesser, Spyros Chatzivasileiadis, Robert Eriksson:
Sharing Reserves through HVDC: Potential Cost Savings in the Nordic Countries. - Kang Zhao:
Eigenvalue embedding of undamped piezoelectric structure system with no-spillover. - Roozbeh Yousefzadeh, Dianne P. O'Leary:
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis. - Ruoyu Wang, Daniel Sun, Guoqiang Li:
Statistical Detection of Collective Data Fraud. - Soochan Lee, Junsoo Ha, Dongsu Zhang, Gunhee Kim:
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning. - Xiebo Geng, Sibo Liu, Wei Han, Xu Li, Jiabo Ma, Jingya Yu, Xiuli Liu, Shaoqun Zeng, Li Chen, Shenghua Cheng:
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides. - Tianjiao Ni, Zhili Chen, Lin Chen, Hong Zhong, Shun Zhang, Yan Xu:
Differentially Private Combinatorial Cloud Auction. - Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Haichao Zhu:
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation. - Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. - Patrick Kidger, Terry J. Lyons:
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU. - Kamyar Modjtahedzadeh:
Stability Analysis of Continuous-Time Linear Time-Invariant Systems. - Ben S. Southworth, Samuel S. Olivier:
A note on 2×2 block-diagonal preconditioning. - Quanyan Zhu:
Control Challenges for Resilient Control Systems. - Yipu Zhao, Patricio A. Vela:
Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency. - Pei Xu, Shan Huang, Hongzhen Wang, Hao Song, Shen Huang, Qi Ju:
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection. - Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve:
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. - Lei Zhang, Weihai Chen, Yuan Chai, Jianhua Wang, Jianbin Zhang:
Gait Graph Optimization: Generate Variable Gaits from One Base Gait for Lower-limb Rehabilitation Exoskeleton Robots. - Danning Zheng, Ruihua Song, Tianran Hu, Hao Fu, Jin Zhou:
"Love is as Complex as Math": Metaphor Generation System for Social Chatbot. - Nachiket Deo, Mohan M. Trivedi:
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans. - Aditya Siripuram, Brad Osgood:
Convolution Idempotents with a given Zero-set. - Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. - Faizan Safdar Ali, Moayad Aloqaily, Omar Alfandi, Öznur Özkasap:
Peer-to-Peer Blockchain based Energy Trading. - Faizan Safdar Ali, Alptekin Küpçü:
Improving PKI, BGP, and DNS Using Blockchain: A Systematic Review. - Xin Qin, Ye Guo, Xinwei Shen, Hongbin Sun:
Increasing the Flexibility of Combined Heat and Power Systems through Optimal Dispatch with Variable Mass Flow Rate. - Fang Zhai, Libao Shi:
A Solution Strategy to the Unit Commitment Problem Incorporating Manifold Uncertainties. - Mateus de Oliveira Oliveira:
On Supergraphs Satisfying CMSO Properties. - Marcel Rémon, Johan Barthélemy:
Hard 3-CNF-SAT problems are in P - A first step in proving NP=P. - Andreas Bühler, Niclas Vödisch, Mathias Bürki, Lukas Schaupp:
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks. - G. Manjunath:
Memory-Loss is Fundamental for Stability and Distinguishes the Echo State Property Threshold in Reservoir Computing & Beyond. - Zhili Chen, Wei Ding, Yan Xu, Miaomiao Tian, Hong Zhong:
Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain. - Mohammadreza Hazhirpasand, Mohammad Ghafari, Oscar Nierstrasz:
CryptoExplorer: An Interactive Web Platform Supporting Secure Use of Cryptography APIs. - Chaolong Jiang, Yushun Wang, Yuezheng Gong:
Explicit high-order energy-preserving methods for general Hamiltonian partial differential equations. - Matthias Aßenmacher, Christian Heumann:
On the comparability of Pre-trained Language Models. - Inbar Daum-Sadon, Gabriel Nivasch:
Upper bounds for stabbing simplices by a line. - Dong Liu, Chengjian Sun, Chenyang Yang, Lajos Hanzo:
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning. - Alessandro Paolo Capasso, Giulio Bacchiani, Daniele Molinari:
Intelligent Roundabout Insertion using Deep Reinforcement Learning. - Tong Han, David J. Hill:
H2-norm transmission switching to improve synchronism of low-inertia power grids. - Daphna Chacko, Mathew C. Francis:
Representing graphs as the intersection of cographs and threshold graphs. - Xinyi Li, Chia-Jung Lee, Milad Shokouhi, Susan T. Dumais:
Characterizing Reading Time on Enterprise Emails. - Simone Agostinelli, Andrea Marrella, Massimo Mecella:
Towards Intelligent Robotic Process Automation for BPMers. - Brendan O'Donoghue, Ian Osband, Catalin Ionescu:
Making Sense of Reinforcement Learning and Probabilistic Inference. - Mihhail Aizatulin:
Verifying Cryptographic Security Implementations in C Using Automated Model Extraction. - Zhengping Liang, Weiqi Liang, Xiuju Xu, Zexuan Zhu:
A Two stage Adaptive Knowledge Transfer Evolutionary Multi-tasking Based on Population Distribution for Multi/Many-Objective Optimization. - Zhengguang Liu, Xiaoli Li:
Step-by-step solving schemes based on scalar auxiliary variable and invariant energy quadratization approaches for gradient flows. - Ian Barrodale:
Computing L1 Straight-Line Fits to Data (Part 1). - Shakkeel Ahmed, Ravi S. Mula, Soma S. Dhavala:
A Framework for Democratizing AI. - Petr Kucera, Petr Savický:
Bounds on the size of PC and URC formulas. - Shafqat Ali, Francesco Ballarin, Gianluigi Rozza:
Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations. - Bo Wu, Murat Cubuktepe, Franck Djeumou, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Switched Linear Systems with Markov Decision Process Switching. - Uzi Pereg:
Communication over Quantum Channels with Parameter Estimation. - Thomas Drugman, Baris Bozkurt, Thierry Dutoit:
A Comparative Study of Glottal Source Estimation Techniques. - Thomas Drugman, Thierry Dutoit:
Glottal Closure and Opening Instant Detection from Speech Signals. - Thomas Drugman, Geoffrey Wilfart, Thierry Dutoit:
A Deterministic plus Stochastic Model of the Residual Signal for Improved Parametric Speech Synthesis. - Satoshi Hayakawa:
Monte-Carlo Cubature construction. - Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat:
Multi-Gradient Descent for Multi-Objective Recommender Systems. - Onur Günlü, Rafael F. Schaefer, H. Vincent Poor:
Biometric and Physical Identifiers with Correlated Noise for Controllable Private Authentication. - Karthikeyan Nagarajan, Asmit De, Mohammad Nasim Imtiaz Khan, Swaroop Ghosh:
TrappeD: DRAM Trojan Designs for Information Leakage and Fault Injection Attacks. - Lucas Assunção, Geraldo Robson Mateus:
A cutting-plane algorithm for the Steiner team orienteering problem. - Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal:
Modeling Information Need of Users in Search Sessions. - Aliyu Garba, Armand Florentin Donfack Kana, Mohammed Abdullahi, Idris Abdulmumin, Shehu Adamu, Fatsuma Jauro:
Improving Grid Computing Performance by Optimally Reducing Checkpointing Effect. - Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. - Goran Glavas, Swapna Somasundaran:
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation. - Adrien Coppens, Berat Bicer, Naz Yilmaz, Serhat Aras:
Exploration of Interaction Techniques for Graph-based Modelling in Virtual Reality. - Mohammad Hossein Shaker, Eyke Hüllermeier:
Aleatoric and Epistemic Uncertainty with Random Forests. - Mohammad Shadravan:
Submodular Matroid Secretary Problem with Shortlists. - Soheil Rostami, Kari Heiska, Oleksandr Puchko, Kari Leppänen, Mikko Valkama:
Novel Wake-up Scheme for Energy-Efficient Low-Latency Mobile Devices in 5G Networks. - Zakaria El Mrabet, Mehdi Ezzari, Hassan El Ghazi, Badr Abou El Majd:
Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure. - Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch:
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid. - Ephrem Wu:
Learning Accurate Integer Transformer Machine-Translation Models. - Jiaqi Yan, Xiuxian Li, Yilin Mo, Changyun Wen:
Resilient Multi-Dimensional Consensus and Optimization in Adversarial Environment. - Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu:
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. - Vitalii Aksenov, Alexey Vasyukov, Igor Petrov:
Numerical modeling of thin anisotropic composite membrane under dynamic load. - Lucas Assunção, Andréa Cynthia Santos, Thiago F. Noronha, Rafael Andrade:
On the Finite Optimal Convergence of Logic-Based Benders' Decomposition in Solving 0-1 Min-max Regret Optimization Problems with Interval Costs. - Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. - Zheng Sun, Chi-Wang Shu:
Error analysis of Runge-Kutta discontinuous Galerkin methods for linear time-dependent partial differential equations. - Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes:
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. - Mahmoud Barhamgi, Charith Perera, Chia-Mu Yu, Djamal Benslimane, David Camacho, Christine Bonnet:
Privacy in Data Service Composition. - M. Majid Butt, Anil Rao, Daejung Yoon:
RF Fingerprinting and Deep Learning Assisted UE Positioning in 5G. - Ben Adcock, Mohsen Seifi:
Frame approximation with bounded coefficients. - Kevin Karsch:
Inverse Rendering Techniques for Physically Grounded Image Editing. - Kevin Karsch, Ce Liu, Sing Bing Kang:
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling. - Kuo Wang, Ajay Kumar:
Segmentation-Aware and Adaptive Iris Recognition. - Erich A. Mielke, Eric C. Townsend, David Wingate, Marc D. Killpack:
Human-robot co-manipulation of extended objects: Data-driven models and control from analysis of human-human dyads. - Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. - Thomas Drugman, Thierry Dutoit:
The Deterministic plus Stochastic Model of the Residual Signal and its Applications. - Jordan D. Dworkin, Kristin A. Linn, Erin G. Teich, Perry Zurn, Russell T. Shinohara, Danielle S. Bassett:
The extent and drivers of gender imbalance in neuroscience reference lists. - Ali Ayub, Alan R. Wagner:
A Robot that Learns Connect Four Using Game Theory and Demonstrations. - Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Automated Discovery of Data Transformations for Robotic Process Automation. - Thach V. Bui, Mahdi Cheraghchi, Isao Echizen:
Improved non-adaptive algorithms for threshold group testing with a gap. - Safoura Sadegh Pour Aji Bishe, Daniel J. Rivera, Katherine A. Strausser, Zachary F. Lerner, Kiisa Nishikawa:
Simulating Ankle Torque during Walking Using a new Bioinspired Muscle Model with Application for Controlling a Powered Exoskeleton. - Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. - Haroon Raja, Waheed U. Bajwa:
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. - Hyoung Suk Suh, WaiChing Sun, Devin O'Connor:
A phase field model for cohesive fracture in micropolar continua. - Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. - Konstantinos A. Mountris, Esther Pueyo:
The Radial Point Interpolation Mixed Collocation (RPIMC) Method for the Solution of Transient Diffusion Problems. - Zirui Zhao, Yijun Mao, Yan Ding, Pengju Ren, Nanning Zheng:
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment. - Cole Freeman, Hamed Alhoori, Murtuza Shahzad:
Measuring the Diversity of Facebook Reactions to Research. - Xiaochen Liu, Yurong Jiang, Kyu-Han Kim, Ramesh Govindan:
Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping. - Yifei Li, Zheng Wang, Kuangyan Song, Yiming Sun:
FrequentNet : A New Deep Learning Baseline for Image Classification. - Sang-Sub Kim:
Computing Euclidean k-Center over Sliding Windows. - Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder:
Understanding Image Captioning Models beyond Visualizing Attention. - Shibo Wang, Shusen Yang, Cong Zhao:
SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning. - Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. - Muhammad Haroon Shakeel, Asim Karim:
Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text. - Ziling Heng, Cunsheng Ding, Weiqiong Wang:
Optimal Binary Linear Codes from Maximal Arcs. - Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-aware Network Pruning for Deep Model Compression. - Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav:
Temporal Tensor Transformation Network for Multivariate Time Series Prediction. - Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart:
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment. - Qian Li, Nan Guo, Xiaochun Ye, Dongrui Fan, Zhimin Tang, Honggang Chen, Wenming Li:
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder. - Mohammadbagher Shahgholian, Davood Gharavian:
Hardware in the loop simulation and hierarchical predictive control of a TWPTR. - Luca Bergamaschi, José Marín, Angeles Martinez:
Compact Quasi-Newton preconditioners for SPD linear systems. - Sheikh Ariful Islam, Love Kumar Sah, Srinivas Katkoori:
DLockout: A Design Lockout Technique for Key Obfuscated RTL IP Designs. - Xiao Zhang, Dongrui Wu:
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks. - Blagoj Nenovski, Igor Nedelkovski:
Recognizing and tracking outdoor objects by using ARToolKit markers. - (Withdrawn) Finite Difference/Galerkin Finite Element Simulation of the Semi-Linear Wave Equation with Scale-Invariant Damping and Mass and Power Non-Linearity.
- Tomohiro Nishiyama:
Minimization Problems on Strictly Convex Divergences. - Naina Dhingra, Andreas M. Kunz:
Res3ATN - Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos. - Mohammadbagher Shahgholian, Davood Gharavian:
Optimal control of signalized intersection using hierarchical fuzzy-real control. - Manuel Bichler, Michael Morak, Stefan Woltran:
selp: A Single-Shot Epistemic Logic Program Solver. - Lukas Cavigelli, Luca Benini:
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks. - Weiya Ren:
Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning. - Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters:
MushroomRL: Simplifying Reinforcement Learning Research. - Raj Dabre, Chenhui Chu, Anoop Kunchukuttan:
A Comprehensive Survey of Multilingual Neural Machine Translation. - Hao Yang, Fawaz Almutairi, Hesham A. Rakha:
Eco-Driving at Signalized Intersections: A Multiple Signal Optimization Approach. - Youssef Bichiou, Maha Elouni, Hossam M. Abdelghaffar, Hesham A. Rakha:
Sliding Mode Network Perimeter Control. - Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha:
Real-time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data. - Takashi Shinozaki:
Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning. - Omur Ozel:
Timely Status Updating Through Intermittent Sensing and Transmission. - Martin Böhm, Bertrand Simon:
Discovering and Certifying Lower Bounds for the Online Bin Stretching Problem. - Alexander Ruch:
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification. - Ilan Ben-Bassat, Erez Rokah:
Locality-Sensitive Hashing for Efficient Web Application Security Testing. - Aby Thomas, Adarsh Sunilkumar, Shankar Shylesh, Aby Abahai T., Subhasree Methirumangalath, Dong Chen, Jiju Peethambaran:
TCM-ICP: Transformation Compatibility Measure for Registering Multiple LIDAR Scans. - Mohamed Elsharnouby:
Search techniques in peer to peer networks. - Carter T. Butts:
Phase Transitions in the Edge/Concurrent Vertex Model. - Kareem Nassar:
Transformer-based language modeling and decoding for conversational speech recognition. - Moses Charikar, Weiyun Ma, Li-Yang Tan:
New lower bounds for Massively Parallel Computation from query complexity. - Xu Zhang, Wei Cui, Yulong Liu:
Matrix Completion with Prior Subspace Information via Maximizing Correlation. - Shuai Ye, Hengbin An, Xinhai Xu:
A local character based method for solving linear systems of radiation diffusion problems. - Ling-Hua Chang, Po-Ning Chen, Fady Alajaji, Yunghsiang S. Han:
The Asymptotic Generalized Poor-Verdu Bound Achieves the BSC Error Exponent at Zero Rate. - Xiaohong Liu, Lingshi Kong, Yang Zhou, Jiying Zhao, Jun Chen:
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation. - (Withdrawn) Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding.
- Zhiwen Shao, Lixin Zou, Jianfei Cai, Yunsheng Wu, Lizhuang Ma:
Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection. - Yaoshiang Ho, Samuel Wookey:
The Human Visual System and Adversarial AI. - Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun:
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. - Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao:
Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions. - Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock:
User Profiling Using Hinge-loss Markov Random Fields. - Xucheng Luo, Shengyang Li, Yuxiang Peng:
CNNTOP: a CNN-based Trajectory Owner Prediction Method. - Shuping Dang, Shuaishuai Guo, Justin P. Coon, Basem Shihada, Mohamed-Slim Alouini:
Enhanced Huffman Coded OFDM with Index Modulation. - Yifan Zhang, Edgar Solomonik:
On Stability of Tensor Networks and Canonical Forms. - Martin Stufi, Boris Bacic, Leonid Stoimenov:
Big Data Architecture in Czech Republic Healthcare Service: Requirements, TPC-H Benchmarks and Vertica. - Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko, Mohamed-Slim Alouini:
Throughput Maximization of Mixed FSO/RF UAV-aided Mobile Relaying with a Buffer. - Alex Borisevich, Filipp Gleyzer, Valeria Gavrilenko:
Feedforward Inversion Control of DC/DC Dual-Bridge Series Resonant Converter in Buck and Boost Modes. - Qiaosheng Eric Zhang, Matthieu R. Bloch, Mayank Bakshi, Sidharth Jaggi:
Undetectable Radios: Covert Communication under Spectral Mask Constraints. - Ulrich Scherhag, Christian Rathgeb, Johannes Merkle, Christoph Busch:
Deep Face Representations for Differential Morphing Attack Detection. - Hangtai Li, Yingbo Liu, Rui Tan:
Covert Association of Applications on Edge Devices by Processor Workload. - Lizhao Gao, Haihua Xu, Chong Sun, Junling Liu, Yu-Wing Tai:
Spatial-Scale Aligned Network for Fine-Grained Recognition. - Shital Shah, Roland Fernandez, Steven Mark Drucker:
A System for Real-Time Interactive Analysis of Deep Learning Training. - Nadine Kuhnert, Andreas K. Maier:
Flexible Log File Parsing using Hidden Markov Models. - (Withdrawn) Phoneme-based speech recognition for commanding the robotic Arm.
- Leonel Merino, Mircea Lungu, Christoph Seidl:
Unleashing the Potentials of Immersive Augmented Reality for Software Engineering. - Osvaldo Simeone, Sangwoo Park, Joonhyuk Kang:
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems. - Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani:
Learning fine-grained search space pruning and heuristics for combinatorial optimization. - Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang:
EcoNAS: Finding Proxies for Economical Neural Architecture Search. - Yalei Wang, Wei Chen:
An AoI-Optimal Scheduling Method for Wireless Transmissions with Truncated Channel Inversion. - Pravendra Singh, Munender Varshney, Vinay P. Namboodiri:
Cooperative Initialization based Deep Neural Network Training. - Xue Han, Lianxue Hu, Yabin Dang, Shivali Agarwal, Lijun Mei, Shaochun Li, Xin Zhou:
Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study. - Marco Monforte, Ander Arriandiaga, Arren Glover, Chiara Bartolozzi:
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories. - Eleni Nisioti, Nikolaos Thomos:
Design of Capacity-Approaching Low-Density Parity-Check Codes using Recurrent Neural Networks. - Weidong Mei, Rui Zhang:
UAV-Sensing-Assisted Cellular Interference Coordination: A Cognitive Radio Approach. - Junlin Zhao, Mohammad Mohammadi Amiri, Deniz Gündüz:
Multi-Antenna Coded Content Delivery with Caching: A Low-Complexity Solution. - Xiaochen Lin, Weidong Mei, Rui Zhang:
A New Store-then-Amplify-and-Forward Protocol for UAV Mobile Relaying. - Nina Maria Gottschling, Vegard Antun, Ben Adcock, Anders C. Hansen:
The troublesome kernel: why deep learning for inverse problems is typically unstable. - Arnab Karmakar, Deepak Mishra:
A Robust Pose Transformational GAN for Pose Guided Person Image Synthesis. - Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. - János Végh:
Finally, how many efficiencies the supercomputers have? And, what do they measure? - Cem Rifki Aydin, Tunga Güngör, Ali Erkan:
Generating Word and Document Embeddings for Sentiment Analysis. - Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. - Vasilios Mavroudis, Karl Wüst, Aritra Dhar, Kari Kostiainen, Srdjan Capkun:
Snappy: Fast On-chain Payments with Practical Collaterals. - Subhajit Goswami, Pavankumar Tallapragada:
One-Shot Coordination of First and Last Mode for Multi-Modal Transportation. - Zhiyong Dou, Haotian Cui, Bo Wang:
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks. - Bartlomiej Dudek, Pawel Gawrychowski, Tatiana Starikovskaya:
All non-trivial variants of 3-LDT are equivalent. - Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
General Partial Label Learning via Dual Bipartite Graph Autoencoder. - Samet Akcay, Toby P. Breckon:
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging. - Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphaël Fournier-S'niehotta, Remy Poulain, Lionel Tabourier, Fabien Tarissan:
Measuring Diversity in Heterogeneous Information Networks. - Adria E. Brooks, Bernard C. Lesieutre:
A Locational Price for Power Injection Fluctuations of Variable Generation and Load. - Daniele Boffi, Francesca Gardini, Lucia Gastaldi:
Approximation of PDE eigenvalue problems involving parameter dependent matrices. - Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. - Wolfgang Bock, Yashika Jayathunga:
An ADI Scheme for Two-sided Fractional Reaction-Diffusion Equations and Applications to an Epidemic Model. - Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. - Rajdeep Mukherjee, Saurabh Joshi, John O'Leary, Daniel Kroening, Tom Melham:
Hardware/Software Co-verification Using Path-based Symbolic Execution. - Jakub Kowalski, Radoslaw Miernik:
Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes. - Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud:
Scalable Gradients for Stochastic Differential Equations. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga:
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. - Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. - Ugo Dal Lago, Francesco Gavazzo:
A Diagrammatic Calculus for Algebraic Effects. - Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase:
What gaze behavior do pedestrians take in interactions when they do not understand the intention of an automated vehicle? - Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. - Tong He, Dong Gong, Zhi Tian, Chunhua Shen:
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. - Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Jyri Maanpää, Hao Ma, Juha Hyyppä, Ruizhi Chen:
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description. - Hongxin Wei, Wei Feng, Chi Zhang, Yunfei Chen, Yuguang Fang, Ning Ge:
Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks. - Han Mao Kiah, Tuan Thanh Nguyen, Eitan Yaakobi:
Coding for Sequence Reconstruction for Single Edits. - Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu:
High-speed Autonomous Drifting with Deep Reinforcement Learning. - Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament:
Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators. - Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang:
A Block-based Generative Model for Attributed Networks Embedding. - Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao:
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. - Nisha Vinayaga-Sureshkanth, Raveen Wijewickrama, Anindya Maiti, Murtuza Jadliwala:
Security and Privacy Challenges in Upcoming Intelligent Urban Micromobility Transportation Systems. - Xu Wang, Randall Berry:
Price Competition with LTE-U and WiFi. - Murat Ozer, Nelly Elsayed, Said Varlioglu, Chengcheng Li:
A Rule-Based Model for Victim Prediction. - Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. - Yeongtae Hwang, Hyemin Cho, Hongsun Yang, Insoo Oh, Seong-Whan Lee:
Mel-spectrogram augmentation for sequence to sequence voice conversion. - Jiaxiao Zheng, Gustavo de Veciana, Albert Banchs:
Constrained Network Slicing Games: Achieving service guarantees and network efficiency. - Jie Li, Cong Zhang, Zhi Liu, Wei Sun, Qiyue Li:
Joint Communication and Computational Resource Allocation for QoE-driven Point Cloud Video Streaming. - Ravi Shankar, Lokesh Bhardwaj, Ritesh Kumar Mishra:
Analysis of Selective-Decode and Forward Relaying Protocol Over kappa-mu Fading Channel Distribution. - Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song:
Retrosynthesis Prediction with Conditional Graph Logic Network. - Yixin Li, Xianliang Hu:
An artificial neural network approximation for Cauchy inverse problems. - Aditya Chaudhari, Debraj Chakraborty:
A time-optimal feedback control for a particular case of the game of two cars. - Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen:
Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function. - Alvi Mahadi, Karan Tongay, Neil A. Ernst:
Cross-Dataset Design Discussion Mining. - Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang:
Deeper Insights into Weight Sharing in Neural Architecture Search. - Michael Hecht, Krzysztof Gonciarz, Szabolcs Horvát:
Tight Localizations of Feedback Sets. - Ted Romanus, Sam Frish, Mykola Maksymenko, William Frier, Loïc Corenthy, Orestis Georgiou:
Mid-Air Haptic Bio-Holograms in Mixed Reality. - Denis Efremov, Ilya V. Shchepetkov:
Runtime Verification of Linux Kernel Security Module. - Alex Girdler, Orestis Georgiou:
Mid-Air Haptics in Aviation - creating the sensation of touch where there is nothing but thin air. - Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin:
Improving Entity Linking by Modeling Latent Entity Type Information. - Faisal Ghaffar:
Facial Emotions Recognition using Convolutional Neural Net. - Yingshi Chen:
Express Wavenet - a low parameter optical neural network with random shift wavelet pattern. - Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig:
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images. - Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka:
AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs. - Tamara Slosarek, Attila Wohlbrandt, Erwin P. Böttinger:
Using CEF Digital Service Infrastructures in the Smart4Health Project for the Exchange of Electronic Health Records. - Saira Khan, Khalid Iqbal, Safi Faizullah, Muhammad Fahad, Jawad Ali, Waqas Ahmed:
Clustering based Privacy Preserving of Big Data using Fuzzification and Anonymization Operation. - (Withdrawn) Counting Maximum Matchings in Planar Graphs Is Hard.
- Mantas Mikaitis:
Issues with rounding in the GCC implementation of the ISO 18037: 2008 standard fixed-point arithmetic. - Mantas Mikaitis:
Stochastic Rounding: Algorithms and Hardware Accelerator. - Nicolas Marsic, Herbert De Gersem:
Convergence of optimized non-overlapping Schwarz method for Helmholtz problems in closed domains. - Lin Wang, Wonjune Cho, Kuk-Jin Yoon:
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations. - Evangelos Pournaras:
Decentralization in Digital Societies - A Design Paradox. - Florian Frohn:
A Calculus for Modular Loop Acceleration. - Paul Pu Liang, Terrance Liu, Liu Ziyin, Ruslan Salakhutdinov, Louis-Philippe Morency:
Think Locally, Act Globally: Federated Learning with Local and Global Representations. - Xueyuan Han, Thomas F. J.-M. Pasquier, Adam Bates, James Mickens, Margo I. Seltzer:
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats. - Yixiao Ge, Dapeng Chen, Hongsheng Li:
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification. - Srikrishnan Divakaran:
An Optimal Algorithm for 1-D Cutting Stock Problem. - Liuyu Xiang, Guiguang Ding:
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification. - Jan A. Bergstra, Mark Burgess:
A Promise Theoretic Account of the Boeing 737 Max MCAS Algorithm Affair. - Kee-Hoon Kim:
On the Phase Sequences and Permutation Functions in the SLM Scheme for OFDM-IM Systems. - Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde:
A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots. - Zhiyun Fan, Jie Li, Shiyu Zhou, Bo Xu:
Speaker-aware speech-transformer. - Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji, Nazanin Moradinasab:
Universal Hysteresis Identification Using Extended Preisach Neural Network. - Tao Yu, Junlin Xiong:
Distributed Networked Controller Design for Large-scale Systems under Round-Robin Communication Protocol. - Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Stance Detection Benchmark: How Robust Is Your Stance Detection? - Xiaoxuan Zhang, Krishna C. Garikipati:
Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures. - Francisco M. Garcia, Chris Nota, Philip S. Thomas:
Learning Reusable Options for Multi-Task Reinforcement Learning. - Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim:
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization. - Razieh Baradaran, Razieh Ghiasi, Hossein Amirkhani:
A Survey on Machine Reading Comprehension Systems. - Sheng-Chun Yang, Yong-Lei Wang:
A Hybrid MPI-CUDA Approach for Nonequispaced Discrete Fourier Transformation. - Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. - Chantana Chantrapornchai, Aphisit Tunsakul:
Information Extraction based on Named Entity for Tourism Corpus. - Yirong Pan, Xiao Li, Yating Yang, Rui Dong:
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation. - Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang:
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. - Muhammad Zakwan, Saeed Ahmed:
On Output Feedback Stabilization of Time-Varying Decomposable Systems with Switching Topology and Delay. - Florian Cafiero, Jean-Baptiste Camps:
Why Molière most likely did write his plays. - Jure Mocnik-Berljavac, Pankaj K. Mishra, Jure Slak, Gregor Kosec:
RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous Earth's subsurface. - Rebekka Wohlrab, Eric Knauss, Patrizio Pelliccione:
Why and How to Balance Alignment and Diversity of Requirements Engineering Practices in Automotive. - Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. - Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz:
Few-shot Learning with Multi-scale Self-supervision. - Jonathan Hasenburg, David Bermbach:
GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution. - Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski:
The SmartSHARK Ecosystem for Software Repository Mining. - Marcin Pilipczuk, Ni Luh Dewi Sintiari, Stéphan Thomassé, Nicolas Trotignon:
(Theta, triangle)-free and (even hole, K4)-free graphs. Part 2 : bounds on treewidth. - Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler:
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. - Sudipta Paul, Subhankar Mishra:
ARA : Aggregated RAPPOR and Analysis for Centralized Differential Privacy. - Federico Olimpieri:
Normalization, Taylor expansion and rigid approximation of λ-terms. - Manuel Del Verme, Bruno Castro da Silva, Gianluca Baldassarre:
Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints. - Tom Kocmi:
Exploring Benefits of Transfer Learning in Neural Machine Translation. - Øystein Strengehagen Klemetsdal, Olav Møyner, Knut-Andreas Lie:
Accelerating Multiscale Simulation of Complex Geomodels by Use of Dynamically Adapted Basis Functions. - Sida Peng, Wen Jiang, Huaijin Pi, Hujun Bao, Xiaowei Zhou:
Deep Snake for Real-Time Instance Segmentation. - Øystein S. Klemetsdal, Atgeirr F. Rasmussen, Olav Møyner, Knut-Andreas Lie:
Efficient Reordered Nonlinear Gauss-Seidel Solvers With Higher Order For Black-Oil Models. - Augustin Cosse:
Compressed Super-Resolution I: Maximal Rank Sum-of-Squares. - Daniel Jiwoong Im, Rutuja Patil, Kristin Branson:
Are skip connections necessary for biologically plausible learning rules? - Tobias Gysi, Tobias Grosser, Laurin Brandner, Torsten Hoefler:
A Fast Analytical Model of Fully Associative Caches. - Darin Peetz, Ahmed Elbanna:
On the use of Multigrid Preconditioners for Topology Optimization. - Constantin Catalin Dragan, Mark Manulis:
KYChain: User-Controlled KYC Data Sharing and Certification. - Nadia S. Taki, Ingeborg G. Gjerde:
Coupled Flow and Mechanics in a 3D Porous Media with Line Sources. - Konstantinos Semertzidis, Evaggelia Pitoura:
A Hybrid Approach to Temporal Pattern Matching. - Eric Graves, Jake B. Perazzone, Paul L. Yu, Rick S. Blum:
Secret key authentication capacity region, Part II: typical authentication rate. - Jake B. Perazzone, Eric Graves, Paul L. Yu, Rick S. Blum:
Secret key authentication capacity region, Part I: average authentication rate. - Mi Khine Oo, May Aye Khine:
Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework. - Jan Rörden, Doris Gruber, Martin Krickl, Bernhard Haslhofer:
Identifying Historical Travelogues in Large Text Corpora Using Machine Learning. - Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu:
BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network. - Michael Y.-S. Fang, Sasikanth Manipatruni, Casimir Wierzynski, Amir Khosrowshahi, Michael Robert DeWeese:
Design of optical neural networks with component imprecisions. - Christoph Stöckl, Wolfgang Maass:
Recognizing Images with at most one Spike per Neuron. - Sebastian Risi, Kenneth O. Stanley:
Improving Deep Neuroevolution via Deep Innovation Protection. - John C. Raisbeck, Matthew W. Allen, Ralph Weissleder, Hyungsoon Im, Hakho Lee:
Evolution Strategies Converges to Finite Differences. - Yaodong He, Shiu Yin Yuen:
Black Box Algorithm Selection by Convolutional Neural Network. - Omolbanin Yazdanbakhsh, Scott Dick:
A Deep Neuro-Fuzzy Network for Image Classification. - Rafi Qumsieh:
A Supervised Modified Hebbian Learning Method On Feed-forward Neural Networks. - Rupak Sarkar, Hirak Sarkar, Sayantan Mahinder, Ashiqur R. KhudaBukhsh:
Social Media Attributions in the Context of Water Crisis. - Karthik V. Aadithya, Paul Kuberry, Biliana S. Paskaleva, Pavel B. Bochev, K. Leeson, A. Mar, Ting Mei, Eric R. Keiter:
Development, Demonstration, and Validation of Data-driven Compact Diode Models for Circuit Simulation and Analysis. - Michaël Antonie van Wyk:
Multivaluedness in Networks: Theory. - Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. - Thuan Nguyen, Thinh Nguyen:
Communication-Channel Optimized Partition. - Siobhan Powell, Alyona Ivanova, David P. Chassin:
Fast Solutions in Power System Simulation through Coupling with Data-Driven Power Flow Models for Voltage Estimation. - Chien-Chung Huang, Mathieu Mari, Claire Mathieu, Kevin Schewior, Jens Vygen:
An Approximation Algorithm for Fully Planar Edge-Disjoint Paths. - Stefan Lattner:
Modeling Musical Structure with Artificial Neural Networks. - Guangmo Tong, Ruiqi Wang, Chen Ling, Zheng Dong, Xiang Li:
Time-constrained Adaptive Influence Maximization. - Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Meshlet Priors for 3D Mesh Reconstruction. - Vikramjit Mitra, Horacio Franco:
Investigation and Analysis of Hyper and Hypo neuron pruning to selectively update neurons during Unsupervised Adaptation. - Kirana Kumara P:
Preliminary Studies on the Usefulness of Nonlinear Boundary Element Method for Real-Time Simulation of Biological Organs. - Joseph P. Verburg, Kees Kroep, Vineet Gokhale, R. Venkatesha Prasad, Vijay S. Rao:
Setting the Yardstick: A Quantitative Metric for Effectively Measuring Tactile Internet. - Zhongyang Zhao, Caisheng Wang, Masoud H. Nazari:
Revenue Analysis and Optimal Placement of Stationary and Transportable Energy Storage Systems in Energy and Frequency Regulation Markets. - Thomas A. Unger, Elia Bruni:
Incentivizing the Emergence of Grounded Discrete Communication Between General Agents. - Deepesh Toshniwal, Michael DiPasquale:
Counting the dimension of splines of mixed smoothness: A general recipe, and its application to meshes of arbitrary topologies. - Sandip Paul, Kumar Sankar Ray, Diganta Saha:
Modeling Uncertainty and Imprecision in Nonmonotonic Reasoning using Fuzzy Numbers. - Usman Sajid, Guanghui Wang:
Plug-and-Play Rescaling Based Crowd Counting in Static Images. - James H. Elder, Emilio J. Almazan, Yiming Qian, Ron Tal:
MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection. - Lev Yohananov, Eitan Yaakobi:
Codes over Trees. - Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider:
Offline Contextual Bayesian Optimization for Nuclear Fusion. - Hadis Anahideh, Abolfazl Asudeh:
Fair Active Learning. - Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone, Kelly D. Sherbondy:
Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar. - Thibaud Ehret, Pablo Arias:
Implementation of the VBM3D Video Denoising Method and Some Variants. - DianChao Lin, Saif Eddin Jabari:
Pay for Intersection Priority: A Free Market Mechanism for Connected Vehicles. - Kasra Mokhtari, Alan R. Wagner:
The Pedestrian Patterns Dataset. - Zheyuan Ryan Shi, Claire Wang, Fei Fang:
Artificial Intelligence for Social Good: A Survey. - Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. - Bijan Fakhri, Troy McDaniel, Heni Ben Amor, Hemanth Venkateswara, Abhik Chowdhury, Sethuraman Panchanathan:
Foveated Haptic Gaze. - Zhigang Lu, Hong Shen:
Protect Edge Privacy in Path Publishing with Differential Privacy. - Bolei Di, Andrew G. Lamperski:
First-Order Algorithms for Constrained Nonlinear Dynamic Games. - Xiaofeng Zhu, Diego Klabjan:
Listwise Learning to Rank by Exploring Unique Ratings. - Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang:
Frosting Weights for Better Continual Training. - Thuan Nguyen, Thinh Nguyen:
Entropy-Constrained Maximizing Mutual Information Quantization. - Patrick Rodler:
Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof. - Jawad Ali, Toqeer Ali Syed, Shahrulniza Musa, Ali Zahrani:
Towards Secure IoT Communication with Smart Contracts in a Blockchain Infrastructure. - Abbas Masoumzadeh, Tilemachos Pechlivanoglou:
Network-Based Analysis of Public Transportation Systems in North American Cities. - Sheikh Muhammad Hizam, Waqas Ahmed:
A Conceptual Paper on SERVQUAL-Framework for Assessing Quality of Internet of Things (IoT) Services. - Jawad Ali, Ahmad Shahrafidz Khalid, Eiad Yafi, Shahrulniza Musa, Waqas Ahmed:
Towards a secure behavior modeling for IoT networks using Blockchain. - Thuan Nguyen, Thinh Nguyen:
On Bounds and Closed Form Expressions for Capacities of Discrete Memoryless Channels with Invertible Positive Matrices. - Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Ron Steinfeld, Amin Sakzad, Dongxi Liu:
Towards Practical Encrypted Network Traffic Pattern Matching for Secure Middleboxes. - Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov:
Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks. - Alex Aizman, Gavin Maltby, Thomas M. Breuel:
High Performance I/O For Large Scale Deep Learning. - Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu:
Vamsa: Tracking Provenance in Data Science Scripts. - Egon Börger, Klaus-Dieter Schewe:
A Behavioural Theory of Recursive Algorithms. - M. Zakaria Kurdi:
Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL. - Yinqiu Liu, Kai Qian, Jinlong Yu, Kun Wang, Lei He:
Effective scaling of blockchain beyond consensus innovations and Moore's law. - Ofir Nachum, Bo Dai:
Reinforcement Learning via Fenchel-Rockafellar Duality. - Roman V. Grigorii, J. Edward Colgate:
Closed loop application of electroadhesion for increased precision in texture rendering. - Chen Song, Jiaru Song, Qixing Huang:
HybridPose: 6D Object Pose Estimation under Hybrid Representations. - Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao:
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration. - Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Jamin Shin, Pascale Fung:
Attention over Parameters for Dialogue Systems. - Michelle Feng, Mason A. Porter:
Spatial Applications of Topological Data Analysis: Cities, Snowflakes, Random Structures, and Spiders Spinning Under the Influence. - Klaus-Dieter Schewe, Flavio Ferrarotti:
Behavioural Theory of Reflective Algorithms I: Reflective Sequential Algorithms. - Tailin Wu, Ian S. Fischer:
Phase Transitions for the Information Bottleneck in Representation Learning. - Michael V. Klibanov, Jingzhi Li, Wenlong Zhang:
Convexification for an Inverse Parabolic Problem. - Mohammad Salehi, Ekram Hossain:
Stochastic Geometry Analysis of Sojourn Time in Multi-Tier Cellular Networks. - Tailin Wu, Thomas M. Breuel, Michael Skuhersky, Jan Kautz:
Discovering Nonlinear Relations with Minimum Predictive Information Regularization. - Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao:
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting. - Bin Lyu, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Dong In Kim:
IRS-based Wireless Jamming Attacks: When Jammers can Attack without Power. - Bishwamittra Ghosh, Kuldeep S. Meel:
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. - Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata:
Fast and robust multiplane single molecule localization microscopy using deep neural network. - Philip A. Collender, Zhiyue Tom Hu, Charles Li, Qu Cheng, Xintong Li, Yue You, Song Liang, Changhong Yang, Justin V. Remais:
Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage. - Zhi Zeng, Fulei Ma:
Highly Efficient Feasible Direction Method (HEFDiM) for Structural Topology Optimization. - Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang:
Reanalysis of Variance Reduced Temporal Difference Learning. - Weizhi Li, Gautam Dasarathy, Visar Berisha:
Regularization via Structural Label Smoothing. - Yiru Chen, Eugene Wu:
Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces. - Kaixuan Long, Ying Cui, Chencheng Ye, Zhi Liu:
Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities. - Bekir Sait Ciftler, Abdullatif Albaseer, Noureddine Lasla, Mohamed M. Abdallah:
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method. - Stephen L. H. Lau, Xin Wang, Xu Yang, Edwin K. P. Chong:
Automated Pavement Crack Segmentation Using Fully Convolutional U-Net with a Pretrained ResNet-34 Encoder. - Yohan Jung, Jinkyoo Park:
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering. - Supratik Mukhopadhyay, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi, Subhajit Sidhanta, Arnab Ganguly:
Context-Aware Design of Cyber-Physical Human Systems (CPHS). - Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith:
FedDANE: A Federated Newton-Type Method. - Borja Bovcon, Matej Kristan:
A water-obstacle separation and refinement network for unmanned surface vehicles. - Vít Dolejsí, Petr Tichý:
On efficient numerical solution of linear algebraic systems arising in goal-oriented error estimates. - Jesus Selva:
Efficient ML Direction of Arrival Estimation assuming Unknown Sensor Noise Powers. - Yao Fu, Yansong Feng, John P. Cunningham:
Paraphrase Generation with Latent Bag of Words. - Xinyu Fan, Faen Zhang, Jianfei Song, Jingming Guo, Fujie Gao:
A fine-grained policy model for Provenance-based Access Control and Policy Algebras.pdf. - Xinyu Fan, Faen Zhang, Jiahong Wu, Jingming Guo:
Provenance-based Classification Policy based on Encrypted Search. - Jérôme Droniou, Jennifer A. Flegg, Gopikrishnan Chirappurathu Remesan:
Numerical solution of a two dimensional tumour growth model with moving boundary. - Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio:
WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning. - Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen:
An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs. - Alberto García-González, Antonio Huerta, Sergio Zlotnik, Pedro Díez:
A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy. - Riccardo Dondi, Giancarlo Mauri, Italo Zoppis:
Complexity Issues of String to Graph Approximate Matching. - Krzysztof Lakomy, Maciej Marcin Michalek:
Robust output-feedback VFO-ADR control of underactuated spatial vehicles in a task of following the non-parametrized path. - Francesca Abastante, Salvatore Corrente, Salvatore Greco, Isabella M. Lami, Beatrice Mecca:
Multiple criteria decision analysis with the SRF-II method to compare hypotheses of adaptive reuse for an iconic historical building. - Md Aamir Raihan, Tor M. Aamodt:
Sparse Weight Activation Training. - Steffen Herbold:
With Registered Reports Towards Large Scale Data Curation. - Quang Phuc Ha, Santanu Metia, Manh Duong Phung:
Sensing Data Fusion for Enhanced Indoor Air Quality Monitoring. - Oscar Adamuz-Hinojosa, Pablo Muñoz, Pablo Ameigeiras, Juan M. López-Soler:
Sharing gNB components in RAN slicing: A perspective from 3GPP/NFV standards. - Guido Schillaci, Antonio Pico Villalpando, Verena Vanessa Hafner, Peter Hanappe, David Colliaux, Timothée Wintz:
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces. - Mengxiang Liu, Peng Cheng, Chengcheng Zhao, Ruilong Deng, Wenhai Wang, Jiming Chen:
False Data Injection Attacks and Corresponding Countermeasure in DC Microgrid. - Haiyong Wang:
How fast does the best polynomial approximation converge than Legendre projection? - Ke Ding, Xuanji He, Guanglu Wan:
Learning Speaker Embedding with Momentum Contrast. - Sibylle Hess, Wouter Duivesteijn, Decebal Constantin Mocanu:
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring. - Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen:
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. - Jan Martin Nordbotten, Eirik Keilegavlen:
An Introduction to Multi-Point Flux (MPFA) and Stress (MPSA) Finite Volume Methods for Thermo-Poroelasticity. - Isiksu Eksioglu, Mehmet Tan:
Prediction of Drug Synergy by Ensemble Learning. - Ruslan Nikolaev, Binoy Ravindran:
Universal Wait-Free Memory Reclamation. - Firat Özdemir, Christine Tanner, Orcun Goksel:
Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation. - Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe:
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. - Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. - Kai Cai, Guangyue Han:
The Langberg-Médard Multiple Unicast Conjecture: Stable 3-Pair Networks. - Tanya Braun, Ralf Möller:
Exploring Unknown Universes in Probabilistic Relational Models. - Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu:
Deep Reinforcement Learning for Active Human Pose Estimation. - Simone Martini, Andrea Masini, Margherita Zorzi:
A journey in modal proof theory: From minimal normal modal logic to discrete linear temporal logic. - Zirun Zhu, Zhixuan Yang, Hsiang-Shang Ko, Zhenjiang Hu:
Retentive Lenses. - Patrik Christen, Olivier Del Fabbro:
Cybernetical Concepts for Cellular Automaton and Artificial Neural Network Modelling and Implementation. - Xinmeng Huang, Ernest K. Ryu, Wotao Yin:
Scaled Relative Graph of Normal Matrices. - Hidekazu Yoshioka, Yumi Yoshioka:
Regime-switching constrained viscosity solutions approach for controlling dam-reservoir systems. - Mohit Vohra, Ravi Prakash, Laxmidhar Behera:
Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment. - Dalton Cézane Gomes Valadares, Joseana Macêdo Fechine Régis de Araújo, Marco Aurélio Spohn, Angelo Perkusich, Kyller Costa Gorgônio, Elmar Uwe Kurt Melcher:
802.11g Signal Strength Evaluation in an Industrial Environment. - Joosung Lee, Sang-Won Hwang, Kyungjae Lee, Woo Jin Kim, Junhyeop Lee, Tae-Young Chung, Sangyoun Lee:
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map. - Huiwei Zhou, Zhuang Liu, Shixian Ning, Chengkun Lang, Yingyu Lin, Lei Du:
Knowledge-aware Attention Network for Protein-Protein Interaction Extraction. - Fabian Bolte, Stefan Bruckner:
Vis-a-Vis: Visual Exploration of Visualization Source Code Evolution. - Emir Zunic, Dzenana Donko, Emir Buza:
An adaptive data-driven approach to solve real-world vehicle routing problems in logistics. - Konstantinos F. Xylogiannopoulos:
Data Curves Clustering Using Common Patterns Detection. - Amparo Gil, Javier Segura, Nico M. Temme:
Numerical evaluation of Airy-type integrals arising in uniform asymptotic analysis. - Chrisogonas O. Odhiambo, Casey A. Cole, Alaleh Torkjazi, Homayoun Valafar:
State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks. - Chirag Gupta, Chikita Nangia, Chetan Kumar:
Self learning robot using real-time neural networks. - Huiwei Zhou, Zhuang Liu, Shixian Ning, Yunlong Yang, Chengkun Lang, Yingyu Lin, Kun Ma:
Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network. - Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy:
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making. - Zhenwei Liu, Donya Nojavanzadeh, Dmitri Saberi, Ali Saberi, Anton A. Stoorvogel:
Regulated State Synchronization for Homogeneous Networks of Non-introspective Agents in Presence of Input Delays: A Scale-Free Protocol Design (with a general MATLAB implementation). - Christoph Gebhardt, Antti Oulasvirta, Otmar Hilliges:
Hierarchical Reinforcement Learning as a Model of Human Task Interleaving. - Kareem Darwish:
Quantifying Polarization on Twitter: the Kavanaugh Nomination. - Nadine Kuhnert, Lea Pflüger, Andreas K. Maier:
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification. - Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An:
Deep Video Super-Resolution using HR Optical Flow Estimation. - Leonard Bohnenkämper, Marília D. V. Braga, Daniel Doerr, Jens Stoye:
Computing the rearrangement distance of natural genomes. - Susanna F. de Rezende, Or Meir, Jakob Nordström, Toniann Pitassi, Robert Robere, Marc Vinyals:
Lifting with Simple Gadgets and Applications to Circuit and Proof Complexity. - Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit:
General 3D Room Layout from a Single View by Render-and-Compare. - Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside:
PaRoT: A Practical Framework for Robust Deep Neural Network Training. - Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. - Christian Retoré:
Pomset logic: a logical and grammatical alternative to the Lambek calculus. - Soheil Pouraltafi-kheljan, Murat Göl:
Power Generation Nowcasting of the Behind-the-Meter Photovoltaic Systems. - Duc Hoang, Jesse Hamer, Gabriel N. Perdue, Steven R. Young, Jonathan A. Miller, Anushree Ghosh:
Inferring Convolutional Neural Networks' accuracies from their architectural characterizations. - Nivedita Tripathi, Senthil Kumar Yogamani:
Trained Trajectory based Automated Parking System using Visual SLAM. - Che Zhang, Shiwei Zhang, Bo Jin, Weichao Li, Zhen Wang, Qing Li, Yi Wang:
A3: An Automatic Topology-Aware Malfunction Detection and Fixation System in Data Center Networks. - Sébastien Razakarivony, Axel Barrau:
Generalized mean shift with triangular kernel profile. - Philipp Götze, Arun Kumar Tharanatha, Kai-Uwe Sattler:
Data Structure Primitives on Persistent Memory: An Evaluation. - Andrés Chacoma, Damián H. Zanette:
Heaps' law and Heaps functions in tagged texts: Evidences of their linguistic relevance. - Josef Rukavicka:
Transition Property for α-Power Free Languages with α≥2 and k≥3 Letters. - Danupon Nanongkai, Michele Scquizzato:
Equivalence Classes and Conditional Hardness in Massively Parallel Computations. - Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman:
An Exploration of Embodied Visual Exploration. - Mathieu Huot, Sam Staton, Matthijs Vákár:
Correctness of Automatic Differentiation via Diffeologies and Categorical Gluing. - Di You, Nguyen Vo, Kyumin Lee, Qiang Liu:
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. - Mohammadreza Rostam, Ryozo Nagamune, Vladimir Grebenyuk:
A Hybrid Gaussian Process Approach to Robust Economic Model Predictive Control. - Zichao Dong, Jilong Wu, TingTing Ren, Yue Wang, MengYing Ge:
DAF-NET: a saliency based weakly supervised method of dual attention fusion for fine-grained image classification. - Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani:
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. - Kirill Polzounov, Ramitha Sundar, Lee Redden:
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware. - Chelsea M. Myers, Evan Freed, Luis Fernando Laris Pardo, Anushay Furqan, Sebastian Risi, Jichen Zhu:
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples. - Xiaoran Yan, Olaf Sporns, Andrea Avena-Koenigsberger:
Efficient network navigation with partial information. - Murat Ozer, Said Varlioglu, Bilal Gonen, Mehmet F. Bastug:
A Prevention and a Traction System for Ransomware Attacks. - Alena Moiseeva, Dietrich Trautmann, Hinrich Schütze:
Multipurpose Intelligent Process Automation via Conversational Assistant. - Zefan Tang, Jieying Jiao, Peng Zhang, Meng Yue, Chen Chen, Jun Yan:
Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning. - Chnoor M. Rahman, Tarik A. Rashid:
Dragonfly Algorithm and its Applications in Applied Science - Survey. - Henry Blanchette:
A Network-Level View of Author Influence. - Dan Shiebler, Alexis Toumi, Mehrnoosh Sadrzadeh:
Incremental Monoidal Grammars. - Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
Generating Semantic Adversarial Examples via Feature Manipulation. - Renzo Angles, János Benjamin Antal, Alex Averbuch, Peter A. Boncz, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba-Pey, Norbert Martínez-Bazan, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, Mirko Spasic, Benjamin A. Steer, Gábor Szárnyas, Jack Waudby:
The LDBC Social Network Benchmark. - Victor Adewopo, Bilal Gonen, Said Varlioglu, Murat Ozer:
Plunge into the Underworld: A Survey on Emergence of Darknet. - Zefan Tang, Yanyuan Qin, Zimin Jiang, Walter O. Krawec, Peng Zhang:
Quantum-Secure Microgrid. - Zhijun Liang, Yisheng Guan, Juan Rojas:
Visual-Semantic Graph Attention Network for Human-Object Interaction Detection. - Muhammad Amith, Rebecca Lin, Rachel Cunningham, Qiwei Luna Wu, Lara S. Savas, Yang Gong, Julie A. Boom, Lu Tang, Cui Tao:
Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling. - Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou:
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC. - Bjørn Kjos-Hanssen, Clyde James Felix, Sun Young Kim, Ethan Lamb, Davin Takahashi:
VC-dimensions of nondeterministic finite automata for words of equal length. - Andreas Bartel, Michael Günther:
Inter/extrapolation-based multirate schemes - a dynamic-iteration perspective. - Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste:
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well. - Alireza Zareian, Svebor Karaman, Shih-Fu Chang:
Bridging Knowledge Graphs to Generate Scene Graphs. - Andrew M. McNutt, Gordon L. Kindlmann, Michael Correll:
Surfacing Visualization Mirages. - Yang Tang, Chaoqiang Zhao, Jianrui Wang, Chongzhen Zhang, Qiyu Sun, Feng Qian:
Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview. - Yogesh M. Chukewad, Johannes M. James, Avinash T. Singh, Sawyer B. Fuller:
RoboFly: An insect-sized robot with simplified fabrication that is capable of flight, ground, and water surface locomotion. - James A. Grant, David S. Leslie:
On Thompson Sampling for Smoother-than-Lipschitz Bandits. - Shengling Wang, Peizi Ma, Qin Hu, Xiuzhen Cheng, Weifeng Lv:
Egoistic Incentives Based on Zero-Determinant Alliances for Large-Scale Systems. - Ahmed H. Hareedy, Beyza Dabak, A. Robert Calderbank:
Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/P-LC Flash Memories. - Nishanth Kumar:
The Past and Present of Imitation Learning: A Citation Chain Study. - Anup Anand Deshmukh, Catherine Soladié, Renaud Séguier:
Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach. - Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. - Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. - Deqing Zou, Sujuan Wang, Shouhuai Xu, Zhen Li, Hai Jin:
μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection. - Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov:
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. - Yang Zhang, Qiang Ma:
Citation Recommendations Considering Content and Structural Context Embedding. - Jiabao Gao, Caijun Zhong, Xiaoming Chen, Hai Lin, Zhaoyang Zhang:
Unsupervised Learning for Passive Beamforming. - Yicheng Xu, Vincent Chau, Chenchen Wu, Yong Zhang, Yifei Zou:
Online Joint Placement and Allocation of Virtual Network Functions with Heterogeneous Servers. - Zhen Li, Deqing Zou, Shouhuai Xu, Zhaoxuan Chen, Yawei Zhu, Hai Jin:
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector. - Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia:
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving. - Alireza Zareian, Svebor Karaman, Shih-Fu Chang:
Weakly Supervised Visual Semantic Parsing. - Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, Yi-Hsuan Yang:
Automatic Melody Harmonization with Triad Chords: A Comparative Study. - William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan:
Learning to Move with Affordance Maps. - Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf:
What can robotics research learn from computer vision research? - Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh:
Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics. - Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. - Amir Zeldes, Yang Liu:
A Neural Approach to Discourse Relation Signal Detection. - Ryo Suzuki, Ryosuke Nakayama, Dan Liu, Yasuaki Kakehi, Mark D. Gross, Daniel Leithinger:
LiftTiles: Constructive Building Blocks for Prototyping Room-scale Shape-changing Interfaces. - Bo Jiang, Ming Li, Ravi Tandon:
Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation. - Hoon Hong, Jing Yang:
A Condition for Multiplicity Structure of Univariate Polynomials. - Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Training Progressively Binarizing Deep Networks Using FPGAs. - Thanh Tung Khuat, Fang Chen, Bogdan Gabrys:
An improved online learning algorithm for general fuzzy min-max neural network. - Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger:
Convolutional Networks with Dense Connectivity. - Andrew Mackey, Petros Spachos, Liang Song, Konstantinos N. Plataniotis:
Improving BLE Beacon Proximity Estimation Accuracy through Bayesian Filtering. - Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin:
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning. - Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn:
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. - Sarthak Bhagat, Shagun Uppal, Vivian Yin, Nengli Lim:
Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction. - Zdenek Dvorák, Jakub Pekárek:
Induced odd cycle packing number, independent sets, and chromatic number. - Chuanqi Liu, WaiChing Sun:
ILS-MPM: an implicit level-set-based material point method for frictional particulate contact mechanics of deformable particles. - Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Svitlana Zinger, Peter H. N. de With:
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation. - Bingqing Shen, Weiming Tan, Jingzhi Guo, Bin Wang:
From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study. - Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters:
A Nonparametric Offpolicy Policy Gradient. - Bijeeta Pal, Shruti Tople:
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers. - Stefano Mariani, Giacomo Cabri, Franco Zambonelli:
Coordination of Autonomous Vehicles: Taxonomy and Survey. - Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis:
Learning to Encode and Classify Test Executions. - Vivek Rangamgari, Shashank Tiwari, Suvra Sekhar Das, Subhas Chandra Mondal:
OTFS: Interleaved OFDM with Block CP. - Jiangbin Lyu, Rui Zhang:
Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System. - Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa:
From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules. - Thomas Krismayer, Michael Vierhauser, Rick Rabiser, Paul Grünbacher:
Comparing Constraints Mined From Execution Logs to Understand Software Evolution. - Q. Vera Liao, Daniel M. Gruen, Sarah Miller:
Questioning the AI: Informing Design Practices for Explainable AI User Experiences. - Midas Nouwens, Ilaria Liccardi, Michael Veale, David R. Karger, Lalana Kagal:
Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence. - Susanna F. de Rezende, Or Meir, Jakob Nordström, Robert Robere:
Nullstellensatz Size-Degree Trade-offs from Reversible Pebbling. - Qian Wang, He Chen, Yifan Gu, Yonghui Li, Branka Vucetic:
Minimizing the Age of Information of Cognitive Radio-Based IoT Systems Under A Collision Constraint. - Pascal Fua, Krzysztof Lis:
Comparing Python, Go, and C++ on the N-Queens Problem. - Naveen Mohan:
Architecting Safe Automated Driving with Legacy Platforms. - Hanqing Zeng, Viktor K. Prasanna:
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms. - Saqib Ali Khan, Syed Muhammad Daniyal Khalid, Muhammad Ali Shahzad, Faisal Shafait:
Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks. - William W. Hager, Hongchao Zhang:
Convergence rates for an inexact ADMM applied to separable convex optimization. - Pengfei Zhang, Eric Lo, Baotong Lu:
High Performance Depthwise and Pointwise Convolutions on Mobile Devices. - Guillaume Fieni, Romain Rouvoy, Lionel Seinturier:
SmartWatts: Self-Calibrating Software-Defined Power Meter for Containers. - Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
HyGCN: A GCN Accelerator with Hybrid Architecture. - Nathaniel Wood, David J. Hoelzle:
Temperature states in Powder Bed Fusion additive manufacturing are structurally controllable and observable. - Marzieh Pourhojjati-Sabet, Azam Rabiee:
A Soft Recommender System for Social Networks. - Fenglei Fan, Jinjun Xiong, Ge Wang:
On Interpretability of Artificial Neural Networks. - Mingyi Liu, Zhiying Tu, Zhongjie Wang, Xiaofei Xu:
LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition. - Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search. - Sharu Theresa Jose, Osvaldo Simeone:
Address-Event Variable-Length Compression for Time-Encoded Data. - Laurent Jacques, Thomas Feuillen:
The importance of phase in complex compressive sensing. - Jin Xu, Natarajan Gautam:
On Competitive Analysis for Polling Systems. - Vasileios Tsoutsouras, Joseph Story, Phillip Stanley-Marbell:
Payload-Mass-Aware Trajectory Planning on Multi-User Autonomous Unmanned Aerial Vehicles. - Pierre-Alexandre Beaufort, Christophe Geuzaine, Jean-François Remacle:
Automatic surface mesh generation for discrete models: A complete and automatic pipeline based on reparameterization. - George Fourtounis, Yannis Smaragdakis:
Deep Static Modeling of invokedynamic. - Marvin Wyrich, Regina Hebig, Stefan Wagner, Riccardo Scandariato:
Perception and Acceptance of an Autonomous Refactoring Bot. - Bojie Lv, Rui Wang, Ying Cui, Yi Gong, Haisheng Tan:
Joint Optimization of File Placement and Delivery in Cache-Assisted Wireless Networks with Limited Lifetime and Cache Space. - Fabio López-Pires, Lino Chamorro, Benjamín Barán:
A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets. - Alessandro Berti, Wil M. P. van der Aalst:
Extracting Multiple Viewpoint Models from Relational Databases. - Maximilian Hils, Rainer Böhme:
Watching the Weak Link into Your Home: An Inspection and Monitoring Toolkit for TR-069. - Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang:
A Group Norm Regularized LRR Factorization Model for Spectral Clustering. - Yihan Zhang, Shashank Vatedka, Sidharth Jaggi:
Quadratically Constrained Two-way Adversarial Channels. - Jean-Daniel Boissonnat, Clément Maria:
The Simplex Tree: an Efficient Data Structure for General Simplicial Complexes. - Jean-François Coulombel, Tomas Lundquist:
On some stable boundary closures of finite difference schemes for the transport equation. - Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar:
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. - Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi:
An Analysis of Object Representations in Deep Visual Trackers. - Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim:
Generating Object Stamps. - Peng Xu:
Deep Learning for Free-Hand Sketch: A Survey. - Thiago L. Gomes, Renato Martins, João P. K. Ferreira, Erickson R. Nascimento:
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints. - Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe:
Automatic Generation of Efficient Sparse Tensor Format Conversion Routines. - Bo Zhao, Konda Reddy Mopuri, Hakan Bilen:
iDLG: Improved Deep Leakage from Gradients. - Newton Masinde, Kalman Graffi:
Peer-to-Peer based Social Networks: A Comprehensive Survey. - Jian-Jia Weng, Fady Alajaji, Tamás Linder:
Adaptive Coding for Two-Way Lossy Source-Channel Communication. - Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. - Tathagata Chakraborti, Yasaman Khazaeni:
D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning. - Ingo Wald, Bruce Cherniak, Will Usher, Carson Brownlee, Attila T. Áfra, Johannes Günther, Jefferson Amstutz, Tim Rowley, Valerio Pascucci, Chris R. Johnson, Jim Jeffers:
Digesting the Elephant - Experiences with Interactive Production Quality Path Tracing of the Moana Island Scene. - Bruno Bernardo, Raphaël Cauderlier, Basile Pesin, Julien Tesson:
Albert, an intermediate smart-contract language for the Tezos blockchain. - Amin Sakzad, Ron Steinfeld:
Comments on "Physical-layer cryptography through massive MIMO". - Abdullo Rakhmonovich Hayotov, Soomin Jeon, Chang-Ock Lee, Kholmat Mahkambaevich Shadimetov:
Optimal quadrature formulas for CT image reconstruction in the Sobolev space of non-periodic functions. - Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas:
On the Evaluation of Intelligence Process Automation. - Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. - Benjamin Nguyen, Claude Castelluccia:
Techniques d'anonymisation tabulaire : concepts et mise en oeuvre. - Rahul Singh, Keuntaek Lee, Yongxin Chen:
Sample-based Distributional Policy Gradient. - Théo Taburet, Patrick Bas, Wadih Sawaya, Jessica J. Fridrich:
Natural Steganography in JPEG Domain with a Linear Development Pipeline. - Benjamin Rüth, Benjamin Uekermann, Miriam Mehl, Philipp Birken, Azahar Monge, Hans-Joachim Bungartz:
Quasi-Newton Waveform Iteration for Partitioned Fluid-Structure Interaction. - Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning. - Yannick Zakowski, Paul He, Chung-Kil Hur, Steve Zdancewic:
An Equational Theory for Weak Bisimulation via Generalized Parameterized Coinduction. - Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos:
REST: A thread embedding approach for identifying and classifying user-specified information in security forums. - Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi:
A Correspondence Analysis Framework for Author-Conference Recommendations. - Giuseppe Antonio Di Luna, Emmanuelle Anceaume, Silvia Bonomi, Leonardo Querzoni:
Synchronous Byzantine Lattice Agreement in O(log(f)) Rounds. - Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Streaming automatic speech recognition with the transformer model. - Jérôme Lacan, Emmanuel Lochin:
XOR-based Source Routing. - Yixuan Zhang, Nurul Suhaimi, Rana Azghandi, Mary Amulya Joseph, Miso Kim, Jacqueline A. Griffin, Andrea G. Parker:
Understanding the Use of Crisis Informatics Technology among Older Adults. - Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Latent Factor Analysis of Gaussian Distributions under Graphical Constraints. - David Umsonst, Henrik Sandberg:
On the confidentiality of controller states under sensor attacks. - Alice Paul, David P. Williamson:
Easy Capacitated Facility Location Problems, with Connections to Lot-Sizing. - Siavash Arjomand Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker:
Learning Generative Models using Denoising Density Estimators. - Xumeng Chen, Leo Yu-Ho Lo, Huamin Qu:
SirenLess: reveal the intention behind news. - Stasa Milojevic:
Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines. - Javier González-Rocha, Stephan F. J. De Wekker, Shane D. Ross, Craig A. Woolsey:
Wind profiling in the lower atmosphere from wind-induced perturbations to multirotor UAS. - Luciano da F. Costa:
Toward Generalized Clustering through an One-Dimensional Approach. - Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. - Yi Liu, Pengfei Huang, Alexander W. Bergman, Paul H. Siegel:
Rate-Constrained Shaping Codes for Structured Sources. - Hongzhi Chen, De Mi, Manuel Fuentes, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
On the Performance of PDCCH in LTE and 5G New Radio. - Hongzhi Chen, De Mi, Manuel Fuentes, David Vargas, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli:
Pioneering Studies on LTE eMBMS: Towards 5G Point-to-Multipoint Transmissions. - Ran Liu, Marakkalage Sumudu Hasala, Madhushanka Padmal, Thiruketheeswaran Shaganan, Chau Yuen, Yong Liang Guan, U-Xuan Tan:
Collaborative SLAM based on Wifi Fingerprint Similarity and Motion Information. - Abhaykumar Kumbhar, Hamidullah Binol, Simran Singh, Ismail Güvenç, Kemal Akkaya:
Heuristic Approach for Jointly Optimizing FeICIC and UAV Locations in Multi-Tier LTE-Advanced Public Safety HetNet. - Ahmed A. Mawgoud, Mohamed Hamed N. Taha, Nour Eldeen Mahmoud Khalifa:
QoS Provision for Controlling Energy Consumption in Ad-hoc Wireless Sensor Networks. - Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur:
Explainable Deep Convolutional Candlestick Learner. - Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu:
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference. - Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi:
Lifted Hybrid Variational Inference. - Keaton Hamm, Longxiu Huang:
Stability of Sampling for CUR Decompositions. - Hadi Pouransari, Oncel Tuzel:
Least squares binary quantization of neural networks. - Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao:
On Computation and Generalization of Generative Adversarial Imitation Learning. - Roberto Cominetti, Marco Scarsini, Marc Schröder, Nicolás E. Stier Moses:
Convergence of Large Atomic Congestion Games. - Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin:
Self-guided Approximate Linear Programs. - Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. - Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh:
Learning landmark guided embeddings for animal re-identification. - Md. Aminur Rab Ratul:
A Comparative Study on Crime in Denver City Based on Machine Learning and Data Mining. - Xi Chen, Yuwen Li:
Superconvergent mixed finite element methods for the pseudostress-velocity formulation of the Oseen equation. - Ioannis C. Konstantakopoulos, Kristy A. Hamilton, Tanya Veeravalli, Costas J. Spanos, Roy Dong:
smartSDH: A Mechanism Design Approach to Building Control. - Huyan Huang, Yipeng Liu, Ce Zhu:
Coupled Tensor Completion via Low-rank Tensor Ring. - Jingliang Duan, Yang Guan, Yangang Ren, Shengbo Eben Li, Bo Cheng:
Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function. - You Huang, Yuanlong Yu:
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs. - Shubhra Aich, Ian Stavness, Yasuhiro Taniguchi, Masaki Yamazaki:
Multi-Scale Weight Sharing Network for Image Recognition. - Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
Hypergraph Cuts with General Splitting Functions. - Yan Lin, Ji Liu, Jianlin Zhou:
A novel tree-structured point cloud dataset for skeletonization algorithm evaluation. - Takashi Takahashi, Yoshiyuki Kabashima:
Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting. - Vedat Levi Alev, Lap Chi Lau:
Improved Analysis of Higher Order Random Walks and Applications. - Christopher Jenkins, Aaron Stump:
Monotone recursive types and recursive data representations in Cedille. - Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu:
Multiplex Word Embeddings for Selectional Preference Acquisition. - Tuan Thanh Nguyen, Kui Cai, Kees A. Schouhamer Immink, Han Mao Kiah:
Capacity-Approaching Constrained Codes with Error Correction for DNA-Based Data Storage. - Sarthak Jain, Soheil Mohajer, Martina Cardone:
Best Relay Selection in Gaussian Half-Duplex Diamond Networks. - Suihua Cai, Wenchao Lin, Xinyuanmeng Yao, Baodian Wei, Xiao Ma:
Systematic Convolutional Low Density Generator Matrix Code. - Bariscan Yonel, Birsen Yazici:
A Deterministic Convergence Framework for Exact Non-Convex Phase Retrieval. - Yashil Sukurdeep, Martin Bauer, Nicolas Charon:
An inexact matching approach for the comparison of plane curves with general elastic metrics. - Jan Decuyper, Koen Tiels, Mark C. Runacres, Johan Schoukens:
Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling. - Hai-Ming Xu, Lingqiao Liu, Dong Gong:
Semi-supervised Learning via Conditional Rotation Angle Estimation. - Zahed Rahmati, Fatemeh Emami:
RAC Drawings in Subcubic Area. - Ruigang Niu:
HMANet: Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images. - Mark Wallace, Aldeida Aleti:
The Neighbours' Similar Fitness Property for Local Search. - Maurantonio Caprolu, Savio Sciancalepore, Roberto Di Pietro:
Short-Range Audio Channels Security: Survey of Mechanisms, Applications, and Research Challenges. - Christian Blex, Taha Yasseri:
Positive Algorithmic Bias Cannot Stop Fragmentation in Homophilic Social Networks. - (Withdrawn) Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms.
- Benita Kathleen Britto, Aditya Khandelwal:
Resolving the Scope of Speculation and Negation using Transformer-Based Architectures. - Duligur Ibeling, Thomas Icard:
Probabilistic Reasoning across the Causal Hierarchy. - Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo:
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches. - Jonas Nitzler, Jonas Biehler, Niklas Fehn, Phaedon-Stelios Koutsourelakis, Wolfgang A. Wall:
A Generalized Probabilistic Learning Approach for Multi-Fidelity Uncertainty Propagation in Complex Physical Simulations. - Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Self-Supervised Fast Adaptation for Denoising via Meta-Learning. - Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Fast Adaptation to Super-Resolution Networks via Meta-Learning. - Mirko Salaris, Alessandro Riva, Francesco Amigoni:
Multirobot Coverage of Linear Modular Environments. - Whiyoung Jung, Giseung Park, Youngchul Sung:
Population-Guided Parallel Policy Search for Reinforcement Learning. - Han Cai, Moshe Schwartz:
On Optimal Locally Repairable Codes and Generalized Sector-Disk Codes. - Sharon L. Oviatt, Laure Soulier:
Conversational Search for Learning Technologies. - Yueyu Hu, Shuai Yang, Wenhan Yang, Ling-Yu Duan, Jiaying Liu:
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach. - Patrick Murer, Hans-Andrea Loeliger:
Online Memorization of Random Firing Sequences by a Recurrent Neural Network. - Niraj Ramesh Dayama, Kashyap Todi, Taru Saarelainen, Antti Oulasvirta:
GRIDS: Interactive Layout Design with Integer Programming. - Geeta Yadav, Kolin Paul:
Architecture and Security of SCADA Systems: A Review. - Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim:
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms. - Filip Krumpe, Thomas Mendel:
Computing Curved Area Labels in Near-Real Time. - Thierry Titcheu Chekam, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Killing Stubborn Mutants with Symbolic Execution. - Liang Ma, Ziyao Zhang, Mudhakar Srivatsa:
Neural Network Tomography. - Liesbeth Allein, Artuur Leeuwenberg, Marie-Francine Moens:
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction. - Amirreza Akbari, Saieed Akbari, Ali Doosthosseini, Zahra Hadizadeh, Michael A. Henning, A. Naraghi:
Independent Domination in Subcubic Graphs. - Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino:
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. - Melissa Licciardello, Maximilian Grüner, Ankit Singla:
Understanding video streaming algorithms in the wild. - Martin Bossert:
On Decoding Using Codewords of the Dual Code. - Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein:
Expected Improvement versus Predicted Value in Surrogate-Based Optimization. - Jean-Daniel Boissonnat, Clément Maria:
Computing Persistent Homology with Various Coefficient Fields in a Single Pass. - Kalman Graffi, Newton Masinde:
LibreSocial: A Peer-to-Peer Framework for Online Social Networks. - Sama Daryanavard, Bernd Porr:
Closed-loop deep learning: generating forward models with back-propagation. - Barzan A. Yosuf, Mohamed O. I. Musa, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Energy Efficient Distributed Processing for IoT. - Said Varlioglu, Bilal Gonen, Murat Ozer, Mehmet F. Bastug:
Is Cryptojacking Dead after Coinhive Shutdown? - Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg:
Performance-Oriented Neural Architecture Search. - Adrian Ebert, Peter Kritzer, Dirk Nuyens, Onyekachi Osisiogu:
Digit-by-digit and component-by-component constructions of lattice rules for periodic functions with unknown smoothness. - Laura Titolo, Mariano M. Moscato, César A. Muñoz:
Automatic generation and verification of test-stable floating-point code. - Pengcheng An, Kenneth Holstein, Bernice d'Anjou, Berry Eggen, Saskia Bakker:
The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms. - (Withdrawn) Objects detection for remote sensing images based on polar coordinates.
- Fabian Hinterer, Simon Hubmer, Ronny Ramlau:
A note on the minimization of a Tikhonov functional with 𝓁1-penalty. - Emmanuel Abbe, Colin Sandon:
Poly-time universality and limitations of deep learning. - Takayuki Hara, Tatsuya Harada:
Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry. - Esther Max-Onakpoya, Oluwashina Madamori, Corey Baker:
Utilizing Opportunistic Social Networks for Remote Patient Monitoring in Rural Areas. - Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. - Jawad Ali, Toqeer Ali Syed, Yazed Alsaawy, Ahmad Shahrafidz Khalid, Shahrulniza Musa:
Blockchain-based Smart-IoT Trust Zone Measurement Architecture. - Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego:
Topical Result Caching in Web Search Engines. - Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu:
Predicting Student Performance in Interactive Online Question Pools Using Mouse Interaction Features. - Mustafa Safa Özdayi:
Achieving Competitiveness in Online Problems. - Chirag Gupta:
Shallow Encoder Deep Decoder (SEDD) Networks for Image Encryption and Decryption. - Marek Laskowski, Michael Zargham, Hjalmar K. Turesson, Henry M. Kim, Matt Barlin, Danil Kabanov, Eden Dhaliwal:
Evidence Based Decision Making in Blockchain Economic Systems: From Theory to Practice. - Martin Feick, Scott Bateman, Anthony Tang, André Miede, Nicolai Marquardt:
TanGi: Tangible Proxies for Embodied Object Exploration and Manipulation in Virtual Reality. - Liming Jiang, Wayne Wu, Ren Li, Chen Qian, Chen Change Loy:
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. - Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li:
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution. - Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Virtual to Real adaptation of Pedestrian Detectors for Smart Cities. - Carsten Rudolf Janda, Moritz Wiese, Eduard A. Jorswieck, Holger Boche:
Arbitrarily Varying Wiretap Channels with Non-Causal Side Information at the Jammer. - Hetong Dai, Heng Li, Weiyi Shang, Tse-Hsun Chen, Che-Shao Chen:
Logram: Efficient Log Parsing Using n-Gram Dictionaries. - Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation for Smooth Functions. - Marek Kubis, Zygmunt Vetulani, Mikolaj Wypych, Tomasz Zietkiewicz:
Open Challenge for Correcting Errors of Speech Recognition Systems. - Yihan Zhang:
List Decoding for Oblivious Arbitrarily Varying MACs: Constrained and Gaussian. - Guangyi Zhang, Aristides Gionis:
Maximizing diversity over clustered data. - Antigoni Tsiami, Petros Koutras, Petros Maragos:
STAViS: Spatio-Temporal AudioVisual Saliency Network. - Arthur Brack, Jennifer D'Souza, Anett Hoppe, Sören Auer, Ralph Ewerth:
Domain-independent Extraction of Scientific Concepts from Research Articles. - Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic:
Benchmarking In-Hand Manipulation. - Chris Dulhanty, Alexander Wong:
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification. - Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl, Mazda Farshad, Nassir Navab:
Pivot calibration concept for sensor attached mobile c-arms. - Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah:
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. - Todd F. Dupont, Johnny Guzmán, L. Ridgway Scott:
Obtaining higher-order Galerkin accuracy when the boundary is polygonally approximated. - Amit Solomon, Ken R. Duffy, Muriel Médard:
Soft Maximum Likelihood Decoding using GRAND. - Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone:
Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control. - Ali Maatouk, Saad Kriouile, Mohamad Assaad, Anthony Ephremides:
On The Optimality of The Whittle's Index Policy For Minimizing The Age of Information. - Leon Kellerhals, Tomohiro Koana:
Parameterized Complexity of Geodetic Set. - Roy Miles, Krystian Mikolajczyk:
Compression of convolutional neural networks for high performance imagematching tasks on mobile devices. - Zhenhua Shi, Dongrui Wu, Jian Huang, Yu-Kai Wang, Chin-Teng Lin:
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction. - Nicole Megow, Lukas Nölke:
Online Minimum Cost Matching on the Line with Recourse. - Song Fang, Quanyan Zhu:
A Connection between Feedback Capacity and Kalman Filter for Colored Gaussian Noises. - Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. - Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Nasser M. Nasrabadi:
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces. - Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte:
The Counterfactual χ-GAN. - Ioannis Kouvatis, Konstantinos Semertzidis, Maria Zerva, Evaggelia Pitoura, Panayiotis Tsaparas:
Forming Compatible Teams in Signed Networks. - Vyshnav M. T, S. Sachin Kumar, Soman K. P:
Offensive Language Detection: A Comparative Analysis. - Vijay K. Garg:
A Generalization of Teo and Sethuraman's Median Stable Marriage Theorem. - Ori Shmuel, Asaf Cohen, Omer Gurewitz, Alejandro Cohen:
Multi-Antenna Jamming in Covert Communication. - Ariel Shtul, Carlos Baquero, Paulo Sérgio Almeida:
Age-Partitioned Bloom Filters. - Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram:
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Pratibha Choudhary, Venkatesh Raman:
Improved Kernels for Tracking Path Problems. - Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Securing Distributed Function Approximation via Coding for Continuous Compound Channels. - Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency. - Chuan Guo, Awni Y. Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu:
Secure multiparty computations in floating-point arithmetic. - Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart:
MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. - Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao:
Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data. - Juan Pablo Borthagaray, Shawn W. Walker:
The $\mathbf{Q}$-tensor Model with Uniaxial Constraint. - Jason Radford, Kenneth Joseph:
Theory In, Theory Out: The uses of social theory in machine learning for social science. - Aditya Rajguru, Christopher Collander, William J. Beksi:
Camera-Based Adaptive Trajectory Guidance via Neural Networks. - Gui Zhou, Yijie Mao, Bruno Clerckx:
Rate-Splitting Multiple Access for Multi-antenna Downlink Communication Systems: Spectral and Energy Efficiency Tradeoff. - Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
A Probabilistic Simulator of Spatial Demand for Product Allocation. - Qinmiao Li, Mesut E. Baran:
A Supervisory Frequency Support Control Scheme for Distributed PV. - Mustafa Abdallah, Parinaz Naghizadeh, Ashish Ranjan Hota, Timothy N. Cason, Saurabh Bagchi, Shreyas Sundaram:
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs. - Dominik Schlechtweg, Sabine Schulte im Walde:
Simulating Lexical Semantic Change from Sense-Annotated Data. - Sen Lin, Guang Yang, Junshan Zhang:
A Collaborative Learning Framework via Federated Meta-Learning. - M. Ali Vosoughi, Longfei Wang, Selçuk Köse:
Voltage regulator assisted lightweight countermeasure against fault injection attacks. - Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay:
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. - Emily Meigs, Francesca Parise, Asuman E. Ozdaglar, Daron Acemoglu:
Optimal dynamic information provision in traffic routing. - Tim Y. Tang, Daniele De Martini, Dan Barnes, Paul Newman:
RSL-Net: Localising in Satellite Images From a Radar on the Ground. - Mahesh B. Patil, Ramakrishna U., Mohan S. C:
Multi-Objective Optimisation of Damper Placement for Improved Seismic Response in Dynamically Similar Adjacent Buildings. - Asma Khatun, Sk. Golam Sarowar Hossain:
Open Challenges and Issues: Artificial Intelligence for Transactive Management. - Alon Kipnis, Galen Reeves:
Gaussian Approximation of Quantization Error for Estimation from Compressed Data. - Oskar Lundström, Michel Raynal, Elad Michael Schiller:
Self-stabilizing Uniform Reliable Broadcast. - Sang-Woon Jeon, Hu Jin:
Online Estimation and Adaptation for Random Access with Successive Interference Cancellation. - Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi, Shadrokh Samavi:
Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks. - Ioannis Mantas, Marko Savic, Hendrik Schrezenmaier:
The Very Best of Perfect Non-crossing Matchings. - Noah Gamboa, Kais Kudrolli, Anand Dhoot, Ardavan Pedram:
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators. - Stefan Horoi, Guillaume Lajoie, Guy Wolf:
Internal representation dynamics and geometry in recurrent neural networks. - Ákos Hajdu, Dejan Jovanovic:
SMT-Friendly Formalization of the Solidity Memory Model. - Liming Jiang, Yuanchang Xie, Tianzhu Ren:
A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images. - A. Ashkar, María Isabel Bueno Cachadina, R. Kassem, D. Mileeva, Javier Pérez:
Linearizations for interpolation bases - a comparison I. - Sultan Almakdi, Brajendra Panda:
Designing a Bit-Based Model to Accelerate Query Processing Over Encrypted Databases in Cloud. - Ghazale Ghorbanzade, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi:
Image Inpainting by Multiscale Spline Interpolation. - Alireza Karduni, Ryan Wesslen, Isaac Cho, Wenwen Dou:
Du Bois Wrapped Bar Chart: Visualizing categorical data with disproportionate values. - Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao:
Open Domain Question Answering Using Web Tables. - Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen:
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. - Rohan Mukherjee, Swarat Chaudhuri, Chris Jermaine:
Searching a Database of Source Codes Using Contextualized Code Search. - Sihyeon Jo, Sangwon Im, Sangwook Han, Seung-Hee Yang, Hee-Eun Kim, Seong Woo Kim:
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study. - Kaemmatat Jiravanstit, Wiroonsak Santipach:
Energy-Minimizing Bit Allocation For Powerline OFDM With Multiple Delay Constraints. - Jang You Park, YongHee Jung, Wei Ding, Kwang Woo Nam:
GeoCMS : Towards a Geo-Tagged Media Management System. - Yujian Li, Bowen Liu, Zhaoying Liu, Ting Zhang:
Probabilistic K-means Clustering via Nonlinear Programming. - Yury Pisarchyk, Juhyun Lee:
Efficient Memory Management for Deep Neural Net Inference. - Poorya Zaremoodi, Gholamreza Haffari:
Learning to Multi-Task Learn for Better Neural Machine Translation. - Ye Liu, Yankan Song, Le Zhao, Ying Chen, Chen Shen:
A General Initialization Scheme for Electromagnetic Transient Simulation: Towards Large-Scale Hybrid AC-DC Grids. - Jacob Danovitch:
Linking Social Media Posts to News with Siamese Transformers. - Qiao Lan, Hyo Seung Kang, Kaibin Huang:
Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation. - Sicheng Zhu, Bang An, Shiyu Niu:
Guess First to Enable Better Compression and Adversarial Robustness. - Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek:
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. - Milad Ghaznavi, Elaheh Jalalpour, Bernard Wong, Raouf Boutaba:
Fault Tolerance for Service Function Chains. - Ferdi Kara, Hakan Kaya:
Error Probability Analysis of NOMA-based Diamond Relaying Network. - Ibrahim Gashaw, H. L. Shashirekha:
Machine Learning Approaches for Amharic Parts-of-speech Tagging. - Tran The Anh, Nguyen Cong Luong, Zehui Xiong, Dusit Niyato, Dong In Kim:
Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network. - Maurício Finavaro Aniche, Erick Maziero, Rafael Serapilha Durelli, Vinicius H. S. Durelli:
The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring. - Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang:
Visual Question Answering on 360° Images. - Matthias Weissenbacher:
Temporally Folded Convolutional Neural Networks for Sequence Forecasting. - Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao:
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving. - Emil Björnson, Pontus Giselsson:
Two Applications of Deep Learning in the Physical Layer of Communication Systems. - Sunjun Kim, Byungjoo Lee, Thomas Van Gemert, Antti Oulasvirta:
Optimal Sensor Position for a Computer Mouse. - Yiwei Zhang, Xueting Wang, Yoshiaki Sakai, Toshihiko Yamasaki:
Measuring Similarity between Brands using Followers' Post in Social Media. - Chan Li, Haiping Huang:
Learning credit assignment. - Victor Muntés-Mulero, Oscar Ripolles, Smrati Gupta, Jacek Dominiak, Eric Willeke, Peter Matthews, Balázs Somosköi:
Agile Risk Management for Multi-Cloud Software Development. - Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li:
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle. - Qi Wang, Junyu Gao, Wei Lin, Xuelong Li:
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting. - Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. - Jan Skrzypczak, Florian Schintke, Thorsten Schütt:
RMWPaxos: Fault-Tolerant In-Place Consensus Sequences. - Junhui Kim, Joongheon Kim:
Demo: Light-Weight Programming Language for Blockchain. - Gian Maria Campedelli, Iain Cruickshank, Kathleen M. Carley:
A Complex Networks Approach to Find Latent Clusters of Terrorist Groups. - Robin Brochier, Adrien Guille, Julien Velcin:
Inductive Document Network Embedding with Topic-Word Attention. - Gonçalo Mordido, Haojin Yang, Christoph Meinel:
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. - Brionna Davis, Grace Jennings, Taylor Pothast, Ilias Gerostathopoulos, Evangelos Pournaras, Raphael E. Stern:
Decentralized Optimization of Vehicle Route Planning - A Cross-City Comparative Study. - Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny:
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. - Alexander Koryagin, Darima Mylzenova, Roman Khudorozhkov, Sergey Tsimfer:
Seismic horizon detection with neural networks. - Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
DSGN: Deep Stereo Geometry Network for 3D Object Detection. - Fabian Gärtner, Felix Kühnl, Carsten R. Seemann, Christian Höner zu Siederdissen, Peter F. Stadler:
Superbubbles as an Empirical Characteristic of Directed Networks. - Xixi Lu, Seyed Amin Tabatabaei, Mark Hoogendoorn, Hajo A. Reijers:
Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns. - Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. - Saptarshi Kumar Lahiri, Kanishka Bhattacharya, Amit Shaw, L. S. Ramachandra:
A stable SPH with adaptive B-spline kernel. - Zsolt Tujner, Thomas Rooijakkers, Maran van Heesch, Melek Önen:
QSOR: Quantum-Safe Onion Routing. - V Arvind Rameshwar, Navin Kashyap:
Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels. - Mandrita Mondal, Kumar Sankar Ray:
DNA Linear Block Codes: Generation, Error-detection and Error-correction of DNA Codeword. - Sascha Kurz, Eitan Yaakobi:
PIR Codes with Short Block Length. - Zhen Li, Julian Erskine, Stéphane Caro, Abdelhamid Chriette:
Design and Control of a Variable Aerial Cable Towed System. - Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. - Tatsuaki Wada, Antonio Maria Scarfone, Hiroshi Matsuzoe:
An eikonal equation approach to thermodynamics and the gradient flows in information geometry. - Dengpeng Huang, Jan Niklas Fuhg, Christian Weißenfels, Peter Wriggers:
A machine learning based plasticity model using proper orthogonal decomposition. - Hanxiao Zhang, Shouzhou Liu, Yan-Fu Li:
Optimizing the Efficiency of Accelerated Reliability Testing for the Internet Router Motherboard. - Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Improving Image Autoencoder Embeddings with Perceptual Loss. - (Withdrawn) Two new classes of quantum MDS codes from generalized Reed-Solomon codes.
- Damien Garreau, Ulrike von Luxburg:
Explaining the Explainer: A First Theoretical Analysis of LIME. - Amirhossein Sajadi, Luka V. Strezoski, Richard M. Kolacinski, Kenneth A. Loparo:
Transmission System Planning for Integration of Renewable Electricity Generation Units. - Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. - Panagiota Fatourou, Nikolaos D. Kallimanis, Eleni Kanellou:
An Efficient Universal Construction for Large Objects. - Dou Goodman:
Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service. - Ronak Gupta, Prashant Anand, Santanu Chaudhury, Brejesh Lall, Sanjay Singh:
Compressive sensing based privacy for fall detection. - Netanel Raviv, Siddharth Jain, Jehoshua Bruck:
What is the Value of Data? On Mathematical Methods for Data Quality Estimation. - Alireza Nouri, Alireza Soroudi, Andrew Keane:
Fast Resource Scheduling for Distribution Systems Enabled with Discrete Control Devices. - Raphaela Löbel, Michael Luttenberger, Helmut Seidl:
Equivalence of Linear Tree Transducers with Output in the Free Group. - Te Sun Han, Masahide Sasaki:
Wiretap channels with causal state information: revisited. - Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker:
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark. - Gian Maria Campedelli, Francesco Calderoni, Mario Paolucci, Tommaso Comunale, Daniele Vilone, Federico Cecconi, Giulia Andrighetto:
A Policy-oriented Agent-based Model of Recruitment into Organized Crime. - Stamatis Tsianikas, Nooshin Yousefi, Jian Zhou, M. Rodgers, David W. Coit:
A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion. - Roland Haase, Stefan Heldmann, Jan Lellmann:
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition. - Johannes Himmelreich:
Ethics of Technology needs more Political Philosophy. - Luoying Yang, Zhou Xu, Jiebo Luo:
Measuring Women Representation and Impact in Films over Time. - Francesco Del Duchetto, Paul Baxter, Marc Hanheide:
Are you still with me? Continuous Engagement Assessment from a Robot's Point of View. - Jeppe Johan Waarkjær Olsen, Peter Ebert Christensen, Martin Hangaard Hansen, Alexander Rosenberg Johansen:
Autoencoding undirected molecular graphs with neural networks. - Amirhossein Sajadi, Robin Preece, Jovica Milanovic:
Evaluation of Suitability of Different Transient Stability Indices for Identification of Critical System States. - Yiyuan Li, Antonios Anastasopoulos, Alan W. Black:
Towards Minimal Supervision BERT-based Grammar Error Correction. - Nicolas Charpenay, Maël Le Treust:
Variable-Length Coding for Zero-Error Channel Capacity. - Fei Ma, Xiaomin Wang, Ping Wang:
Counterexample: scale-free networked graphs with invariable diameter and density feature. - Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. - Jie Li, Ransheng Feng, Zhi Liu, Wei Sun, Qiyue Li:
QoE-driven Coupled Uplink and Downlink Rate Adaptation for 360-degree Video Live Streaming. - Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song:
OO-VR: NUMA Friendly Object-Oriented VR Rendering Framework For Future NUMA-Based Multi-GPU Systems. - Thomas Powell:
A computational interpretation of Zorn's lemma. - Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu:
Multi-layer Optimizations for End-to-End Data Analytics. - Jolien De Letter, Anissa All, Lieven De Marez, Vasileios Avramelos, Peter Lambert, Glenn Van Wallendael:
Exploratory Study on User's Dynamic Visual Acuity and Quality Perception of Impaired Images. - Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar:
A Unified Conversational Assistant Framework for Business Process Automation. - Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Pruning Convolutional Neural Networks with Self-Supervision. - Ling-Yu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao:
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics. - Peter Cihon, Matthijs M. Maas, Luke Kemp:
Should Artificial Intelligence Governance be Centralised? Design Lessons from History. - Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire:
On Optimal Load-Memory Tradeoff of Cache-Aided Scalar Linear Function Retrieval. - Allison Beemer, Eric Graves, Jörg Kliewer, Oliver Kosut, Paul L. Yu:
Authentication Against a Myopic Adversary. - Petrus E. O. G. B. Abreu, Lucas A. Tavares, Bruno Otávio Soares Teixeira, Luis Antonio Aguirre:
Identification and nonlinearity compensation of hysteresis using NARX models. - Geesara Kulathunga, Roman Fedorenko, Sergey Kopylov, Alexandr Klimchik:
Real-Time Long Range Trajectory Replanning for UAVs in Presence of Dynamics Obstacles. - Samira Pakravan, Pouria A. Mistani, Miguel Angel Aragon-Calvo, Frédéric Gibou:
Solving inverse-PDE problems with physics-aware neural networks. - Myungjae Shin, Joongheon Kim, Marco Levorato:
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks. - Joyjit Chatterjee, Nina Dethlefs:
A Deep Learning Approach Towards Prediction of Faults in Wind Turbines. - Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen:
In Defense of Grid Features for Visual Question Answering. - Úlfar Erlingsson, Vitaly Feldman, Ilya Mironov, Ananth Raghunathan, Shuang Song, Kunal Talwar, Abhradeep Thakurta:
Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation. - R. Thomas McCoy, Robert Frank, Tal Linzen:
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks. - Daniel Vitor Ruiz, Gabriel Salomon, Eduardo Todt:
Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation. - Omry Sendik, Dani Lischinski, Daniel Cohen-Or:
Unsupervised K-modal Styled Content Generation. - Sajjad Arshad:
Understanding and Mitigating the Security Risks of Content Inclusion in Web Browsers. - Ingeborg Keller, Gerlind Plonka:
Modifications of Prony's Method for the Recovery and Sparse Approximation of Generalized Exponential Sums. - Ishaan Gulrajani, Colin Raffel, Luke Metz:
Towards GAN Benchmarks Which Require Generalization. - Aram Ter-Sarkisov:
Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos. - Brandon Paulsen, Jingbo Wang, Chao Wang:
ReluDiff: Differential Verification of Deep Neural Networks. - Marco Livesu:
Obtaining a Canonical Polygonal Schema from a Greedy Homotopy Basis with Minimal Mesh Refinement. - Ali Parchekani, Salar Nouri Naghadeh, Vahid Shah-Mansouri:
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic. - Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski:
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View. - Martin Ladecký, Ivana Pultarová, Jan Zeman:
Guaranteed two-sided bounds on all eigenvalues of preconditioned diffusion and elasticity problems solved by the finite element method. - Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. - Naina Dhingra, Eugenio Valli, Andreas M. Kunz:
Recognition and Localisation of Pointing Gestures using a RGB-D Camera. - Byung-Hoon Kim, Jong Chul Ye:
Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis. - Kuan Cheng, Xin Li, Yu Zheng:
Locally Decodable Codes with Randomized Encoding. - Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Shing-Tung Yau, Xianfeng Gu:
AE-OT-GAN: Training GANs from data specific latent distribution. - Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush, Jean-François Chamberland, Krishna R. Narayanan:
On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing. - Jieh-Sheng Lee, Jieh Hsiang:
PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata. - Geondo Park, Chihye Han, Wonjun Yoon, Daeshik Kim:
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. - Prabal Banerjee, Dushyant Behl, Palanivel A. Kodeswaran, Chaitanya Kumar, Sushmita Ruj, Sayandeep Sen:
Verifiable and Auditable Digital Interchange Framework. - Hao Xu, Giuseppe Caire, Cunhua Pan:
An Achievable Region for the Multiple Access Wiretap Channels with Confidential and Open Messages. - Luo Luo, Haishan Ye, Tong Zhang:
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems. - Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap:
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting. - Duygu Sarikaya, Pierre Jannin:
Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks. - Alireza Nouri, Alireza Soroudi, Andrew Keane:
Strategic Scheduling of Discrete Control Devices in Active Distribution Systems. - Dongyang Jin, Saiping Zhang, Xiao Huo, Wei Zhang, Fuzheng Yang:
A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection. - Jean-Claude Bajard, Jérémy Marrez, Thomas Plantard, Pascal Véron:
On Polynomial Modular Number Systems over $\mathbb{Z}/p\mathbb{Z}$. - Marcel Braukhoff, Ansgar Jüngel:
Entropy-dissipating finite-difference schemes for nonlinear fourth-order parabolic equations. - Viet Vo, Shangqi Lai, Xingliang Yuan, Shifeng Sun, Surya Nepal, Joseph K. Liu:
Accelerating Forward and Backward Private Searchable Encryption Using Trusted Execution. - Pengzhan Jin, Aiqing Zhu, George Em Karniadakis, Yifa Tang:
Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems. - Ori Shmuel, Asaf Cohen, Omer Gurewitz:
Private Information Retrieval Over Gaussian MAC. - Huanqian Yan, Xingxing Wei, Bo Li:
Sparse Black-box Video Attack with Reinforcement Learning. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
NOMA Enhanced Terrestrial and Aerial IoT Networks with Partial CSI. - Jie Huang, Fanghua Ye, Xu Chen:
A Game Generative Network Framework with its Application to Relationship Inference. - Luis Badesa, Fei Teng, Goran Strbac:
Economic Value of Inertia in Low-Carbon Power Systems. - Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski:
Learning Cross-Context Entity Representations from Text. - Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama:
Confidence Scores Make Instance-dependent Label-noise Learning Possible. - Alona Baruhov, Guy Gilboa:
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN. - Tailin Wu:
Intelligence, physics and information - the tradeoff between accuracy and simplicity in machine learning. - Sakshyam Panda, Emmanouil Panaousis, George Loukas, Christos Laoudias:
Optimizing Investments in Cyber Hygiene for Protecting Healthcare Users. - Boaz Shuval, Ido Tal:
List Decoding of Universal Polar Codes. - Hashim A. Hashim:
Attitude Determination and Estimation using Vector Observations: Review, Challenges and Comparative Results. - Raed Jaberi:
Minimum $2$-vertex-twinless connected spanning subgraph problem. - Kirill Ivanov, Rüdiger L. Urbanke:
Partially symmetric monomial codes. - Raghav Nagpal, Achyuthan Unni Krishnan, Hanshen Yu:
Reward Engineering for Object Pick and Place Training. - Pierre Aboulker, Édouard Bonnet, Eun Jung Kim, Florian Sikora:
Grundy Coloring & friends, Half-Graphs, Bicliques. - Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto:
Optimizing the Write Fidelity of MRAMs. - Achilleas Anastasopoulos, S. Sandeep Pradhan:
Decentralized sequential active hypothesis testing and the MAC feedback capacity. - Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. - Tang Liu, Daniela Tuninetti:
Secure Decentralized Pliable Index Coding. - Song Fang, Quanyan Zhu:
Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint. - Kunping Huang, Paul H. Siegel, Anxiao Jiang:
Functional Error Correction for Robust Neural Networks. - Dongfang Zhao:
Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective. - Yong Liu, Chi-Wang Shu, Mengping Zhang:
Sub-optimal convergence of discontinuous Galerkin methods with central fluxes for even degree polynomial approximations. - Sen Zheng, Renate A. Schmidt:
Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution. - Hongmin Wang:
Revisiting Challenges in Data-to-Text Generation with Fact Grounding. - Xiaoran Zhang, Hexiang Dong, Di Gao, Xiao Zhao:
A Comparative Study for Non-rigid Image Registration and Rigid Image Registration. - Xianzhe Xu, Meixia Tao, Cong Shen:
Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching. - Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu:
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. - Xinyu Yao, Nan Liu, Wei Kang:
The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns. - Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. - Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao:
Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation. - Ankit Agrawal, Sophia J. Abraham, Benjamin Burger, Chichi Christine, Luke Fraser, John M. Hoeksema, Sara Hwang, Elizabeth Travnik, Shreya Kumar, Walter J. Scheirer, Jane Cleland-Huang, Michael Vierhauser, Ryan Bauer, Steve Cox:
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System. - Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning. - Shruti Jaiswal, Gora Chand Nandi:
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction. - Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo:
Fine-grained Image-to-Image Transformation towards Visual Recognition. - Wenhui Huang, Francesco Braghin, Zhuo Wang:
Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning. - Recep Can Yavas, Victoria Kostina, Michelle Effros:
Gaussian Multiple and Random Access in the Finite Blocklength Regime. - Ravi Kiran Raman, Lav R. Varshney:
Finite-Sample Analysis of Image Registration. - Sourjya Dutta, Abbas Khalili, Elza Erkip, Sundeep Rangan:
Capacity Bounds for Communication Systems with Quantization and Spectral Constraints. - Huibing Wang, Jinjia Peng, Dongyan Chen, Guangqi Jiang, Tongtong Zhao, Xianping Fu:
Attribute-guided Feature Learning Network for Vehicle Re-identification. - Binyamin Manela:
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback. - Mohammad-Amin Charusaie, Stefano Rini, Arash Amini:
On the Compressibility of Affinely Singular Random Vectors. - Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-source Domain Adaptation for Visual Sentiment Classification. - Xiaoqing Guo, Zhen Chen, Yixuan Yuan:
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation. - Patricia Bouyer, Stéphane Le Roux, Youssouf Oualhadj, Mickael Randour, Pierre Vandenhove:
Games Where You Can Play Optimally with Finite Memory. - Harishchandra Dubey, Dimitra Emmanouilidou, Ivan J. Tashev:
CURE Dataset: Ladder Networks for Audio Event Classification. - Elham Seifossadat, Hossein Sameti:
Stochastic Natural Language Generation Using Dependency Information. - Yao Zhang, Daniel Jarrett, Mihaela van der Schaar:
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. - Tommaso Lisini Baldi, Gianluca Paolocci, Davide Barcelli, Domenico Prattichizzo:
Wearable Haptics for Remote Social Walking. - Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz:
Few-shot Action Recognition via Improved Attention with Self-supervision. - Il Bae, Jaeyoung Moon, Junekyo Jhung, Ho Suk, Taewoo Kim, Hyunbin Park, Jaekwang Cha, Jincheol Kim, Dohyun Kim, Shiho Kim:
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Naofal Al-Dhahir:
Capacity and Optimal Resource Allocation for IRS-assisted Multi-user Communication Systems. - Ahmad A. Masoud, Mohammad Abu-Ali, Ali Al-Shaikhi:
Experimental Determination of an Extended DC Servo-Motor State Space Model: An Undergraduate Experiment. - Parham Boroumand, Albert Guillen i Fabregas:
Error Exponents of Mismatched Likelihood Ratio Testing. - Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz:
Rethinking Class Relations: Absolute-relative Few-shot Learning. - Grigorii A. Trofimiuk, Peter Trifonov:
Efficient decoding of polar codes with some 16$\times$16 kernels. - Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama:
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems. - Ivan Petrenko:
An improvement of the upper bound for GKS communication game. - Xiangqiang Gao, Rongke Liu, Aryan Kaushik:
Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing. - Yonatan Urman, David Burshtein:
Feedback Channel Communication with Low Precision Arithmetic. - Haimin Chen, Chaodong Zheng:
Competitive Broadcast against Adaptive Adversary in Multi-channel Radio Networks. - Nathan Borggren, Hyoung-yoon Kim, Lihan Yao, Gary Koplik:
Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network. - Fei Feng, Peng Zhang:
Enhanced Microgrid Power Flow Incorporating Hierarchical Control. - Oka Kurniawan, Norman Tiong Seng Lee, Christopher M. Poskitt:
Securing Bring-Your-Own-Device (BYOD) Programming Exams. - Tomoya Takeuchi:
The Proximal Method of Multipliers for a Class of Nonsmooth Convex Optimization. - Jie Fan, Davide Grossi, Barteld Kooi, Xingchi Su, Rineke Verbrugge:
Commonly Knowingly Whether. - Yaping Sun, Lyutianyang Zhang, Zhiyong Chen, Sumit Roy:
Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks. - Ying Zhang, Jianhui Wang:
Towards Highly Efficient State Estimation with Nonlinear Measurements in Distribution Systems. - Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
Average Age of Information for a Multi-Source M/M/1 Queueing Model With Packet Management. - Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Attention Flow: End-to-End Joint Attention Estimation. - Vladimir Gurvich, Michael N. Vyalyi:
Computational Hardness of Multidimensional Subtraction Games. - Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti:
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations. - Giacomo Albi, Lorenzo Pareschi:
High order semi-implicit multistep methods for time dependent partial differential equations. - Amin Farajzadeh, Özgür Erçetin, Halim Yanikomeroglu:
Mobility-assisted Over-the-Air Computation for Backscatter Sensor Networks. - Mansi Ranjit Mane, Aniket Anand Deshmukh, Adam J. Iliff:
Head and Tail Localization of C. elegans. - Nir Elkayam, Meir Feder:
One shot approach to lossy source coding under average distortion constraints. - Bas van Opheusden, Luigi Acerbi, Wei Ji Ma:
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling. - Muktabh Mayank Srivastava:
Bag of Tricks for Retail Product Image Classification. - Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. - Stefania Fresca, Luca Dedè, Andrea Manzoni:
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs. - György Csomós:
On the challenges ahead of spatial scientometrics focusing on the city level. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
Heterogeneous Computation Assignments in Coded Elastic Computing. - Yunus Inan, Emre Telatar:
Finite-Level Quantization Procedures for Construction and Decoding of Polar Codes. - Yeachan Park, Myungjoo Kang:
Membership Inference Attacks Against Object Detection Models. - Minsung Kim, Davide Venturelli, Kyle Jamieson:
Leveraging Quantum Annealing for Large MIMO Processing in Centralized Radio Access Networks. - Raymond Leung:
Modelling Orebody Structures: Block Merging Algorithms and Block Model Spatial Restructuring Strategies Given Mesh Surfaces of Geological Boundaries. - Chen Ma, Dylan R. Ashley, Junfeng Wen, Yoshua Bengio:
Universal Successor Features for Transfer Reinforcement Learning. - (Withdrawn) Adaptive fractional order graph neural network.
- Francisco Huhn, Luca Magri:
Learning ergodic averages in chaotic systems. - (Withdrawn) On the Jacobi sums over Galois rings.
- Zheng-Zhi Sun, Shi-Ju Ran, Gang Su:
Tangent-Space Gradient Optimization of Tensor Network for Machine Learning. - Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Exploiting Unlabeled Data in Smart Cities using Federated Learning. - Yekai Xu, Zuofang Wan, Qingqian He, Shiguang Ni:
Evaluating Online Public Sentiments towards China: A Case Study of English and Chinese Twitter Discourse during the 2019 Chinese National Day. - Lulu Pan, Haibin Shao, Mehran Mesbahi, Yugeng Xi, Dewei Li:
On the Controllability of Matrix-weighted Networks. - Yuan Gao, Jian-Guo Liu:
Gradient flow formulation and second order numerical method for motion by mean curvature and contact line dynamics on rough surface. - Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel:
SERAD: Soft Error Resilient Asynchronous Design using a Bundled Data Protocol. - Maanak Gupta, James O. Benson, Farhan Patwa, Ravi S. Sandhu:
Secure V2V and V2I Communication in Intelligent Transportation using Cloudlets. - Qian Wang, He Chen, Yonghui Li, Branka Vucetic:
Minimizing Age of Information via Hybrid NOMA/OMA. - Tianxiang Tan, Guohong Cao:
FastVA: Deep Learning Video Analytics Through Edge Processing and NPU in Mobile. - Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao:
Relational State-Space Model for Stochastic Multi-Object Systems. - Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee:
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs. - Shenghao Yang, Jie Wang:
Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks. - Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kâafar:
On the Resilience of Biometric Authentication Systems against Random Inputs. - Ivan Wang Hei Ho, Sid Chi-Kin Chau, Elmer R. Magsino, Kanghao Jia:
Efficient 3D Road Map Data Exchange for Intelligent Vehicles in Vehicular Fog Networks. - Xuan Liu, Renato Gasoto, Cagdas D. Onal, Jie Fu:
Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot. - Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni:
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference. - Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi:
Modeling of Pruning Techniques for Deep Neural Networks Simplification. - Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. - Feng Cen, Guanghui Wang:
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features. - Yaoyi Li, Hongtao Lu:
Natural Image Matting via Guided Contextual Attention. - Mohith Damarapati, Inavamsi Enaganti, Alfred Ajay Aureate Rajakumar:
Numerical Sequence Prediction using Bayesian Concept Learning. - Farhana Sultana, Abu Sufian, Paramartha Dutta:
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey. - Seth H. Huang, Lingjie Xu, Congwei Jiang:
Residual Attention Net for Superior Cross-Domain Time Sequence Modeling. - Bohai Li, He Chen, Yong Zhou, Yonghui Li:
Age-Oriented Opportunistic Relaying in Cooperative Status Update Systems with Stochastic Arrivals. - Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia:
GridMask Data Augmentation. - Yize Yu, Yan Jiang, Mengping Zhang:
Free-stream preserving finite difference schemes for ideal magnetohydrodynamics on curvilinear meshes. - Qiuyu Zhu, Tiantian Li:
Semi-supervised learning method based on predefined evenly-distributed class centroids. - Kaipeng Wang, Andrew J. Christlieb, Yan Jiang, Mengping Zhang:
A Kernel Based Unconditionally Stable Scheme for Nonlinear Parabolic Partial Differential Equations. - Bernhard Gleiss, Laura Kovács, Lena Schnedlitz:
Interactive Visualization of Saturation Attempts in Vampire. - Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son:
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer. - Jean-Guillaume Dumas, Clément Pernet, Alexandre Sedoglavic:
On fast multiplication of a matrix by its transpose. - Shun Watanabe, Te Sun Han:
Isomorphism Problem Revisited: Information Spectrum Approach. - Xia Liu:
Approximation smooth and sparse functions by deep neural networks without saturation. - Hans-Goerg Roos, Martin Schopf:
A convection-diffusion problem with a small variable diffusion coefficient. - Shuqiao Jia, Behnaam Aazhang:
Impact of Spatial Multiplexing on Throughput of Ultra-Dense mmWave AP Network. - Jonah Ong, Ba-Tuong Vo, Ba-Ngu Vo, Du Yong Kim, Sven Nordholm:
A Bayesian 3D Multi-view Multi-object Tracking Filter. - Per Alexandersson:
NP-complete variants of some classical graph problems. - Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen:
Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory. - Antonio Javier Gallego, Jorge Calvo-Zaragoza, Robert B. Fisher:
Incremental Unsupervised Domain-Adversarial Training of Neural Networks. - Rosche Robin, Minh Triet Chau:
NimbRo Logistics - Project KittingBot. - Béatrice Mazoyer, Nicolas Hervé, Céline Hudelot, Julia Cagé:
Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais. - Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor:
WICA: nonlinear weighted ICA. - Hedongliang Liu, Hengjia Wei, Sven Puchinger, Antonia Wachter-Zeh, Moshe Schwartz:
On the Gap between Scalar and Vector Solutions of Generalized Combination Networks. - Peng Yang, Xing Xi, Tony Q. S. Quek, Jingxuan Chen, Xianbin Cao, Dapeng Oliver Wu:
RAN Slicing for Massive IoT and Bursty URLLC Service Multiplexing: Analysis and Optimization. - Dan Liu, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu:
Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction. - Nikita Benkovich, Roman Dedenok, Dmitry Golubev:
DeepQuarantine for Suspicious Mail. - Yohan Chalier, Simon Razniewski, Gerhard Weikum:
Joint Reasoning for Multi-Faceted Commonsense Knowledge. - Silvia Beddar-Wiesing, Maarten Bieshaar:
Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition. - Manuel Rigger, Zhendong Su:
Testing Database Engines via Pivoted Query Synthesis. - Martin Thomas Horsch, Silvia Chiacchiera, Youness Bami, Georg J. Schmitz, Gabriele Mogni, Gerhard Goldbeck, Emanuele Ghedini:
Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology. - Kui Du, Wutao Si, Xiaohui Sun:
Pseudoinverse-free randomized extended block Kaczmarz for solving least squares. - Ulrik Lyngs, Kai Lukoff, Petr Slovák, William Seymour, Helena Webb, Marina Jirotka, Max Van Kleek, Nigel Shadbolt:
'I Just Want to Hack Myself to Not Get Distracted': Evaluating Design Interventions for Self-Control on Facebook. - Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli:
Rational spectral filters with optimal convergence rate. - Debajyoti Paul Chowdhury, Arghya Biswas, Tomasz Sosnowski, Kristina Y. Yordanova:
Towards Evaluating Plan Generation Approaches with Instructional Texts. - Rainer Stütz, Peter Gazi, Bernhard Haslhofer, Jacob Illum:
Stake Shift in Major Cryptocurrencies: An Empirical Study. - Canjie Luo, Qingxiang Lin, Yuliang Liu, Lianwen Jin, Chunhua Shen:
Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild. - Johannes Klaus Fichte, Markus Hecher, Patrick Thier, Stefan Woltran:
Exploiting Database Management Systems and Treewidth for Counting. - Rinaldo Lima, Bernard Espinasse, Fred Freitas:
A logic-based relational learning approach to relation extraction: The OntoILPER system. - Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi:
Deep Learning for Person Re-identification: A Survey and Outlook. - Jing Jiang, Lingxiao Qu:
Coded Distributed Computing Schemes with Smaller Numbers of Input Files and Output Functions. - Takashi Nicholas Maeda, Shohei Shimizu:
Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders. - Chang-Duo Liang, Ming-Feng Ge, Zhi-Wei Liu, Yan-Wu Wang, Hamid Reza Karimi:
Predefined-time Terminal Sliding Mode Control of Robot Manipulators. - Tianjun Hou, Bernard Yannou, Yann Leroy, Emilie Poirson:
Mining customer product reviews for product development: A summarization process. - Athanasios Stratikopoulos, Juan Fumero, Zoran Sevarac, Christos Kotselidis:
Towards High Performance Java-based Deep Learning Frameworks. - Sai Abhishikth Ayyadevara, P. N. V. Sai Ram Teja, Bharath K. P, Rajesh Kumar Muthu:
Handwritten Character Recognition Using Unique Feature Extraction Technique. - Karthik R, Anvita Dwivedi, Haripriya M, Bharath K. P, Rajesh Kumar Muthu:
Radial Based Analysis of GRNN in Non-Textured Image Inpainting. - Benoît Kloeckner:
Bad cycles in iterative Approval Voting. - Alexander Fengler, Peter Jung, Giuseppe Caire:
Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity. - Devarpita Sinha, Rajarshi Roy:
Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems. - Markus Hecher, Michael Morak, Stefan Woltran:
Structural Decompositions of Epistemic Logic Programs. - Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen:
Towards Integration-Level Test Case Generation Using Call Site Information. - Chris Heinrich, Michael Laskin, Simas Glinskis, Evert P. L. van Nieuwenburg:
Roof Age Determination for the Automated Site-Selection of Rooftop Solar. - Faheem Zafari, Prithwish Basu, Kin K. Leung, Jian Li, Ananthram Swami, Don Towsley:
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach. - Takeshi Terui, Yasuyuki Minamiyama, Kazutsuna Yamaji:
Possibility and prevention of inappropriate data manipulation in Polar Data Journal. - Mikael Zayenz Lagerkvist:
State Representation and Polyomino Placement for the Game Patchwork. - James Aspnes:
Notes on Theory of Distributed Systems. - Mikael Zayenz Lagerkvist:
Nmbr9 as a Constraint Programming Challenge. - Remi A. Chou, Jörg Kliewer:
Distributed Secure Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme. - James E. Smith:
(Newtonian) Space-Time Algebra. - Xiomara S. Q. Chacón, Thiago C. Silva, Diego R. Amancio:
Comparing the impact of subfields in scientific journals. - Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Salman Haider, Syed Asad Raza Kazmi:
An extended quantum process algebra (eQPAlg) approach for distributed quantum systems. - Luis A. Mateos:
Bionic Sea Urchin Robot with Foldable Telescopic Actuator. - Rohit R. Muthyala, Davi Geiger, Zvi M. Kedem:
Quantum Interference for Counting Clusters. - Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang:
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. - Omar James Faqir, Eric C. Kerrigan, Deniz Gündüz:
Information transmission bounds between moving terminals. - Ambuj Varshney, Andreas Soleiman, Thiemo Voigt:
TunnelScatter: Low Power Communication for Sensor Tags using Tunnel Diodes. - Volker Nannen, Damian Bover, Dieter Zöbel:
Integrated Sensing and Earthmoving Vehicle for Lunar Landing Pad Construction. - Alec J. Linot, Michael D. Graham:
Deep learning to discover and predict dynamics on an inertial manifold. - Mohamed-Ali Belabbas:
On implicit regularization: Morse functions and applications to matrix factorization. - Alexander Yu. Chunikhin, Marina D. Sviatnenko:
On Concept of Petri Nets Receptors and Effectors. - Joël Colloc:
Perspectives and Ethics of the Autonomous Artificial Thinking Systems. - Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen:
Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. - Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, László Nádai, Kwok-Wing Chau:
Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants. - Charbel Saliba, Laura Luzzi, Cong Ling:
Wyner-Ziv reconciliation for key exchange based on Ring-LWE. - Paul J. Pritz, Daniel Perez, Kin K. Leung:
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems. - Thomas Ehrhard:
On the linear structure of cones. - Ernst Moritz Hahn, Arnd Hartmanns:
Symblicit Exploration and Elimination for Probabilistic Model Checking. - Lutz Bornmann, Richard Williams:
An Evaluation of Percentile Measures of Citation Impact, and a Proposal for Making Them Better. - Nikolaos Vlassis, Ran Ma, WaiChing Sun:
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity. - Luis A. Mateos:
Bio-inspired Adaptive Latching System for Towing and Guiding Power-less Floating Platforms with Autonomous Robotic Boats. - Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee:
High-Fidelity Synthesis with Disentangled Representation. - John Just:
Granular Learning with Deep Generative Models using Highly Contaminated Data. - Han Bao, Nam Dinh, Linyu Lin, Robert Youngblood, Jeffrey Lane, Hongbin Zhang:
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation. - Daniel Selsam, Sebastian Ullrich, Leonardo de Moura:
Tabled Typeclass Resolution. - Sumi Acharjee, Konstantinos Georgiou, Somnath Kundu, Akshaya Srinivasan:
Lower Bounds for Shoreline Searching with 2 or More Robots. - Mikhail Mandrykin, Jake O'Shannessy, Jacob Payne, Ilya Shchepetkov:
Formal specification of a security framework for smart contracts. - Nikita Korzhitskii, Niklas Carlsson:
Characterizing the Root Landscape of Certificate Transparency Logs. - Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien:
Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization. - Olivier Guye:
Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Synthesis and Perspective. - Oren Haik, Oded Perry, Eli Chen, Peter Klammer:
A Novel Inspection System For Variable Data Printing Using Deep Learning. - Olegs Verhodubs:
Merging of Ontologies Through Merging of Their Rules. - Wojciech Czerwinski, Slawomir Lasota, Ranko Lazic, Jérôme Leroux, Filip Mazowiecki:
Reachability in fixed dimension vector addition systems with states. - Marcin Jurdzinski, Rémi Morvan:
A Universal Attractor Decomposition Algorithm for Parity Games. - Carina Prunkl, Jess Whittlestone:
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. - Joy Bose:
Extraction of Relevant Images for Boilerplate Removal in Web Browsers. - Dawid Przyczyna, Sébastien Pecqueur, Dominique Vuillaume, Konrad Szacilowski:
Reservoir computing for sensing: an experimental approach. - Pegah Sagheb Haghighi, Olurotimi Seton, Olfa Nasraoui:
An Explainable Autoencoder For Collaborative Filtering Recommendation. - Mukul Kumar, Youna Hu, Will Headden, Rahul Goutam, Heran Lin, Bing Yin:
Shareable Representations for Search Query Understanding. - Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. - Patricia Bouyer, Thomas Brihaye, Mickael Randour, Cédric Rivière, Pierre Vandenhove:
Decisiveness of Stochastic Systems and its Application to Hybrid Models. 149-165 - Christine Bauer, Eva Zangerle:
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. - Anupriya Gogna, Angshul Majumdar:
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. - Liang Xu, Yu Tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Xuanwei Zhang:
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese. - Yi-Chi Liao, Sunjun Kim, Byungjoo Lee, Antti Oulasvirta:
Button Simulation and Design via FDVV Models. - Antonio Bazco Nogueras, Arash Gholami Davoodi, Paul de Kerret, David Gesbert, Nicolas Gresset, Syed Ali Jafar:
DoF Region of the Decentralized MIMO Broadcast Channel$\unicode{x2014}$How many informed antennas do we need? - Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison:
Classifying All Interacting Pairs in a Single Shot. - Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. - Payal, Sangita Kansal:
Domination in Signed Petri Net. - Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh:
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. - Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Jasim Ramadhan:
Universal Differential Equations for Scientific Machine Learning. - Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald:
RoutedFusion: Learning Real-time Depth Map Fusion. - Karoliina Lehtinen, Martin Zimmermann:
Good-for-games ω-Pushdown Automata. - Jarrett Holtz, Arjun Guha, Joydeep Biswas:
SMT-based Robot Transition Repair. - Haibo Li:
The joint bidiagonalization process with partial reorthogonalization. - Andrew M. Mironov:
State diagrams of functional programs. - Zeyuan Allen-Zhu, Yuanzhi Li:
Backward Feature Correction: How Deep Learning Performs Deep Learning. - Florian Seiffarth, Tamás Horváth, Stefan Wrobel:
Maximal Closed Set and Half-Space Separations in Finite Closure Systems. - Michiel van der Meer, Matteo Pirotta, Elia Bruni:
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning. - Jesus Tordesillas, Brett Thomas Lopez, Michael Everett, Jonathan P. How:
FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. - Hiba Arnaout, Simon Razniewski, Gerhard Weikum:
Negative Statements Considered Useful. - Kumar Saurav, Rahul Vaze:
Game of Ages. - Georg Nawratil:
Evaluating the snappability of bar-joint frameworks. - Michael A. Skinner, Lakshmi Raman, Neel Shah, Abdelaziz Farhat, Sriraam Natarajan:
A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children. - Timothy Woinoski, Alon Harell, Ivan V. Bajic:
Towards Automated Swimming Analytics Using Deep Neural Networks. - Vlad Niculae, André F. T. Martins:
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. - Marat Dukhan, Artsiom Ablavatski:
The Two-Pass Softmax Algorithm. - Ankush Das, Frank Pfenning:
Session Types with Arithmetic Refinements and Their Application to Work Analysis. - Abdulwahab Alazeb, Brajendra Panda:
Maintaining Data Integrity in Fog Computing Based Critical Infrastructure Systems. - Arnold Filtser:
Scattering and Sparse Partitions, and their Applications. - Nikita Kitaev, Lukasz Kaiser, Anselm Levskaya:
Reformer: The Efficient Transformer. - Natalia Kopteva:
Error analysis for time-fractional semilinear parabolic equations using upper and lower solutions. - Clement Blaudeau, Natarajan Shankar:
A Verified Packrat Parser Interpreter for Parsing Expression Grammars. - John Fearnley, Rasmus Ibsen-Jensen, Rahul Savani:
One-Clock Priced Timed Games are PSPACE-hard. - Anelise Newman, Barry A. McNamara, Camilo Fosco, Yun Bin Zhang, Pat Sukhum, Matthew Tancik, Nam Wook Kim, Zoya Bylinskii:
TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data. - Kangle Deng, Aayush Bansal, Deva Ramanan:
Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders. - Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan:
LESS is More: Rethinking Probabilistic Models of Human Behavior. - Luca Papariello, Alexandros Bampoulidis, Mihai Lupu:
On the Replicability of Combining Word Embeddings and Retrieval Models. - Mohammed S. Alshehri, Brajendra Panda:
A Blockchain-Encryption-Based Approach to Protect Fog Federations from Rogue Nodes. - Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei:
CHIPKIT: An agile, reusable open-source framework for rapid test chip development. - William B. Langdon:
Fast Generation of Big Random Binary Trees. - Na Du, Feng Zhou, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang:
Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving. - Wouter J. A. van Heeswijk:
Donald Duck Holiday Game: A numerical analysis of a Game of the Goose role-playing variant. - Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao Kenneth Huang:
Heteroglossia: In-Situ Story Ideation with the Crowd. - Hang Hu, Limin Yang, Shihan Lin, Gang Wang:
Security Vetting Process of Smart-home Assistant Applications: A First Look and Case Studies. - Zhichao Peng, Qi Tang, Xian-Zhu Tang:
An adaptive discontinuous Petrov-Galerkin method for the Grad-Shafranov equation. - Subhrangsu Mandal, Anisur Rahaman Molla, William K. Moses Jr.:
Live Exploration with Mobile Robots in a Dynamic Ring, Revisited. - Siyi Yang, Ahmed H. Hareedy, A. Robert Calderbank, Lara Dolecek:
Topology-Aware Cooperative Data Protection in Blockchain-Based Decentralized Storage Networks. - Abhay Rawat, Kamalakar Karlapalem:
Multi-Robot Formation Control Using Reinforcement Learning. - Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut:
On Demand Solid Texture Synthesis Using Deep 3D Networks. - Madan Ravi Ganesh, Jason J. Corso:
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation. - Muhammad Hassan Tanveer, Antony Thomas, Xiaowei Wu, Hongxiao Zhu:
Simulate forest trees by integrating L-system and 3D CAD files. - Sifan Wang, Yujun Teng, Paris Perdikaris:
Understanding and mitigating gradient pathologies in physics-informed neural networks. - Shenyu Liu, Yinai Fan, Mohamed-Ali Belabbas:
Geometric Motion Planning for Affine Control Systems with Indefinite Boundary Conditions and Free Terminal Time. - Bowen Zhang, Hexiang Hu, Fei Sha:
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories. - Anoosheh Heidarzadeh, Alex Sprintson:
Private Computation with Individual and Joint Privacy. - Aparna Bharati, Daniel Moreira, Patrick J. Flynn, Anderson Rocha, Kevin W. Bowyer, Walter J. Scheirer:
Learning Transformation-Aware Embeddings for Image Forensics. - Luca Puglia, Cormac Brick:
Deep Learning Stereo Vision at the edge. - Noman Akbar, Shihao Yan, Asad Masood Khattak, Nan Yang:
On the Pilot Contamination Attack in Multi-Cell Multiuser Massive MIMO Networks. - Feras A. Saad, Cameron E. Freer, Martin C. Rinard, Vikash K. Mansinghka:
Optimal Approximate Sampling from Discrete Probability Distributions. - Kathryn P. Drake, Grady B. Wright:
A stable algorithm for divergence-free radial basis functions in the flat limit. - Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Boosting Deep Face Recognition via Disentangling Appearance and Geometry. - Anna Guerra, Davide Dardari, Petar M. Djuric:
Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach. - Merima Kulin, Tarik Kazaz, Ingrid Moerman, Eli De Poorter:
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer. - Weiyan Shi, Xuewei Wang, Yoojung Oh, Jingwen Zhang, Saurav Sahay, Zhou Yu:
Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies. - Pedro Zuidberg Dos Martires, Samuel Kolb:
Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration. - Zhenqiang Ying, Alan C. Bovik:
180-degree Outpainting from a Single Image. - Min Jin Park, Joshua I. James:
Preliminary Study of a Google Home Mini. - Abhishek Agarwal, Olgica Milenkovic, Srilakshmi Pattabiraman, João Ribeiro:
Group Testing with Runlength Constraints for Topological Molecular Storage. - Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. - Ilona Ambartsumyan, Eldar Khattatov, Ivan Yotov:
A coupled multipoint stress - multipoint flux mixed finite element method for the Biot system of poroelasticity. - Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
EGO-TOPO: Environment Affordances from Egocentric Video. - Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai:
Bi-Decoder Augmented Network for Neural Machine Translation. - Ciprian Chelba, Mia Xu Chen, Ankur Bapna, Noam Shazeer:
Faster Transformer Decoding: N-gram Masked Self-Attention. - Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Jose M. Faleiro, Joseph E. Gonzalez, Joseph M. Hellerstein, Alexey Tumanov:
Cloudburst: Stateful Functions-as-a-Service. - Yonglong Li, Vincent Y. F. Tan:
Second-Order Asymptotics of Sequential Hypothesis Testing. - Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu:
Actions as Moving Points. - Qi Wang, Qiang Li, Xuelong Li:
Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution. - Sanju Menon, Weiyu Zhang, Simon T. Perrault:
Nudge for Deliberativeness: How Interface Features Influence Online Discourse. - Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan:
Cross-dataset Training for Class Increasing Object Detection. - Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar, Scott W. Ruston, Steven R. Corman, Hasan Davulcu, Paulo Shakarian:
A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts. - Lu Wang, Jie Yang:
Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval. - Lei Wang, Piotr Koniusz:
Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition. - Chun Fui Liew, Takehisa Yairi:
Companion Unmanned Aerial Vehicles: A Survey. - Chiwoo Park, David J. Borth, Nicholas S. Wilson, Chad N. Hunter, Fritz J. Friedersdorf:
Robust Gaussian Process Regression with a Bias Model. - Jeong Joon Park, Aleksander Holynski, Steven M. Seitz:
Seeing the World in a Bag of Chips. - Jesse H. Engel, Lamtharn Hantrakul, Chenjie Gu, Adam Roberts:
DDSP: Differentiable Digital Signal Processing. - Pedro Cisneros-Velarde, Francesco Bullo:
Hierarchical Network Formation Games. - Jongmok Kim, Jooyoung Jang, Hyunwoo Park:
Structured Consistency Loss for semi-supervised semantic segmentation. - Xiaoguang Tu, Yao Luo, Hengsheng Zhang, Wenjie Ai, Zheng Ma, Mei Xie:
Face Attribute Invertion. - Ryohei Oura, Ami Sakakibara, Toshimitsu Ushio:
Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Büchi Automata. - Valerio Bioglio, Frederic Gabry, Ingmar Land, Jean-Claude Belfiore:
Multi-Kernel Polar Codes: Concept and Design Principles. - Cédric Pilatte:
NP-completeness of slope-constrained drawing of complete graphs. - David Balduzzi, Wojciech M. Czarnecki, Thomas W. Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel:
Smooth markets: A basic mechanism for organizing gradient-based learners. - Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester:
Block-wise Dynamic Sparseness. - Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment. - Stephanie Brandl, David Lassner, Maximilian Alber:
Balancing the composition of word embeddings across heterogenous data sets. - Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton:
Hydra: Preserving Ensemble Diversity for Model Distillation. - Weishu Liu, Li Tang, Guangyuan Hu:
Funding information in Web of Science: An updated overview. - Debasis Dwibedy, Rakesh Mohanty:
Online Scheduling with Makespan Minimization: State of the Art Results, Research Challenges and Open Problems. - Mohammadreza Doostmohammadian:
Recovering the Structural Observability of Composite Networks via Cartesian Product. - Christoph Benzmüller:
A (Simplified) Supreme Being Necessarily Exists - Says the Computer! - Jonathan Pan:
IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach. - Ibrahim Halfaoui, Fahd Bouzaraa, Onay Urfalioglu, Minzhen Li:
Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention. - Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh:
Partial MDS Codes with Local Regeneration. - Ferdinand Blomqvist:
On Hard-Decision Decoding of Product Codes. - Natalia Krizhanovsky, Andrew Krizhanovsky:
Semi-automatic methods for adding words to the dictionary of VepKar corpus based on inflectional rules extracted from Wiktionary. - (Withdrawn) Interpretation and Simplification of Deep Forest.
- Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. - Xu Fang, Chen Wang, Lihua Xie, Jie Chen:
Cooperative Pursuit with Multi-Pursuer and One Faster Free-moving Evader. - Andrés Mafla, Sounak Dey, Ali Furkan Biten, Lluís Gómez, Dimosthenis Karatzas:
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features. - Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts:
HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset. - Isuru Udayangani Hewapathirana:
Change Detection in Dynamic Attributed Networks. - Cong Yuren, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
NODIS: Neural Ordinary Differential Scene Understanding. - Yongseok Jang, Simon Shaw:
Finite Element Approximation and Analysis of Viscoelastic Wave Propagation with Internal Variable Formulations. - Éric Colin de Verdière, Salman Parsa:
Deciding contractibility of a non-simple curve on the boundary of a 3-manifold: A computational Loop Theorem. - Sharon Ayzik, Shai Avidan:
Deep Image Compression using Decoder Side Information. - Pengchao Han, Shiqiang Wang, Kin K. Leung:
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. - Henrik Forssell, Evgeny Kharlamov, Evgenij Thorstensen:
On Equivalence and Cores for Incomplete Databases in Open and Closed Worlds. - Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He:
Deep Audio-Visual Learning: A Survey. - Stefan Böttcher, Rita Hartel, Sven Peeters:
Simulation computation in grammar-compressed graphs. - József Németh:
Adversarial Disentanglement with Grouped Observations. - Yansheng Wu, Qin Yue, Shuqin Fan:
Self-reciprocal and self-conjugate-reciprocal irreducible factors of $x^n-λ$ and their applications. - Ulderico Fugacci, Claudia Landi, Hanife Varli:
Critical Sets of PL and Discrete Morse Theory: a Correspondence. - M. Ashok Kumar, Kumar Vijay Mishra:
Cramér-Rao Lower Bounds Arising from Generalized Csiszár Divergences. - Audrey Richard, Ian Cherabier, Martin R. Oswald, Vagia Tsiminaki, Marc Pollefeys, Konrad Schindler:
Learned Multi-View Texture Super-Resolution. - Kary Ho, Andrew Gilbert, Hailin Jin, John P. Collomosse:
Neural Architecture Search for Deep Image Prior. - Natale Patriciello, Sanjay Goyal, Sandra Lagén, Lorenza Giupponi, Biljana Bojovic, Alpaslan Demir, Mihaela C. Beluri:
NR-U and WiGig Coexistence in 60 GHz Bands. - He Chen, Yifan Gu, Soung-Chang Liew:
Age-of-Information Dependent Random Access for Massive IoT Networks. - Thomas Haugland Johansen, Steffen Aagaard Sørensen:
Towards detection and classification of microscopic foraminifera using transfer learning. - Yabing Sun, Weidong Zhao:
Numerical methods for mean-field stochastic differential equations with jumps. - Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu:
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. - Saksham Chand, Yanhong A. Liu:
What's Live? Understanding Distributed Consensus. - Brandon Runnels, Vinamra Agrawal, Weiqun Zhang, Ann S. Almgren:
Massively parallel finite difference elasticity using a block-structured adaptive mesh refinement with a geometric multigrid solver. - Julian Renner, Sven Puchinger, Antonia Wachter-Zeh, Camilla Hollanti, Ragnar Freij-Hollanti:
Low-Rank Parity-Check Codes over the Ring of Integers Modulo a Prime Power. - Amin Kazemian-Kale-Kale, Azadeh Gholami, Mohammad Rezaie-Balf, Amir Mosavi, Ahmed M. A. Sattar, Bahram Gharabaghi, Hossein Bonakdari:
A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy. - Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang:
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. - Hans Fangohr, Vidar Fauske, Thomas Kluyver, Maximilian Albert, Oliver Laslett, David Cortés-Ortuño, Marijan Beg, Min Ragan-Kelly:
Testing with Jupyter notebooks: NoteBook VALidation (nbval) plug-in for pytest. - Joshua Y. Kim, Greyson Y. Kim, Kalina Yacef:
Detecting depression in dyadic conversations with multimodal narratives and visualizations. - Kai Wan, Daniela Tuninetti, Pablo Piantanida:
An Index Coding Approach to Caching with Uncoded Cache Placement. - Sudin Kadam, Ravi N. Banavar:
A note on the kinematic model of the planar Purcell's swimmer. - Sven Puchinger, Julian Renner, Johan Rosenkilde:
Generic Decoding in the Sum-Rank Metric. - Zhenlin Wang, Xun Huan, Krishna C. Garikipati:
Identification of the partial differential equations governing microstructure evolution in materials: Inference over incomplete, sparse and spatially non-overlapping data. - Rupesh Kumar Mahendran, Hirshikesh, Ratna Kumar Annabattula, Sundararajan Natarajan:
Continuum modelling of stress diffusion interactions in an elastoplastic medium in the presence of geometric discontinuity. - Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun:
Enabling the Analysis of Personality Aspects in Recommender Systems. - Hendrik Ranocha, David I. Ketcheson:
Relaxation Runge-Kutta Methods for Hamiltonian Problems. - Nathan Borggren, Lihan Yao:
Correlations of Multi-input Monero Transactions. - Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao, Surajit Chaudhuri:
TableQnA: Answering List Intent Queries With Web Tables. - Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. - Gabriel de Souza Pereira Moreira:
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]. - Sami Khenissi, Olfa Nasraoui:
Modeling and Counteracting Exposure Bias in Recommender Systems. - Kristina Scharei, Florian Heidecker, Maarten Bieshaar:
Knowledge Representations in Technical Systems - A Taxonomy. - Xiping Wu, Mohammad Dehghani Soltani, Lai Zhou, Majid Safari, Harald Haas:
Hybrid LiFi and WiFi Networks: A Survey. - Song Cheng, Qi Liu, Enhong Chen:
Domain Adaption for Knowledge Tracing. - Kimessha Paupamah, Steven James, Richard Klein:
Quantisation and Pruning for Neural Network Compression and Regularisation. - Yiqi Gu, Haizhao Yang, Chao Zhou:
SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations. - Xueru Zhang, Mingyan Liu:
Fairness in Learning-Based Sequential Decision Algorithms: A Survey. - Yavuz Yapici, Nadisanka Rupasinghe, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Physical Layer Security for NOMA Transmission in mmWave Drone Networks. - Peter Sorrenson, Carsten Rother, Ullrich Köthe:
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). - Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Distributed $\mathscr{H}_2$ Control for Interconnected Discrete-Time Systems: A Dissipativity-based Approach. - Etai Littwin, Lior Wolf:
On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width. - C. Estelle Smith, Bowen Yu, Anjali Srivastava, Aaron Halfaker, Loren Terveen, Haiyi Zhu:
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems. - C. Estelle Smith, Eduardo Nevarez, Haiyi Zhu:
Disseminating Research News in HCI: Perceived Hazards, How-To's, and Opportunities for Innovation. - Anthony T. Chronopoulos, S. K. Kim:
s-Step Orthomin and GMRES implemented on parallel computers. - Narayanan Rengaswamy, A. Robert Calderbank, Michael Newman, Henry D. Pfister:
Classical Coding Problem from Transversal $T$ Gates. - Jingwen Chen, Lingbo Liu, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin:
Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction. - Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho:
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. - Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta:
A Game-Theoretic Approach to a Task Delegation Problem. - Zilong Wang, Dongxu Ma, Guang Gong, Erzhong Xue:
New Construction of Complementary Sequence (or Array) Sets and Complete Complementary Codes. - Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov:
Bio-Inspired Hashing for Unsupervised Similarity Search. - Stefan Kratsch, Florian Nelles:
Efficient parameterized algorithms for computing all-pairs shortest paths. - Jonathan Brophy, Daniel Lowd:
EGGS: A Flexible Approach to Relational Modeling of Social Network Spam. - Alejandro Cortiñas, Miguel R. Luaces, Tirso V. Rodeiro:
A Case Study on Visualizing Large Spatial Datasets in a Web-based Map Viewer. - Han Gong:
Convolutional Mean: A Simple Convolutional Neural Network for Illuminant Estimation. - Burak Çakmak, Manfred Opper:
Analysis of Bayesian Inference Algorithms by the Dynamical Functional Approach. - Chennakesava Kadapa, Wulf G. Dettmer, Djordje Peric:
Accurate iteration-free mixed-stabilised formulation for laminar incompressible Navier-Stokes: Applications to fluid-structure interaction. - Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. - Jason M. Pittman, Nikki Robinson:
Shades of Perception- User Factors in Identifying Password Strength. - Phillip Hyatt, Connor S. Williams, Marc D. Killpack:
Parameterized and GPU-Parallelized Real-Time Model Predictive Control for High Degree of Freedom Robots. - Michael H. Fischer, Richard R. Yang, Monica S. Lam:
ImagineNet: Restyling Apps Using Neural Style Transfer. - Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov:
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning. - Prasad Krishnan, V. Lalitha, Lakshmi Natarajan:
Coded Data Rebalancing: Fundamental Limits and Constructions. - David Barber:
Private Machine Learning via Randomised Response. - Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt:
Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation. - Martin J. Gander, Pratik M. Kumbhar, Albert E. Ruehli:
Asymptotic Analysis for Overlap in Waveform Relaxation Methods for RC Type Circuits. - Steve Huntsman, Michael Robinson:
The geometry of syntax and semantics for directed file transformations. - Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan:
Differentially Private and Fair Classification via Calibrated Functional Mechanism. - Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin:
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. - Umang Mathur, Mahesh Viswanathan:
Atomicity Checking in Linear Time using Vector Clocks. - Ryan Gabrys, Srilakshmi Pattabiraman, Olgica Milenkovic:
Mass Error-Correction Codes for Polymer-Based Data Storage. - Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud, Alexis Decurninge:
Joint Constellation Design for the Two-User Non-Coherent Multiple-Access Channel. - Sebastian Enqvist:
A circular proof system for the hybrid mu-calculus. - Chuteng Zhou, Prad Kadambi, Matthew Mattina, Paul N. Whatmough:
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation. - Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye:
Modeling Product Search Relevance in e-Commerce. - Qizhu Li, Xiaojuan Qi, Philip H. S. Torr:
Unifying Training and Inference for Panoptic Segmentation. - Oscar de Felice, Gustavo de Felice:
A smile I could recognise in a thousand: Automatic identification of identity from dental radiography. - Mahdi Soltani, Mahdi Jafari Siavoshani, Amir Hossein Jahangir:
A Content-Based Deep Intrusion Detection System. - Dor Livne, Kobi Cohen:
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning. - Dimitrios Boursinos, Xenofon D. Koutsoukos:
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components. - Sungjin Im, Maryam Shadloo:
Weighted Completion Time Minimization for Unrelated Machines via Iterative Fair Contention Resolution. - Andreas Madsen, Alexander Rosenberg Johansen:
Neural Arithmetic Units. - Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf:
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. - Lior Wolf, Sagie Benaim, Tomer Galanti:
Unsupervised Learning of the Set of Local Maxima. - Bingyi Cao, André Araújo, Jack Sim:
Unifying Deep Local and Global Features for Efficient Image Search. - Ziang Liu, Dongrui Wu:
Unsupervised Pool-Based Active Learning for Linear Regression. - Yanpei Shi, Qiang Huang, Thomas Hain:
Robust Speaker Recognition Using Speech Enhancement And Attention Model. - Shir Gur, Lior Wolf:
Single Image Depth Estimation Trained via Depth from Defocus Cues. - Abeba Birhane, Jelle van Dijk:
Robot Rights? Let's Talk about Human Welfare Instead. - Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison:
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. - Michela Paganini, Jessica Zosa Forde:
On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks. - (Withdrawn) Tight Static Lower Bounds for Non-Adaptive Data Structures.
- José Fragoso Santos, Petar Maksimovic, Sacha-Élie Ayoun, Philippa Gardner:
Gillian: Compositional Symbolic Execution for All. - Yikang Li, Tianshu Yu, Baoxin Li:
Recognizing Video Events with Varying Rhythms. - Hardikkumar Zalavadia, Eduardo Gildin:
Non-Intrusive Parametric Model Order Reduction With Error Correction Modeling for Changing Well Locations Using a Machine Learning Framework. - Jake Gutierrez, Jacob Schrum:
Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda. - Aaron D. Tucker, Markus Anderljung, Allan Dafoe:
Social and Governance Implications of Improved Data Efficiency. - Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang:
Understanding Generalization in Deep Learning via Tensor Methods. - Omri Lifshitz, Lior Wolf:
A Sample Selection Approach for Universal Domain Adaptation. - Oleksii Beznosov, Daniel Appelö:
Hermite-Discontinuous Galerkin Overset Grid Methods for the Scalar Wave Equation. - Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Automated Anonymisation of Visual and Audio Data in Classroom Studies. - Jianyu Niu, Ziyu Wang, Fangyu Gai, Chen Feng:
Incentive Analysis of Bitcoin-NG, Revisited. - Ahmad AlAmmouri, Jeffrey G. Andrews, François Baccelli:
Scaling Laws of Dense Multi-Antenna Cellular Networks. - Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. - Tristan Cazenave:
Monte Carlo Game Solver. - Hatem A. Alharbi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Virtual Machines Placement over Cloud-Fog Network Architecture. - Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae:
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. - Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. - Zhenya Zhang, Paolo Arcaini, Ichiro Hasuo:
Constraining Counterexamples in Hybrid System Falsification: Penalty-Based Approaches. - Lev Tauz, Homa Esfahanizadeh, Lara Dolecek:
Non-Uniform Windowed Decoding For Multi-Dimensional Spatially-Coupled LDPC Codes. - Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning multiview 3D point cloud registration. - Frank Neumann, Andrew M. Sutton:
Parameterized Complexity Analysis of Randomized Search Heuristics. - Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof:
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. - Farzaneh Derakhshan, Frank Pfenning:
Circular Proofs in First-Order Linear Logic with Least and Greatest Fixed Points. - Tong Zhang:
Achievable DoF Regions of Three-User MIMO Broadcast Channel with Delayed CSIT. - Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Parallel Machine Translation with Disentangled Context Transformer. - Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang:
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. - Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun:
Graph-Bert: Only Attention is Needed for Learning Graph Representations. - Satoshi Takabe, Tadashi Wadayama:
Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent. - Christos Tsanikidis, Javad Ghaderi:
On the Power of Randomization for Scheduling Real-Time Traffic in Wireless Networks. - Yao Xie, Melody Chen, David Kao, Ge Gao, Xiang 'Anthony' Chen:
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis. - Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut:
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. - Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi, Sang Woo Kim:
Extending Class Activation Mapping Using Gaussian Receptive Field. - Jiaqi Dong, Runyu Zhang, Chaoshu Yang, Yujuan Tan, Duo Liu:
An Efficient and Wear-Leveling-Aware Frequent-Pattern Mining on Non-Volatile Memory. - Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang:
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. - Giulio Reina, Antonio Leanza, Arcangelo Messina:
Terrain estimation via vehicle vibration measurement and cubature Kalman filtering. - Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
ShapeVis: High-dimensional Data Visualization at Scale. - Hongchao Zhou, Abbas El Gamal:
Network Information Theoretic Security. - Xiong Zhang, Jonathan Engel, Sara Evensen, Yuliang Li, Çagatay Demiralp, Wang-Chiew Tan:
Teddy: A System for Interactive Review Analysis. - Pankaj K. Sharma, Budharam Yogesh, Deepika Gupta:
Internet of Things-Enabled Overlay Satellite-Terrestrial Networks in the Presence of Interference. - Marie Louisa Tølbøll Berthelsen, Kristoffer Arnsfelt Hansen:
On the Computational Complexity of Decision Problems about Multi-Player Nash Equilibria. - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification. - Ondrej Kuzelka, Yuyi Wang:
Domain-Liftability of Relational Marginal Polytopes. - Rabie Hachemi, Ikram Achar, Biasi Wiga, Mahfoud Sidi Ali Mebarek:
Evaluating image matching methods for book cover identification. - Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy:
Everybody's Talkin': Let Me Talk as You Want. - Minghui Song, Yidan Geng, Mingzhu Liu:
Stability equivalence among stochastic differential equations and stochastic differential equations with piecewise continuous arguments and corresponding Euler-Maruyama methods. - Gilad Yehudai, Ohad Shamir:
Learning a Single Neuron with Gradient Methods. - Lior Wolf, Tomer Galanti, Tamir Hazan:
A Formal Approach to Explainability. - Vaishak Belle:
SMT + ILP. - Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
SEERL: Sample Efficient Ensemble Reinforcement Learning. - He Li, Vireshwar Kumar, Jung-Min Park, Yaling Yang:
Cumulative Message Authentication Codes for Resource-Constrained Networks. - Dell Zhang, André Freitas, Dacheng Tao, Dawn Song:
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20). - Shangkun Zhong, Pakpong Chirarattananon:
Direct Visual-Inertial Ego-Motion Estimation via Iterated Extended Kalman Filter. - Irad Peleg, Lior Wolf:
Structured GANs. - Grzegorz Korcyl, Piotr Korcyl:
Optimized implementation of the conjugate gradient algorithm for FPGA-based platforms using the Dirac-Wilson operator as an example. - Alessandro Balestrucci:
How many bots are you following? - Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma:
Extreme Regression for Dynamic Search Advertising. - Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening, John O'Leary:
Learning Concise Models from Long Execution Traces. - Iacovos Ioannou, Vasos Vassiliou, Christophoros Christophorou, Andreas Pitsillides:
Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks. - Jiajing Wu, Jieli Liu, Weili Chen, Huawei Huang, Zibin Zheng, Yan Zhang:
Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs. - Felix Reidl, Blair D. Sullivan:
A color-avoiding approach to subgraph counting in bounded expansion classes. - Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Enhancing CFD predictions in shape design problems by model and parameter space reduction. - Marie-Neige Chapel, Thierry Bouwmans:
Moving Objects Detection with a Moving Camera: A Comprehensive Review. - Dmitry Kosolobov, Oleg Merkurev:
Optimal Skeleton Huffman Trees Revisited. - Yibin Xu, Yangyu Huang:
An n/2 Byzantine node tolerate Blockchain Sharding approach. - Yafei Song, Jia Li, Xiaogang Wang, Xiaowu Chen:
Single Image Dehazing Using Ranking Convolutional Neural Network. - Qianlan Bai, Chao Zhang, Yuedong Xu, Xiaowei Chen, Xin Wang:
Evolution of Ethereum: A Temporal Graph Perspective. - Mafalda Falcao Ferreira, Rui Camacho, Luís Filipe Teixeira:
Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies. - José Miguel Horcas Aguilera, Alejandro Cortiñas, Lidia Fuentes, Miguel R. Luaces:
Integrating the Common Variability Language with Multilanguage Annotations for Web Engineering. - Mari Carmen de Toro, Carlos Borrego:
A Software-Defined Networking approach for congestion control in Opportunistic Networking. - Timothy van Bremen, Ondrej Kuzelka:
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry. - Alexander Schindler, Thomas Lidy, Sebastian Böck:
Deep Learning for MIR Tutorial. - Jon Muhovic, Janez Pers:
Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles. - Mario S. Holubar, Marco A. Wiering:
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO. - Reshef Meir, Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Sybil-Resilient Social Choice with Partial Participation. - Zhenyu Xuan, Rui Bao, Chuyu Ma, Shengyi Jiang:
FGN: Fusion Glyph Network for Chinese Named Entity Recognition. - Maedeh Sharifinejad, Ali Dorri, Javad Rezazadeh:
BIS- A Blockchain-based Solution for the Insurance Industry in Smart Cities. - Alessio Fumagalli, Anna Scotti:
Reactive flow in fractured porous media. - Jo Inge Arnes, Randi Karlsen:
Cloudless Friend-to-Friend Middleware for Smartphones. - Wenchao Xia, Gan Zheng, Kai-Kit Wong, Hongbo Zhu:
Model-Driven Beamforming Neural Networks. - Timothy Patten, Kiru Park, Markus Vincze:
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping. - Françoise Tisseur, Marc Van Barel:
Min-Max Elementwise Backward Error for Roots of Polynomials and a Corresponding Backward Stable Root Finder. - Zhen Liu, Hu Li, Chao Wang:
NEW: A Generic Learning Model for Tie Strength Prediction in Networks. - Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su:
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses. - Andrés Torres Rivera, Juan-Manuel Torres-Moreno:
Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish. - Kashyap Coimbatore Murali:
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses. - Joseph Tassone, Salimur Choudhury:
A Comprehensive Survey on the Ambulance Routing and Location Problems. - Kiran B. Raja, Ramachandra Raghavendra, Sushma Venkatesh, Christoph Busch:
Morton Filters for Superior Template Protection for Iris Recognition. - Joseph Tassone, Geoffrey T. Pond, Salimur Choudhury:
Algorithms for Optimizing Fleet Staging of Air Ambulances. - Michael Ramscar:
The empirical structure of word frequency distributions. - Lawrence M. Murray:
Lazy object copy as a platform for population-based probabilistic programming. - Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah:
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data. - Usman Mohy Ud Din:
Urdu-English Machine Transliteration using Neural Networks. - Chundra Aroor Cathcart:
Dialectal Layers in West Iranian: a Hierarchical Dirichlet Process Approach to Linguistic Relationships. - Sushil Mahavir Varma, Siva Theja Maguluri:
Throughput Optimal Routing in Blockchain Based Payment Systems. - Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
CRC-Aided Belief Propagation List Decoding of Polar Codes. - Guy L. Steele Jr., Sebastiano Vigna:
Computationally easy, spectrally good multipliers for congruential pseudorandom number generators. - Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, Si Si:
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. - Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth:
Learning similarity measures from data. - Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv:
Tensor Graph Convolutional Networks for Text Classification. - Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. - Hemayet Ahmed Chowdhury, Md. Azizul Haque Imon, Anisur Rahman, Aisha Khatun, Md. Saiful Islam:
A Continuous Space Neural Language Model for Bengali Language. - Aisha Khatun, Anisur Rahman, Md. Saiful Islam, Marium-E-Jannat:
Authorship Attribution in Bangla literature using Character-level CNN. - Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. - Dawen Wu:
Faster Regret Matching. - Dhruv Khandelwal, Maarten Schoukens, Roland Tóth:
A Tree Adjoining Grammar Representation for Models Of Stochastic Dynamical Systems. - Benjamin Sliwa, Christian Wietfeld:
A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer. - Camille Roth, Antoine Mazières, Telmo L. T. Menezes:
Tubes & Bubbles - Topological confinement of YouTube recommendations. - Lingyun Zhao, Lin Li, Xinhao Zheng:
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts. - Wenqiang Xiao, Bo Gong, Jiguang Sun, Zhimin Zhang:
A new finite element approach for the Dirichlet eigenvalue problem. - Lukas Holzbaur, Stanislav Kruglik, Alexey A. Frolov, Antonia Wachter-Zeh:
Secrecy and Accessibility in Distributed Storage. - Bo Gong, Jiguang Sun, Tiara Turner, Chunxiong Zheng:
Finite Element Approximation of Transmission Eigenvalues for Anisotropic Media. - Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy:
Causal Discovery from Incomplete Data: A Deep Learning Approach. - Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara:
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. - Kobra Mabodi, Mehdi Yusefi, Shahram Zandiyan, Leili Irankhah, Reza Fotohi:
Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication. - Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury:
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. - Reza Fotohi, Somayyeh Firoozi Bari:
A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms. - Falko Hegerfeld, Stefan Kratsch:
Solving connectivity problems parameterized by treedepth in single-exponential time and polynomial space. - Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting:
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. - Mingi Lim, Sung-Eui Yoon:
A Method for Estimating Reflectance map and Material using Deep Learning with Synthetic Dataset. - Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger:
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings. - Erdem Köse:
Analysis of Genetic Algorithm on Bearings-Only Target Motion Analysis. - Piero A. Bonatti, Luca Ioffredo, Iliana Mineva Petrova, Luigi Sauro, Ida Sri Rejeki Siahaan:
Real Time Reasoning in OWL2 for GDPR Compliance. - Nick Ruest, Jimmy Lin, Ian Milligan, Samantha Fritz:
The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives. - James Timothy Meech, Phillip Stanley-Marbell:
Efficient Programmable Random Variate Generation Accelerator from Sensor Noise. - (Withdrawn) 1-planar graphs with minimum degree at least 3 have bounded girth.
- Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba:
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map. - Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman:
Lipschitz Lifelong Reinforcement Learning. - Joseph M. Lukens, Nicholas Lagakos, Victor Kaybulkin, Christopher J. Vizas, Daniel J. King:
Intensity-Modulated Fiber-Optic Voltage Sensors for Power Distribution Systems. - Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü, Matús Medo:
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data. - Ev Zisselman, Aviv Tamar:
Deep Residual Flow for Novelty Detection. - Jieyu Li, Robert L. Stevenson:
Indoor Layout Estimation by 2D LiDAR and Camera Fusion. - Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko:
Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints. - Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe:
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking. - Jeremy G. Hoskins, Manas Rachh:
On the discretization of Laplace's equation with Neumann boundary conditions on polygonal domains. - Wayne Isaac Tan Uy, Mircea Grigoriu:
Time evolution of the characteristic and probability density function of diffusion processes via neural networks. - Shailja Agrawal, Prasad Krishnan:
Low Complexity Distributed Computing via Binary Matrices with Extension to Stragglers. - Priya Shukla, Hitesh Kumar, Gora Chand Nandi:
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning. - Xupin Zhang, Hanjia Lyu, Jiebo Luo:
What Contributes to a Crowdfunding Campaign's Success? Evidence and Analyses from GoFundMe Data. - Tobias Schoels, Per Rutquist, Luigi Palmieri, Andrea Zanelli, Kai O. Arras, Moritz Diehl:
CIAO$^\star$: MPC-based Safe Motion Planning in Predictable Dynamic Environments. - (Withdrawn) Improvement of an Approximated Self-Improving Sorter and Error Analysis of its Estimated Entropy.
- Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. - Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy:
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss. - Qian Wang, Najla Megherbi, Toby P. Breckon:
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes. - Wael Al Enezi, Clark Verbrugge:
Offline Grid-Based Coverage path planning for guards in games. - Lizhou Wu, Mottaqiallah Taouil, Siddharth Rao, Erik Jan Marinissen, Said Hamdioui:
Survey on STT-MRAM Testing: Failure Mechanisms, Fault Models, and Tests. - Tong Niu, Mohit Bansal:
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. - Subhankar Banerjee, Rajarshi Bhattacharjee, Abhishek Sinha:
Fundamental Limits of Age-of-Information in Stationary and Non-stationary Environments. - Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, Gautam Prasad:
EEV Dataset: Predicting Expressions Evoked by Diverse Videos. - Kancharagunta Kishan Babu, Shiv Ram Dubey:
CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation. - Miriam Enzi, Sophie N. Parragh, David Pisinger, Matthias Prandtstetter:
Modeling and solving the multimodal car- and ride-sharing problem. - Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. - Anant Khandelwal, Niraj Kumar:
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts. - Andrea Valenti, Antonio Carta, Davide Bacciu:
Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. - Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. - Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan:
Noise-tolerant, Reliable Active Classification with Comparison Queries. - Andreas Kamilaris, Nicolò Botteghi:
The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things. - Steffen Börm:
Fast large-scale boundary element algorithms. - Alyssa Donawa, Inema Orukari, Corey E. Baker:
Scaling Blockchains to Support Electronic Health Record Systems for Hospitals. - Karl Erik Holter, Miroslav Kuchta, Kent-André Mardal:
Robust preconditioning of monolithically coupled multiphysics problems. - Karl Erik Holter, Miroslav Kuchta, Kent-André Mardal:
Robust preconditioning for coupled Stokes-Darcy problems with the Darcy problem in primal form. - Anton Dereventsov, Vladimir N. Temlyakov:
Biorthogonal greedy algorithms in convex optimization. - George Deligiannidis, S. Maurer, Michael V. Tretyakov:
Random walk algorithm for the Dirichlet problem for parabolic integro-differential equation. - Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins:
Improving GANs for Speech Enhancement. - Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan:
Insertion-Deletion Transformer. - Assyr Abdulle, Doghonay Arjmand, Edoardo Paganoni:
A parabolic local problem with exponential decay of the resonance error for numerical homogenization. - Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. - Haik Manukian, Yan Ru Pei, Sean R. B. Bearden, Massimiliano Di Ventra:
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines. - Joon-Seok Kim, Carola Wenk:
Simplification of Indoor Space Footprints. - Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos:
Image Segmentation Using Deep Learning: A Survey. - Nimar S. Arora, Nazanin Khosravani Tehrani, Kinjal Divesh Shah, Michael Tingley, Yucen Lily Li, Narjes Torabi, David Noursi, Sepehr Akhavan-Masouleh, Eric Lippert, Erik Meijer:
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods. - Rafael G. L. D'Oliveira, Salim El Rouayheb, Daniel Heinlein, David A. Karpuk:
Notes on Communication and Computation in Secure Distributed Matrix Multiplication. - Jan Brabec, Tomás Komárek, Vojtech Franc, Lukás Machlica:
On Model Evaluation under Non-constant Class Imbalance. - Oliver Urbann, Simon Camphausen, Arne Moos, Ingmar Schwarz, Sören Kerner, Maximilian Otten:
A C Code Generator for Fast Inference and Simple Deployment of Convolutional Neural Networks on Resource Constrained Systems. - Michael Hind, Dennis Wei, Yunfeng Zhang:
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness. - Dou Goodman, Xin Hao, Yang Wang, Yuesheng Wu, Junfeng Xiong, Huan Zhang:
Advbox: a toolbox to generate adversarial examples that fool neural networks. - Yuzhen Ding, Baoxin Li:
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection. - Shiva Geraei, Saeed Hasanpour Aghdam:
Power Cycling Test Bench for Accelerated Life Testing for Reliability Assessment of SiC-MOSFET in Extreme Offshore Environment. - Tobias Emrich, Hans-Peter Kriegel, Andreas Züfle, Peer Kröger, Matthias Renz:
Complete and Sufficient Spatial Domination of Multidimensional Rectangles. - Omer Sabary, Eitan Yaakobi, Alexander Yucovich:
The Error Probability of Maximum-Likelihood Decoding over Two Deletion Channels. - Lars Jaffke, Mateus de Oliveira Oliveira, Hans Raj Tiwary:
Compressing Permutation Groups into Grammars and Polytopes. A Graph Embedding Approach. - Cristóbal A. Navarro, Roberto Carrasco, Ricardo J. Barrientos, Javier A. Riquelme, Raimundo Vega:
GPU Tensor Cores for fast Arithmetic Reductions. - Xiaoshen Song, Giuseppe Caire:
Queue-Aware Beam Scheduling for Half-Duplex mmWave Relay Networks. - Silei Xu, Giovanni Campagna, Jian Li, Monica S. Lam:
Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model. - Takuya Ohashi, Yosuke Ikegami, Yoshihiko Nakamura:
Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild. - Haoran Chen, Jianmin Li, Xiaolin Hu:
Delving Deeper into the Decoder for Video Captioning. - Varun Embar, Sriram Srinivasan, Lise Getoor:
Estimating Aggregate Properties In Relational Networks With Unobserved Data. - Chong Xiao Wang, Yang Song, Wee Peng Tay:
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation. - Yuan Liang, Hsuan-Wei Fan, Zhujun Fang, Leiying Miao, Wen Li, Xuan Zhang, Weibin Sun, Kun Wang, Lei He, Xiang Anthony Chen:
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera. - Toshitaka Hayashi, Hamido Fujita:
Cluster-based Zero-shot learning for multivariate data. - Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath:
Sequential decomposition of graphon mean field games. - Vishal Keshav, Fabien Delattre:
Self-supervised visual feature learning with curriculum. - Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson:
MIME: Mutual Information Minimisation Exploration. - Saeed Amirgholipour, Xiangjian He, Wenjing Jia, Dadong Wang, Lei Liu:
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting. - Jing Li, Dongning Guo:
Continuous-Time Analysis of the Bitcoin and Prism Backbone Protocols. - Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. - Jesse Haviland, Feras Dayoub, Peter Corke:
Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing. - Shivika Narang, Y. Narahari:
A Study of Incentive Compatibility and Stability Issues in Fractional Matchings. - Hongwei Xie, Jiafang Wang, Baitao Shao, Jian Gu, Mingyang Li:
LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices. - Shivika Narang:
Design of Trusted Market Platforms using Permissioned Blockchains and Game Theory. - Diogo Pacheco, Pik-Mai Hui, Christopher Torres-Lugo, Bao Tran Truong, Alessandro Flammini, Filippo Menczer:
Uncovering Coordinated Networks on Social Media. - Li Tao, Xueting Wang, Toshihiko Yamasaki:
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition. - Yeheng Bo, Shuai Li, Peng Zhang, Juan Song, Xinjun Liu:
Generation and application of bursting dynamic behaviour in memristor neurons. - Pegah Jandaghi, Jay Pujara:
Human-like Time Series Summaries via Trend Utility Estimation. - Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns:
Hardware-Conscious Stream Processing: A Survey. - Aviad Elyashar, Sagi Uziel, Abigail Paradise, Rami Puzis:
The Chameleon Attack: Manipulating Content Display in Online Social Media. - Tatsuki Serizawa, Hamido Fujita:
Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization. - Kohei Yamada, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Faster STR-EC-LCS Computation. - Trung Q. Tran:
AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion. - Hsu-Kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg:
Probabilistic 3D Multi-Object Tracking for Autonomous Driving. - Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Mehran Nekuii, Oguz H. Elibol, Hanlin Tang:
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. - Youchuan Hu, Le Yan, Tingting Hang, Jun Feng:
Stream-Flow Forecasting of Small Rivers Based on LSTM. - Chunggi Lee, Sanghoon Kim, Dongyun Han, Hongjun Yang, Youngwoo Park, Bum Chul Kwon, Sungahn Ko:
GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback. - Bohan Zhai, Tianren Gao, Flora Xue, Daniel Rothchild, Bichen Wu, Joseph E. Gonzalez, Kurt Keutzer:
SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis. - Kiet Van Nguyen, Khiem Vinh Tran, Son T. Luu, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen:
A Pilot Study on Multiple Choice Machine Reading Comprehension for Vietnamese Texts. - Jan A. Bergstra, Mark Burgess:
Candidate Software Process Flaws for the Boeing 737 Max MCAS Algorithm and Risks for a Proposed Upgrade. - Tianhao Li, Limin Wang:
Learning Spatiotemporal Features via Video and Text Pair Discrimination. - Chuang-Chieh Lin, Chi-Jen Lu, Po-An Chen:
How Good Is a Two-Party Election Game? - Li Ye, Yishi Lin, Hong Xie, John C. S. Lui:
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. - Linh Kästner, Daniel Dimitrov, Jens Lambrecht:
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data. - Mohamed Abushwereb, Muhannad Mustafa, Mouhammd Al-Kasassbeh, Malik Qasaimeh:
Attack based DoS attack detection using multiple classifier. - Florent Renac:
Entropy stable, positive DGSEM with sharp resolution of material interfaces for a $4\times4$ two-phase flow system: a legacy from three-point schemes. - Sergey Tridenski, Anelia Somekh-Baruch, Ram Zamir:
Proof of Convergence for Correct-Decoding Exponent Computation. - Guangxu Zhu, Yuqing Du, Deniz Gündüz, Kaibin Huang:
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis. - Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra:
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. - Haibo Wang, Zaichen Zhang, Bingcheng Zhu, Jian Dang, Liang Wu, Lei Wang, Kehan Zhang, Yidi Zhang:
Performance of Wireless Optical Communication With Reconfigurable Intelligent Surfaces and Random Obstacles. - Yvonne Mülle, Michael H. Böhlen:
Query Results over Ongoing Databases that Remain Valid as Time Passes By (Extended Version). - Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, Kirill A. Veselkov, Michael M. Bronstein:
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction. - Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper:
Scalable Hyperparameter Optimization with Lazy Gaussian Processes. - Antoine Gourru, Adrien Guille, Julien Velcin, Julien Jacques:
Document Network Projection in Pretrained Word Embedding Space. - Ryuta Arisaka, Takayuki Ito:
Broadening Label-based Argumentation Semantics with May-Must Scales. - Dingyu Yan:
A Systems Thinking for Cybersecurity Modeling. - Andrea Cristofaro, Francesco Ferrante:
Boundary stabilization of systems of high order PDEs arising from flexible robotics. - Deng Yu, Lei Li, Youyi Zheng, Manfred Lau, Yi-Zhe Song, Chiew-Lan Tai, Hongbo Fu:
SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence. - Ali Asadipour, Kurt Debattista, Vinod Patel, Alan Chalmers:
A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education. - Mario Günzel, Jian-Jia Chen:
On Schedulability Analysis of EDF Scheduling by Considering Suspension as Blocking. - Kentaro Wada, Kei Okada, Masayuki Inaba:
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation. - Eden Belouadah, Adrian Popescu:
ScaIL: Classifier Weights Scaling for Class Incremental Learning. - Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data based Ensemble for Imbalanced Big Data Classification. - Eleftherios E. Vlahakis, George Halikias:
Distributed LQR-based observer design for large-scale multi-agent networks. - Keke Ying, Zhen Gao, Shanxiang Lyu, Yongpeng Wu, Hua Wang, Mohamed-Slim Alouini:
GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO. - Peter Kritzer, Friedrich Pillichshammer, Greg W. Wasilkowski:
On Quasi-Monte Carlo Methods in Weighted ANOVA Spaces. - Alexander Katsevich:
Analysis of resolution of tomographic-type reconstruction from discrete data for a class of conormal distributions. - Yichen Zhang, Chen Chen, Guodong Liu, Tianqi Hong, Feng Qiu:
Approximating Trajectory Constraints with Machine Learning - Microgrid Islanding with Frequency Constraints. - Aske Mottelson, Kasper Hornbæk:
Emotional Avatars: The Interplay between Affect and Ownership of a Virtual Body. - Cairong Chen, Dongmei Yu, Deren Han:
Optimal parameter for the SOR-like iteration method for solving the system of absolute value equations. - Mozhgan Bayat, Kai Wan, Mingyue Ji, Giuseppe Caire:
Cache-Aided Modulation for Heterogeneous Coded Caching over a Gaussian Broadcast Channel. - Gerco van Heerdt, Tobias Kappé, Jurriaan Rot, Matteo Sammartino, Alexandra Silva:
A Categorical Framework for Learning Generalised Tree Automata. - Takayuki Nozaki:
Weight Enumerators for Number-Theoretic Codes and Cardinalities of Non-binary VT Codes. - Thomas Gellrich, Clara Sester, Max Okraschevski, Stefan Schwab, Hans-Jörg Bauer, Sören Hohmann:
Dynamic state-space modeling and model-based control design for loop heat pipes. - Lubomír Bulej, Vojtech Horký, Petr Tuma, François Farquet, Aleksandar Prokopec:
Duet Benchmarking: Improving Measurement Accuracy in the Cloud. - Benjamin Matthiss, Arghavan Momenifarahani, Jann Binder:
Storage Placement and Sizing in a Distribution Grid with high PV-Generation. - Shaoming Zheng, Tianyang Zhang, Jiawei Zhuang, Hao Wang, Jiang Liu:
A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation. - Yi Zhang, Chong Wang, Ye Zheng, Jieyu Zhao, Yuqi Li, Xijiong Xie:
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition. - German Ignacio Parisi:
Human Action Recognition and Assessment via Deep Neural Network Self-Organization. - Anandhanarayanan Kamalakannan, Shiva Shankar Ganesan, Govindaraj Rajamanickam:
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification. - David Noever, Wes Regian, Matthew Ciolino, Josh Kalin, Dom Hambrick, Kaye Blankenship:
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures. - Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su:
Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering. - Georgin Jacob, Harish Katti:
Predicting population neural activity in the Algonauts challenge using end-to-end trained Siamese networks and group convolutions. - Mohammad Hadi Kefayati, Vahid Pourahmadi, Hassan Aghaeinia:
Wi2Vi: Generating Video Frames from WiFi CSI Samples. - Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. - Takahiro Suzuki, Shingo Takeshita, Satoshi Ono:
Adversarial Example Generation using Evolutionary Multi-objective Optimization. - Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
An Analytical Workflow for Clustering Forensic Images. - Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng, Shigang Yue:
Does Time-Delay Feedback Matter to Small Target Motion Detection Against Complex Dynamic Environments? - Cansu Sancaktar, Pablo Lanillos:
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action. - Xiao Huang, Dong Xu, Zhenlong Li, Cuizhen Wang:
Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks. - Zohreh Shaghaghian, Wei Yan:
Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset. - Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. - Mingxin Zhao, Li Cheng, Xu Yang, Peng Feng, Liyuan Liu, Nanjian Wu:
TBC-Net: A real-time detector for infrared small target detection using semantic constraint. - Nataliya Le Vine, Claus Horn, Matthew Zeigenfuse, Mark Rowan:
Identifying Table Structure in Documents using Conditional Generative Adversarial Networks. - Jacob J. Decoto, David R. C. Dayton:
Deep Learning Enabled Uncorrelated Space Observation Association. - Siddhartha Vibhu Pharswan, Mohit Vohra, Ashish Kumar, Laxmidhar Behera:
Domain Independent Unsupervised Learning to grasp the Novel Objects. - Ethem F. Can, Aysu Ezen-Can:
The Effect of Data Ordering in Image Classification. - Lukas Finnveden, Ylva Jansson, Tony Lindeberg:
The problems with using STNs to align CNN feature maps. - Ayaka Suzuki, Yoshiro Suzuki:
Deep learning achieves perfect anomaly detection on 108, 308 retinal images including unlearned diseases. - Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyüpoglo, Andreas K. Maier:
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. - Richard Savery, Ryan Rose, Gil Weinberg:
Establishing Human-Robot Trust through Music-Driven Robotic Emotion Prosody and Gesture. - Yiyan Chen, Li Tao, Xueting Wang, Toshihiko Yamasaki:
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning. - Shubham Agarwal, Raghav Goyal:
Ensemble based discriminative models for Visual Dialog Challenge 2018. - Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. - Amir Erfan Eshratifar, Massoud Pedram:
Run-time Deep Model Multiplexing. - Vivian Lai, Han Liu, Chenhao Tan:
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans. - Harshitha Machiraju, Vineeth N. Balasubramanian:
A Little Fog for a Large Turn. - Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu:
Show, Recall, and Tell: Image Captioning with Recall Mechanism. - Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki:
Assessing Robustness of Deep learning Methods in Dermatological Workflow. - Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha, Camilla Hollanti:
Quantum Private Information Retrieval from MDS-coded and Colluding Servers. - Xiangxiang Chu, Xudong Li, Yi Lu, Bo Zhang, Jixiang Li:
MixPath: A Unified Approach for One-shot Neural Architecture Search. - Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri:
Masking schemes for universal marginalisers. - Benjamin Montavon, Martin Peterek, Robert H. Schmitt:
Model-based interfacing of large-scale metrology instruments. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
On the decoding of Barnes-Wall lattices. - Chunyi Wang:
Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion. - Nikoleta E. Glynatsi, Vincent A. Knight:
A meta analysis of tournaments and an evaluation of performance in the Iterated Prisoner's Dilemma. - Gang Bao, Mingming Zhang, Bin Hu, Peijun Li:
An adaptive finite element DtN method for the three-dimensional acoustic scattering problem. - Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna:
Assigning credit to scientific datasets using article citation networks. - Dan Alistarh, Bapi Chatterjee, Vyacheslav Kungurtsev:
Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent. - Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft:
Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Prospective. - Marc Hellmuth, Carsten R. Seemann, Peter F. Stadler:
Generalized Fitch Graphs III: Symmetrized Fitch maps and Sets of Symmetric Binary Relations that are explained by Unrooted Edge-labeled Trees. - Matthias Lenga, Heinrich Schulz, Axel Saalbach:
Continual Learning for Domain Adaptation in Chest X-ray Classification. - Adam Van Etten, Jacob Shermeyer, Daniel Hogan, Nicholas Weir, Ryan Lewis:
Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data. - Hamdi Joudeh, Giuseppe Caire:
Optimality of Treating Inter-Cell Interference as Noise Under Finite Precision CSIT. - Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel:
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy? - Mohammed I. Salman, Bin Wang:
A New Software Framework for Traffic Engineering: Path Cardinality and the Effect of Multipath on Residual Capacity. - Keyvan Ramezanpour, Paul Ampadu, William Diehl:
SCAUL: Power Side-Channel Analysis with Unsupervised Learning. - Patrick Rodler:
On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization. - Jiaju Du, Fanchao Qi, Maosong Sun, Zhiyuan Liu:
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence. - Sagar Joglekar, Daniele Quercia, Miriam Redi, Luca Maria Aiello, Tobias Kauer, Nishanth Sastry:
FaceLift: A transparent deep learning framework to beautify urban scenes. - Karsten Paul, Christopher Zimmermann, Thang X. Duong, Roger Andrew Sauer:
Isogeometric continuity constraints for multi-patch shells governed by fourth-order deformation and phase field models. - Viet Duong, Phu Pham, Ritwik Bose, Jiebo Luo:
#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media. - Bartlomiej Dudek, Pawel Gawrychowski, Tatiana Starikovskaya:
Generalised Pattern Matching Revisited. - Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak:
Reward Shaping for Reinforcement Learning with Omega-Regular Objectives. - Marc Bosch, Joseph Nassar, Benjamin Ortiz, Brendan Lammers, David Lindenbaum, John Wahl, Robert Mangum, Margaret Smith:
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video. - Benjamin Ortiz, David Lindenbaum, Joseph Nassar, Brendan Lammers, John Wahl, Robert Mangum, Margaret Smith, Marc Bosch:
A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning. - Vladimir Vovk:
Cross-conformal e-prediction. - Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. - Wei Hu, Lechao Xiao, Jeffrey Pennington:
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks. - Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Inferring Individual Level Causal Models from Graph-based Relational Time Series. - Mycal Tucker, Yilun Zhou, Julie Shah:
Adversarially Guided Self-Play for Adopting Social Conventions. - Mahdi Bohlouli, Jens Dalter, Mareike Dornhöfer, Johannes Zenkert, Madjid Fathi:
Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT). - Islam Samy, Mohamed Adel Attia, Ravi Tandon, Loukas Lazos:
Latent-variable Private Information Retrieval. - Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez:
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning. - Jan Karel Lenstra, David B. Shmoys:
Elements of Scheduling. - Nicolas Lair, Clément Delgrange, David Mugisha, Jean-Michel Dussoux, Pierre-Yves Oudeyer, Peter Ford Dominey:
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant. - Hengjie Yang, Linfang Wang, Vincent Lau, Richard D. Wesel:
An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes. - Amaael Antonini, Hengjie Yang, Richard D. Wesel:
Low Complexity Algorithms for Transmission of Short Blocks over the BSC with Full Feedback. - Ian Parberry:
Tourneys and the Fast Generation and Obfuscation of Closed Knight's Tours. - Assaf Marron, Lior Limonad, Sarah Pollack, David Harel:
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions. - Fadi Aldakheel, Nima Noii, Thomas Wick, Peter Wriggers:
A global-local approach for hydraulic phase-field fracture in poroelastic media. - Jerzy Konorski, Karol Rydzewski:
Nodal cooperation equilibrium analysis in multihop wireless ad hoc networks with a reputation system. - Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel:
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. - Chen Cai, Yusu Wang:
Understanding the Power of Persistence Pairing via Permutation Test. - Fatih Gökçe:
Tracking of Micro Unmanned Aerial Vehicles: A Comparative Study. - Wenting Wang, Deeksha M. Arya, Nicole Novielli, Jinghui Cheng, Jin L. C. Guo:
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models. - Renato Paes Leme, Balasubramanian Sivan, Yifeng Teng:
Why Do Competitive Markets Converge to First-Price Auctions? - Markus Jakobsson:
Social Engineering Resistant 2FA. - Reza Fotohi, Somayyeh Firoozi Bari, Mehdi Yusefi:
Securing Wireless Sensor Networks Against Denial-of-Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol. - Soheil Mehrabkhani:
Fourier Transform Approach to Machine Learning III: Fourier Classification. - Tobias Kluth, Bangti Jin:
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset. - Yanjun Han:
Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. - Johan Pauwels, György Fazekas, Mark B. Sandler:
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis. - Daniel Steinberg, Alistair Reid, Simon O'Callaghan:
Fairness Measures for Regression via Probabilistic Classification. - Sumit Kumar, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Ankur Agarwal, Benu Madhab Changmai, Sukumar Moharana:
On- Device Information Extraction from Screenshots in form of tags. - Guillaume Bal, Fatma Terzioglu:
Uniqueness criteria in multi-energy CT. - Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan:
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks. - Vansh Narula, Zhangyang Wang, Theodora Chaspari:
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition. - Nikolaos Nikolaou, Joseph C. Mellor, Nikunj C. Oza, Gavin Brown:
Better Boosting with Bandits for Online Learning. - Hussain Al-Aqrabi, Phil Lane, Richard Hill:
Performance Evaluation of Multiparty Authentication in 5G IIoT Environments. - Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
Efficient Bitruss Decomposition for Large-scale Bipartite Graphs. - Jason Kaye, Alex H. Barnett, Leslie Greengard:
A high-order integral equation-based solver for the time-dependent Schrodinger equation. - Gaurav Manek, J. Zico Kolter:
Learning Stable Deep Dynamics Models. - William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter J. Scheirer:
Automatic Discovery of Political Meme Genres with Diverse Appearances. - Tadashi Wadayama, Satoshi Takabe:
Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems. - Anoop Cherian, Jue Wang, Chiori Hori, Tim K. Marks:
Spatio-Temporal Ranked-Attention Networks for Video Captioning. - Bingxin Zhou, Xuebin Zheng, Junbin Gao:
ADAMT: A Stochastic Optimization with Trend Correction Scheme. - Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu:
Graph Inference Learning for Semi-supervised Classification. - Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. - Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, Xiangyang Xue:
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition. - Jihun Han, Mihai Nica, Adam R. Stinchcombe:
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks. - Heyi Li, Yuewei Lin, Klaus Mueller, Wei Xu:
Interpreting Galaxy Deblender GAN from the Discriminator's Perspective. - Hongbin Lin, Chiu-Wai Vincent Hui, Yan Wang, Anton Deguet, Peter Kazanzides, K. W. Samuel Au:
A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces. - Debasis Dwibedy, Rakesh Mohanty:
A New Fairness Model based on User's Objective for Multi-user Multi-processor Online Scheduling. - Alessandro Aldini, Herbert Wiklicky:
Proceedings 16th Workshop on Quantitative Aspects of Programming Languages and Systems, QAPL@ETAPS 2019, Prague, Czech Republic, 7th April 2019. EPTCS 312, 2020 [contents] - Deepak Ponvel Chermakani:
Lower bounds for the maximum number of runners that cause loneliness, and its application to Isolation. - Xiaolin Song, Jingyu Yang, Cuiling Lan, Wenjun Zeng:
FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Semi-supervised Optical Flow Estimation. - Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. - Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius, Etienne Barnard:
DNNs as Layers of Cooperating Classifiers. - Ahmed Abdelsalam, Pier Luigi Ventre, Carmine Scarpitta, Andrea Mayer, Stefano Salsano, Pablo Camarillo, François Clad, Clarence Filsfils:
SRPerf: a Performance Evaluation Framework for IPv6 Segment Routing. - Ana Lilia Laureano-Cruces, Laura Hernández-Domínguez, Martha Mora-Torres, Juan-Manuel Torres-Moreno, Jaime Enrique Cabrera-López:
Visual Simplified Characters' Emotion Emulator Implementing OCC Model. - Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. - Ning Xie, Qiqi Zhang, Ji Hu, Gang Luo, Changsheng Chen:
Low-Cost Anti-Copying 2D Barcode by Exploiting Channel Noise Characteristics. - Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku:
Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System. - Florentin Liebmann, Simon Roner, Marco von Atzigen, Florian Wanivenhaus, Caroline Neuhaus, José Miguel Spirig, Davide Scaramuzza, Reto Sutter, Jess Gerrit Snedeker, Mazda Farshad, Philipp Fürnstahl:
Registration made easy - standalone orthopedic navigation with HoloLens. - Simon Etter:
Incomplete selected inversion for linear-scaling electronic structure calculations. - Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. - Mariam AlAbboudi, Maitha Majed, Fatima Hassan, Ali Bou Nassif:
EEG Wheelchair for People of Determination. - Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. - Jens Pagel, Florian Zuleger:
Strong-Separation Logic. - Linda Senigagliesi, Marco Baldi, Ennio Gambi:
Performance of Statistical and Machine Learning Techniques for Physical Layer Authentication. - Raziyeh Dehbozorghi, Khadijeh Nedaiasl:
Numerical Solution of Nonlinear Abel Integral Equations: An $ hp $-Version Collocation Approach. - Nikita Polyanskii, Ilya Vorobyev:
Duplication with transposition distance to the root for $q$-ary strings. - Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker:
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. - Tomer Raviv, Nir Raviv, Yair Be'ery:
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding. - Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou, Yongming Li:
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection. - Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser:
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant. - Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. - Jungkyu Lee, Taeryun Won, Kiho Hong:
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network. - Rachid Guerraoui, Jovan Komatovic, Dragos-Adrian Seredinschi:
Dynamic Byzantine Reliable Broadcast [Technical Report]. - Agnishom Chattopadhyay, Filip Mazowiecki, Anca Muscholl, Cristian Riveros:
Pumping lemmas for weighted automata. - Peter Beelen, Prasant Singh:
Point-line incidence on Grassmannians and majority logic decoding of Grassmann codes. - Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang:
Review: deep learning on 3D point clouds. - Mohamad Fathi, Stefan Hickel:
Rapid multi-component phase-split calculations using volume functions and reduction methods. - Pieter Delobelle, Thomas Winters, Bettina Berendt:
RobBERT: a Dutch RoBERTa-based Language Model. - Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Predicting the Physical Dynamics of Unseen 3D Objects. - Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, Haibin Ling:
Vision Meets Drones: Past, Present and Future. - Jim Pivarski, Peter Elmer, David Lange:
Awkward Arrays in Python, C++, and Numba. - Antoine Delplace, Sheryl Hermoso, Kristofer Anandita:
Cyber Attack Detection thanks to Machine Learning Algorithms. - Ilan Shomorony, Reinhard Heckel:
DNA-Based Storage: Models and Fundamental Limits. - Assyr Abdulle, Doghonay Arjmand, Edoardo Paganoni:
An elliptic local problem with exponential decay of the resonance error for numerical homogenization. - Samuel E. Hunt, Maximilien Gadouleau:
Grover's Algorithm and Many-Valued Quantum Logic. - Olexandr Polishchuk:
About Three Dimensional Double-Sided Dirichlet and Neumann Boundary Value Problems for the Laplacian. - Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes:
On the Capacity of Private Monomial Computation. - Piero A. Bonatti, Luca Ioffredo, Iliana M. Petrova, Luigi Sauro:
Fast Compliance Checking with General Vocabularies. - Zane Zake, François Chaumette, Nicolò Pedemonte, Stéphane Caro:
Robust 2 1/2D Visual Servoing of a Cable-Driven Parallel Robot Thanks to Trajectory Tracking. - Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. - Hatem A. Alharbi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Cloud-Fog Architecture. - Alberto Cavallo, Giacomo Canciello, Antonio Russo:
Integrated Supervised Adaptive Control for the More Electric Aircraft. - Henrique Siqueira, Sven Magg, Stefan Wermter:
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks. - Stefan A. Funken, Anja Schmidt:
A Coarsening Algorithm on Adaptive Red-Green-Blue Refined Meshes. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Tethered Aerial Visual Assistance. - Louis Parlant, Jurriaan Rot, Alexandra Silva, Bas Westerbaan:
Preservation of Equations by Monoidal Monads. - Maíra Gatti de Bayser, Melina Alberio Guerra, Paulo R. Cavalin, Claudio S. Pinhanez:
A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups. - Georgios S. Paschos, Apostolos Destounis, George Iosifidis:
Online Convex Optimization for Caching Networks. - Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. - Mehmet Giyas Sakar, Onur Saldir:
A new reproducing kernel approach for nonlinear fractional three-point boundary value problems. - Martin Grohe, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Peter Lindner:
Generative Datalog with Continuous Distributions. - Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. - Nicholas Gerard Timmons, Andrew Rice:
Approximating Activation Functions. - (Withdrawn) BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding.
- Krzysztof Lakomy, Radoslaw Patelski, Dariusz Pazderski:
ESO architectures in the trajectory tracking ADR controller for a mechanical system: a comparison. - Iker García-Ferrero, Rodrigo Agerri, German Rigau:
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings. - Mikhail Hushchyn, Andrey Ustyuzhanin:
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation. - Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Bowen Shi, Qi Tian, Hongkai Xiong:
Latency-Aware Differentiable Neural Architecture Search. - Yanpei Shi, Thomas Hain:
Supervised Speaker Embedding De-Mixing in Two-Speaker Environment. - Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Robust Generalization via $α$-Mutual Information. - Aggelos Kiayias, Saad Quader, Alexander Russell:
Consistency of Proof-of-Stake Blockchains with Concurrent Honest Slot Leaders. - Jhony H. Giraldo, Thierry Bouwmans:
GraphBGS: Background Subtraction via Recovery of Graph Signals. - Sean Cleary, Roland Maio:
Counting difficult tree pairs with respect to the rotation distance problem. - Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe:
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. - Maurizio Aiello, Enrico Cambiaso, Roberto Canonico, Leonardo Maccari, Marco Mellia, Antonio Pescapè, Ivan Vaccari:
IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing. - Sean Cleary, Roland Maio:
An efficient sampling algorithm for difficult tree pairs. - Arjun Srinivasan, Bongshin Lee, Nathalie Henry Riche, Steven Mark Drucker, Ken Hinckley:
InChorus: Designing Consistent Multimodal Interactions for Data Visualization on Tablet Devices. - Maleknaz Nayebi:
Eye of the Mind: Image Processing for Social Coding. - Lele Chen, Justin Tian, Guo Li, Cheng-Haw Wu, Erh-Kan King, Kuan-Ting Chen, Shao-Hang Hsieh, Chenliang Xu:
TailorGAN: Making User-Defined Fashion Designs. - André C. Silva:
On Visibility Graphs of Convex Fans and Terrains. - Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio, Aurelio La Corte, Pietro Liò, Sajal K. Das:
A Novel Methodology for designing Policies in Mobile Crowdsensing Systems. - Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Combining PRNU and noiseprint for robust and efficient device source identification. - Hongyu Jin, Panos Papadimitratos:
Scaling VANET Security Through Cooperative Message Verification. - Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother:
Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. - Jingxuan Huang, Zesong Fei, Congzhe Cao, Ming Xiao:
Design and Analysis of Online Fountain Codes for Intermediate Performance. - Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, Falk Schreiber:
A Study of Mental Maps in Immersive Network Visualization. - Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gökhan Tür:
Plato Dialogue System: A Flexible Conversational AI Research Platform. - Serhan Gül, Dimitri Podborski, Thomas Buchholz, Thomas Schierl, Cornelius Hellge:
Low Latency Volumetric Video Edge Cloud Streaming. - Goran Nakerst, John Brennan, Masudul Haque:
Gradient descent with momentum - to accelerate or to super-accelerate? - Mattia Halter, Laura Bégon-Lours, Valeria Bragaglia, Marilyne Sousa, Bert Jan Offrein, Stefan Abel, Mathieu Luisier, Jean Fompeyrine:
A back-end, CMOS compatible ferroelectric Field Effect Transistor for synaptic weights. - Ashkan Vakil, Farnaz Behnia, Ali Mirzaeian, Houman Homayoun, Naghmeh Karimi, Avesta Sasan:
LASCA: Learning Assisted Side Channel Delay Analysis for Hardware Trojan Detection. - Seyed Shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi, Yang Wang:
Unsupervised Learning of Camera Pose with Compositional Re-estimation. - Boris Ndjia Njike, Xavier Siebert:
K-NN active learning under local smoothness assumption. - Yunlong Lu, Kai Yan:
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory. - Hao Shao, Shengju Qian, Yu Liu:
Temporal Interlacing Network. - Mohammadamin Baniasadi, Ertem Tuncel:
Robust Gaussian Joint Source-Channel Coding Under the Near-Zero Bandwidth Regime. - Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. - Iztok Fister Jr., Suash Deb, Iztok Fister:
Population-based metaheuristics for Association Rule Text Mining. - Chien-Ying Chen, Sibin Mohan, Rodolfo Pellizzoni, Rakesh B. Bobba:
On Scheduler Side-Channels in Dynamic-Priority Real-Time Systems. - Haydn Belfield:
Activism by the AI Community: Analysing Recent Achievements and Future Prospects. - S. Cliff Liu:
Simpler Partial Derandomization of PPSZ for $k$-SAT. - Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori:
Adapting Grad-CAM for Embedding Networks. - Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya, Yu Ding:
Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection. - Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati:
Siamese Graph Neural Networks for Data Integration. - Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. - Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, Kristina Lerman:
Predictability limit of partially observed systems. - Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Lower density selection schemes via small universal hitting sets with short remaining path length. - Heinrich Hartmann, Theo Schlossnagle:
Circllhist - A Log-Linear Histogram Data Structure for IT Infrastructure Monitoring. - Diganta Bhattacharjee, Kamesh Subbarao:
Set Membership Filter for Discrete-Time Nonlinear Systems Using State Dependent Coefficient Parameterization. - Luisa Verdoliva:
Media Forensics and DeepFakes: an overview. - Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot:
Harmonic Convolutional Networks based on Discrete Cosine Transform. - Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu:
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network. - Catherine Angelini, Adam S. Williams, Mathew Kress, Edgar Ramos Vieira, Newton D'Souza, Naphtali David Rishe, Joseph Medina, Francisco R. Ortega:
City Planning with Augmented Reality. - Drew Johnston, Jarret Flack, Indrakshi Ray, Francisco R. Ortega:
Towards a Virtual Reality Home IoT Network Visualizer. - Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu:
Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing. - Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-time Bidding. - Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi:
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks. - Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao:
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video. - Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve:
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. - Abbas Khalili, Shahram Shahsavari, Mohammad Amir Khojastepour, Elza Erkip:
On Optimal Multi-user Beam Alignment in Millimeter Wave Wireless Systems. - Sohini Roy, Harish Chandrasekaran, Anamitra Pal, Arunabha Sen:
A New Model to Analyze Power and Communication System Intra-and-Inter Dependencies. - Pedro D. Marrero-Fernández, Ing Ren Tsang, Ing-Jyh Tsang, Fidel A. Guerrero-Peña, Alexandre Cunha:
Deep Metric Structured Learning For Facial Expression Recognition. - Mitchell Burger:
The Risk to Population Health Equity Posed by Automated Decision Systems: A Narrative Review. - Stjepan Gros:
Research Directions in Cyber Threat Intelligence. - Shinya Miyajima:
Verified computation of matrix gamma function. - Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin:
Adaptive Parameterization for Neural Dialogue Generation. - Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How:
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. - Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Capturing Evolution in Word Usage: Just Add More Clusters? - Xinxun Zeng, Shiqi Zhang, Bo Tang:
RCELF: A Residual-based Approach for Influence Maximization Problem. - Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. - Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler:
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. - Andreas Lenz, Nikita Polyanskii:
Optimal Codes Correcting a Burst of Deletions of Variable Length. - Felix Dobslaw, Francisco Gomes de Oliveira Neto, Robert Feldt:
Boundary Value Exploration for Software Analysis. - Seyed Mohammad Razavizadeh, Tommy Svensson:
3D Beamforming in Reconfigurable Intelligent Surfaces-assisted Wireless Communication Networks. - Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy:
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. - Tehseen Zia, Shahan Arif, Shakeeb Murtaza, Mirza Ahsan Ullah:
Text-to-Image Generation with Attention Based Recurrent Neural Networks. - Min Li, Zhenglong Zhou, Zhe Wu, Boxin Shi, Changyu Diao, Ping Tan:
Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials. - Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu:
Deep Collaborative Embedding for information cascade prediction. - Douglas S. Blank:
Learning to See Analogies: A Connectionist Exploration. - Pietro Falco, Shuang Lu, Ciro Natale, Salvatore Pirozzi, Dongheui Lee:
A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration. - Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice:
Ranking Significant Discrepancies in Clinical Reports. - Oliver Karras, Kurt Schneider:
An Interdisciplinary Guideline for the Production of Videos and Vision Videos by Software Professionals. - Michal Wrona:
Relational Width of First-Order Expansions of Homogeneous Graphs with Bounded Strict Width. - Jie Wu, Guanbin Li, Si Liu, Liang Lin:
Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video. - Gabriele Costa, Enrico Russo, Alessandro Armando:
Automating the Generation of Cyber Range Virtual Scenarios with VSDL. - Amy X. Zhang, Michael J. Muller, Dakuo Wang:
How do Data Science Workers Collaborate? Roles, Workflows, and Tools. - Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao:
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. - Christian Kästner, Eunsuk Kang:
Teaching Software Engineering for AI-Enabled Systems. - Karan Dabas, Nishtha Madaan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty:
Fair Transfer of Multiple Style Attributes in Text. - María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry. - María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. - Adnan Rashid, Ayesha Gauhar, Osman Hasan:
FASiM: A Framework for Automatic Formal Analysis of Simulink Models of Linear Analog Circuits. - Cihan Emre Kement:
Load Shaping Based Privacy Protection in Smart Grids: An Overview. - Yangdi Lyu, Prabhat Mishra:
System-on-Chip Security Assertions. - Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo:
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. - Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail:
True Nonlinear Dynamics from Incomplete Networks. - Nimisha Limaye, Ozgur Sinanoglu:
DynUnlock: Unlocking Scan Chains Obfuscated using Dynamic Keys. - Juan Carlos Vargas, Lazar Andjelic, Amir Barati Farimani:
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods. - Zhihui Shao, Mohammad A. Islam, Shaolei Ren:
Your Noise, My Signal: Exploiting Switching Noise for Stealthy Data Exfiltration from Desktop Computers. - Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
AI Data Wrangling with Associative Arrays. - Anahita Sanandaji, Cindy Grimm, Ruth West, Christopher A. Sanchez:
Developing and Validating an Interactive Training Tool for Inferring 2D Cross-Sections of Complex 3D Structures. - Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation. - Kaiyu Shan, Yongtao Wang, Zhuoying Wang, Tingting Liang, Zhi Tang, Ying Chen, Yangyan Li:
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion. - Yueji Yang, Anthony K. H. Tung:
Efficient Radial Pattern Keyword Search on Knowledge Graphs in Parallel. - Hamzeh Davarikia, Faycal Znidi, Masoud Barati:
Constraint Clustering Based Islanding Scheme For Power Networks. - Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu:
Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants. - Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. - Mengqian Zhang, Jichen Li, Zhaohua Chen, Hongyin Chen, Xiaotie Deng:
CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding. - Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang:
Predict and Match: Prophet Inequalities with Uncertain Supply. - Quan Xiao, Canhong Wen, Zirui Yan:
Image denoising via K-SVD with primal-dual active set algorithm. - Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran:
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. - Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn:
Gradient Surgery for Multi-Task Learning. - Shweta Jain, C. Seshadhri:
The Power of Pivoting for Exact Clique Counting. - Marcello Federico, Robert Enyedi, Roberto Barra-Chicote, Ritwik Giri, Umut Isik, Arvindh Krishnaswamy:
From Speech-to-Speech Translation to Automatic Dubbing. - Matthew Cockcroft, Shahil Mawjee, Steven James, Pravesh Ranchod:
Learning Options from Demonstration using Skill Segmentation. - Jonas Oppenlaender, Kristy Milland, Aku Visuri, Panos Ipeirotis, Simo Hosio:
Creativity on Paid Crowdsourcing Platforms. - Sichao Tong, Ting Yue, Zhesi Shen, Liying Yang:
The effect of national and international multiple affiliations on citation impact. - Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao:
Learning Compositional Neural Information Fusion for Human Parsing. - Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. - Daichi Nishio, Daiki Kuyoshi, Toi Tsuneda, Satoshi Yamane:
Discriminator Soft Actor Critic without Extrinsic Rewards. - Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. - Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang:
GTNet: Generative Transfer Network for Zero-Shot Object Detection. - Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh:
Distributionally Robust Bayesian Quadrature Optimization. - Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao:
Human-Aware Motion Deblurring. - Qichuan Geng, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Zhong Zhou, Gao Huang:
Gated Path Selection Network for Semantic Segmentation. - Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Deep Semantic Face Deblurring. - David Morris, Eric Müller-Budack, Ralph Ewerth:
SlideImages: A Dataset for Educational Image Classification. - Charalambos D. Charalambous, Jan H. van Schuppen:
Characterization of Conditional Independence and Weak Realizations of Multivariate Gaussian Random Variables: Applications to Networks. - Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong:
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement. - Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Bo Wahlberg:
Optimization-Based On-Road Path Planning for Articulated Vehicles. - Yucheng Liu, Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo:
Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding. - Jaya Prakash Champati, Ramana R. Avula, Tobias J. Oechtering, James Gross:
On the Minimum Achievable Age of Information for General Service-Time Distributions. - Janine C. Mergel, Julien Scheibert, Roger A. Sauer:
Contact with coupled adhesion and friction: Computational framework, applications, and new insights. - Junjie Yan, Ruosi Wan, Xiangyu Zhang, Wei Zhang, Yichen Wei, Jian Sun:
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization. - Sungjin Im, Benjamin Moseley, Kamesh Munagala, Kirk Pruhs:
Dynamic Weighted Fairness with Minimal Disruptions. - Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang:
SQLFlow: A Bridge between SQL and Machine Learning. - Waixiang Cao, Chunmei Wang:
New Primal-Dual Weak Galerkin Finite Element Methods for Convection-Diffusion Problems. - Yulin Hu, Guodong Sun, Guohua Zhang, Mustafa Cenk Gursoy, Anke Schmeink:
Optimal Resource Allocation in Ground Wireless Networks Supporting Unmanned Aerial Vehicle Transmissions. - Stepan L. Kuznetsov, Stanislav O. Speranski:
Infinitary Action Logic with Exponentiation. - Veli Mäkinen, Kristoffer Sahlin:
Chaining with overlaps revisited. - Christophe Crespelle, Pål Grønås Drange, Fedor V. Fomin, Petr A. Golovach:
A survey of parameterized algorithms and the complexity of edge modification. - Javier Civera, Seong Hun Lee:
RGB-D Odometry and SLAM. - Wayes Tushar, Tapan Kumar Saha, Chau Yuen, David B. Smith, H. Vincent Poor:
Peer-to-Peer Trading in Electricity Networks: An Overview. - Sansit Patnaik, Sai Sidhardh, Fabio Semperlotti:
A Ritz-based Finite Element Method for a Fractional-Order Boundary Value Problem of Nonlocal Elasticity. - Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Cina Motamed:
A multimodal deep learning approach for named entity recognition from social media. - Thiago C. Silva, Diego R. Amancio, Benjamin Miranda Tabak:
Modeling Economic Networks with Firm-to-Firm Wire Transfers. - Zhu Zhang, Zhou Zhao, Yang Zhao, Qi Wang, Huasheng Liu, Lianli Gao:
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences. - Mounir Bensalem, Jasenka Dizdarevic, Admela Jukan:
Modeling of Deep Neural Network (DNN) Placement and Inference in Edge Computing. - Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning. - Vladimir Zamdzhiev:
Semantics for first-order affine inductive data types via slice categories. - Monika Di Angelo, Gernot Salzer:
Wallet Contracts on Ethereum. - Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani:
Common Conversational Community Prototype: Scholarly Conversational Assistant. - Stefano Coniglio, Anthony J. Dunn, Alain B. Zemkoho:
Infrequent adverse event prediction in low carbon energy production using machine learning. - Jiaoyan Chen, Xi Chen, Ian Horrocks, Ernesto Jiménez-Ruiz, Erik B. Myklebust:
Correcting Knowledge Base Assertions. - Hongyu Jin, Panos Papadimitratos:
DoS-resilient Cooperative Beacon Verification for Vehicular Communication Systems. - (Withdrawn) A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions.
- Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar:
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. - Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie:
Memristor Hardware-Friendly Reinforcement Learning. - Ke Li, Don Towsley, Dennis Goeckel:
Covert Communication in Continuous-Time Systems. - Sujaya Maiyya, Danny Hyun Bum Cho, Divyakant Agrawal, Amr El Abbadi:
Fides: Managing Data on Untrusted Infrastructure. - Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices. - Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. - Roman Vershynin:
Memory capacity of neural networks with threshold and ReLU activations. - Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos:
Reinforcement Learning with Probabilistically Complete Exploration. - Alessandro Aldini:
Quantitative Aspects of Programming Languages and Systems over the past $2^4$ years and beyond. 1-19 - Maja Hanne Kirkeby:
Probabilistic Output Analyses for Deterministic Programs - Reusing Existing Non-probabilistic Analyses. 43-57 - Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. - Dany Kamuhanda, Meng Wang, Kun He:
Sparse Nonnegative Matrix Factorization for Multiple Local Community Detection. - Xiaokang Qiu:
Streaming Transformations of Infinite Ordered-Data Words. - Sanjeev Gurugopinath, Sami Muhaidat, Yousof Al-Hammadi, Paschalis C. Sofotasios, Octavia A. Dobre:
Non-Orthogonal Multiple Access with Wireless Caching for 5G-Enabled Vehicular Networks. - Farhad Shirani, Siddharth Garg, Elza Erkip:
On the Joint Typicality of Permutations of Sequences of Random Variables. - Saad Bin Sami, Abdul Muqeet, Humera Tariq:
A Novel Image Dehazing and Assessment Method. - Chao Zhang, Xuequan Lu, Katsuya Hotta, Xi Yang:
G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data. - Subhayan Mukherjee, Ram Mohana Reddy Guddeti:
A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision. - Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao:
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing. - Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal:
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. - Bin Li, Dong Hao, Dengji Zhao:
Incentive-Compatible Diffusion Auctions. - Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo:
MOEA/D with Random Partial Update Strategy. - Subhayan Mukherjee, Guan-Ming Su, Irene Cheng:
Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image. - Yasuho Yamashita, Takuma Shibahara, Junichi Kuwata:
A point-wise linear model reveals reasons for 30-day readmission of heart failure patients. - Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker:
The Parallelism Motifs of Genomic Data Analysis. - Yibin Xu, Yangyu Huang:
Contract-connection: An efficient communication protocol for Distributed Ledger Technology. - Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators for Demand Varying Wireless Networks. - Andrea Natale, Gabriele Todeschi:
TPFA Finite Volume Approximation of Wasserstein Gradient Flows. - Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram:
Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. - Felix Happach, Andreas S. Schulz:
Approximation Algorithms and LP Relaxations for Scheduling Problems Related to Min-Sum Set Cover. - Doriane Perard, Lucas Gicquel, Jérôme Lacan:
BlockHouse: Blockchain-based Distributed Storehouse System. - Wentu Song, Kui Cai, Long Shi:
Coded Caching with Polynomial Subpacketization. - Abdullah Al-Mamun, Dongfang Zhao:
BAASH: Enabling Blockchain-as-a-Service on High-Performance Computing Systems. - Yibin Xu, Yangyu Huang:
Segment blockchain: A size reduced storage mechanism for blockchain. - Anubhab Banerjee, Stephen S. Mwanje, Georg Carle:
On the Necessity and Design of Coordination Mechanism for Cognitive Autonomous Networks. - Ana Freire, Lorenzo Porcaro, Emilia Gómez:
Measuring Diversity of Artificial Intelligence Conferences. - Hiroki Tamaru, Shinnosuke Takamichi, Naoko Tanji, Hiroshi Saruwatari:
JVS-MuSiC: Japanese multispeaker singing-voice corpus. - Javier Picorel, Seyed Alireza Sanaee Kohroudi, Zi Yan, Abhishek Bhattacharjee, Babak Falsafi, Djordje Jevdjic:
SPARTA: A Divide and Conquer Approach to Address Translation for Accelerators. - Yonatan Yehezkeally, Moshe Schwartz:
Uncertainty of Reconstructing Multiple Messages from Uniform-Tandem-Duplication Noise. - Lukas Holzbaur, Camilla Hollanti, Antonia Wachter-Zeh:
Computational Code-Based Single-Server Private Information Retrieval. - Aritra Mitra, Faiq Ghawash, Shreyas Sundaram, Waseem Abbas:
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation. - Adrien Kaiser, José Alonso Ybáñez Zepeda, Tamy Boubekeur:
Plane Pair Matching for Efficient 3D View Registration. - Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models. - Debasis Dwibedy, Rakesh Mohanty:
A 2-Competitive Largest Job on Least Loaded Machine Online Algorithm based on Multi Lists Scheduling Model. - Jean-Marie Madiot, Damien Pous, Davide Sangiorgi:
Modular coinduction up-to for higher-order languages via first-order transition systems. - Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng:
Projection based Active Gaussian Process Regression for Pareto Front Modeling. - Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci:
Quantum-like Structure in Multidimensional Relevance Judgements. - Tao Chen, Rami Bahsoon, Xin Yao:
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline. - Ahmad Yousef Alhilal, Tristan Braud, Pan Hui:
Distributed Vehicular Computing at the Dawn of 5G: a Survey. - Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen:
2PS: High-Quality Edge Partitioning with Two-Phase Streaming. - Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Multiplication fusion of sparse and collaborative-competitive representation for image classification. - Md. Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Mohammad Ashraful Hoque, Alan Colman:
Blockchain Consensuses Algorithms: A Survey. - Zhen-Liang Ni, Gui-Bin Bian, Guan'an Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang:
BARNet: Bilinear Attention Network with Adaptive Receptive Field for Surgical Instrument Segmentation. - Carlos-Emiliano González-Gallardo, Romain Deveaud, Eric SanJuan, Juan-Manuel Torres:
Audio Summarization with Audio Features and Probability Distribution Divergence. - Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. - Claude Tadonki:
OpenMP Parallelization of Dynamic Programming and Greedy Algorithms. - Lorenz Braun, Sotirios Nikas, Chen Song, Vincent Heuveline, Holger Fröning:
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels. - Astrid S. Pechstein, Martin Meindlhumer, Alexander Humer:
High-order mixed finite elements for an energy-based model of the polarization process in ferroelectric materials. - Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan:
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification. - Ryan Carey, Eric D. Langlois, Tom Everitt, Shane Legg:
The Incentives that Shape Behaviour. - Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao, Daniel Dajun Zeng:
An interpretable neural network model through piecewise linear approximation. - Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Stanislav Abukhovich, Toshihisa Tanaka:
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD). - Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy:
Checking Smart Contracts with Structural Code Embedding. - Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz:
High-Quality Hierarchical Process Mapping. - Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse with Reduced Kernel Mean Embedding Specification. - Simiao Jiao, Zihui Xue, Xiaowei Chen, Yuedong Xu:
Sampling Graphlets of Multi-layer Networks: A Restricted Random Walk Approach. - Diana F. Sousa, Francisco M. Couto:
BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction. - Bastien Maubert, Aniello Murano, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri:
Dynamic Epistemic Logic Games with Epistemic Temporal Goals. - Diogo Rato, Samuel Mascarenhas, Rui Prada:
Towards Social Identity in Socio-Cognitive Agents. - Jonathan Lawry, Michael Crosscombe, David Harvey:
Distributed Possibilistic Learning in Multi-Agent Systems. - Sergey P. Shary, Behnam Moradi:
Solving interval linear least squares problems by PPS-methods. - Mahdi Shakiba-Herfeh, Arsenia Chorti, H. Vincent Poor:
Physical Layer Security: Authentication, Integrity and Confidentiality. - Vladimir B. Berikov:
Heterogeneous Transfer Learning in Ensemble Clustering. - Matt Wixey, Shane D. Johnson, Emiliano De Cristofaro:
On the Feasibility of Acoustic Attacks Using Commodity Smart Devices. - Suhas Thejaswi, Aristides Gionis:
Finding temporal patterns using algebraic fingerprints. - Miroslav Mitev, Arsenia Chorti, Martin J. Reed, Leila Musavian:
Authenticated Secret Key Generation in Delay Constrained Wireless Systems. - Tobias Meuser, Oluwasegun Taiwo Ojo, Daniel Bischoff, Antonio Fernández Anta, Ioannis Stavrakakis, Ralf Steinmetz:
Hide Me: Enabling Location Privacy in Heterogeneous Vehicular Networks. - Jaspreet Kaur:
A Secure and Smart Framework for Preventing Ransomware Attack. - Antonella Zanna:
Discrete Variational Methods and Symplectic Generalized Additive Runge-Kutta Methods. - Tobias Köppl, Ettore Vidotto, Barbara I. Wohlmuth:
A 3D-1D coupled blood flow and oxygen transport model to generate microvascular networks. - Zitan Chen, Min Ye, Alexander Barg:
Enabling optimal access and error correction for the repair of Reed-Solomon codes. - Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang:
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. - Paulo José Fernandes Almeida, Umberto Martínez-Peñas, Diego Napp:
Systematic Maximum Sum Rank Codes. - Robert Cochrane:
Nuclear Norm Under Tensor Kronecker Products. - Zhiyu Liu, Meng Jiang, Hai Lin:
A graph-based spatial temporal logic for knowledge representation and automated reasoning in cognitive robots. - Jing Yi Xie, Renato Ferreira Pinto Jr., Graeme Hirst, Yang Xu:
Text-based inference of moral sentiment change. - Mohit Srinivasan, Matthew Abate, Gustav Nilsson, Samuel Coogan:
Extent-Compatible Control Barrier Functions. - Burak Hasircioglu, Jesús Gómez-Vilardebó, Deniz Gündüz:
Bivariate Polynomial Coding for Exploiting Stragglers in Heterogeneous Coded Computing Systems. - Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh, Richard M. Murray:
Counter-example Guided Learning of Bounds on Environment Behavior. - Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu:
Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching. - Ajmal Khan, Adnan Munir, Zeeshan Kaleem, Farman Ullah, Muhammad Bilal, Lewis Nkenyereye, Shahen Shah, Long Dinh Nguyen, S. M. Riazul Islam, Kyung-Sup Kwak:
RDSP: Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management. - Aman Gajendra Jain, Nicolas Saunier:
Autocamera Calibration for traffic surveillance cameras with wide angle lenses. - Aleksei Ustimenko, Liudmila Prokhorenkova:
SGLB: Stochastic Gradient Langevin Boosting. - Tsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen, Vassileios Balntas:
UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision. - Jane Wu, Yongxu Jin, Zhenglin Geng, Hui Zhou, Ronald Fedkiw:
Recovering Geometric Information with Learned Texture Perturbations. - Andrew Mackey, Petros Spachos, Konstantinos N. Plataniotis:
Smart Parking System Based on Bluetooth Low Energy Beacons with Particle Filtering. - Yong Yang, Long Wang, Jing Gu, Ying Li:
Transparently Capturing Request Execution Path for Anomaly Detection. - Arturo Berrones-Santos:
Mixed integer programming formulation of unsupervised learning. - Theodoros Pantelidis, Li Li, Tai-Yu Ma, Joseph Y. J. Chow, Saif Eddin Jabari:
Node-charge graph-based online carshare rebalancing with capacitated electric charging. - Oscar Cornejo, Daniela Briola, Daniela Micucci, Leonardo Mariani:
In-The-Field Monitoring of Functional Calls: Is It Feasible? - Santiago Badia, Alberto F. Martín, Hieu Nguyen:
Balancing domain decomposition by constraints associated with subobjects. - Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison:
AutoMATES: Automated Model Assembly from Text, Equations, and Software. - Yucheng Liu, Parastoo Sadeghi, Neda Aboutorab, Arman Sharififar:
Secure Index Coding with Security Constraints on Receivers. - Deepak Puthal, Saraju P. Mohanty, Venkata P. Yanambaka, Elias Kougianos:
PoAh: A Novel Consensus Algorithm for Fast Scalable Private Blockchain for Large-scale IoT Frameworks. - Jascha Sohl-Dickstein, Roman Novak, Samuel S. Schoenholz, Jaehoon Lee:
On the infinite width limit of neural networks with a standard parameterization. - Hao Xu, Haibin Chang, Dongxiao Zhang:
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. - Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng:
Understanding Electricity-Theft Behavior via Multi-Source Data. - Chuyu Xiong:
Sampling and Learning for Boolean Function. - Dongyun Liang, Guohua Wang, Jing Nie, Binxu Zhai, Xiusen Gu:
A Hierarchical Location Normalization System for Text. - Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Neural Style Difference Transfer and Its Application to Font Generation. - Ning Yuan, Xiao-Jun Wu, He-Feng Yin:
Face Verification via learning the kernel matrix. - Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, Yuji Matsumoto:
Length-controllable Abstractive Summarization by Guiding with Summary Prototype. - Lalhruaizela Chhangte, Emanuele Viterbo, D. Manjunath, Nikhil Karamchandani:
Online Caching and Coding at the WiFi Edge: Gains and Tradeoffs. - Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang:
Enabling Panoramic Full-Angle Reflection via Aerial Intelligent Reflecting Surface. - Rajath S, Sumukh K. Aithal, Natarajan Subramanyam:
Transfer Learning using Neural Ordinary Differential Equations. - Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov:
Lyceum: An efficient and scalable ecosystem for robot learning. - Honglong Cai, Yuedong Fang, Zhiguan Wang, Tingchun Yeh, Jinxing Cheng:
VMRFANet: View-Specific Multi-Receptive Field Attention Network for Person Re-identification. - Amardeep Mishra, Satadal Ghosh:
$\text{H}_{\infty}$ Tracking Control via Variable Gain Gradient Descent-Based Integral Reinforcement Learning for Unknown Continuous Time Nonlinear System. - Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal:
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. - Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. - Yan Li, Minghua Xia, Sonia Aïssa:
Coordinated Multi-Point Transmission: A Poisson-Delaunay Triangulation Based Approach. - Mohammad Khajenejad, Sze Zheng Yong:
Simultaneous input and state set-valued \mathcal{H}_{\infty}-observers for linear parameter-varying systems. - Andrea Vigliotti, Ferdinando Auricchio:
Automatic differentiation for solid mechanics. - Mohammad Khajenejad, Sze Zheng Yong:
Simultaneous Mode, Input and State Set-Valued Observers with Applications to Resilient Estimation Against Sparse Attacks. - Franck Delaplace, Sergiu Ivanov:
Bisimilar Conversion of Multi-valued Networks to Boolean Networks. - Ying Shen, Armelle Jacquet-Andrieu, Joël Colloc:
A multi-agent ontologies-based clinical decision support system. - Jinlong Liu, Guoqing Jiang, Yunzhi Bai, Ting Chen, Huayan Wang:
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters. - Florian Bridoux, Caroline Gaze-Maillot, Kévin Perrot, Sylvain Sené:
Complexity of limit-cycle problems in Boolean networks. - Yuhua Sun, Tongjiang Yan:
The 2-adic complexity of Yu-Gong sequences with interleaved structure and optimal autocorrelation magnitude. - Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger:
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection. - Hannes Thaller, Lukas Linsbauer, Alexander Egyed:
Towards Semantic Clone Detection via Probabilistic Software Modeling. - Jing Yang, Chee K. Yap:
On mu-Symmetric Polynomials. - Zekun Zhu, Xiaochao Zhou, Shunchuan Yang:
Novel Surface Integral Equation for TE Scattering Analysis by Objects Embedded in Multilayers. - Hannes Thaller, Lukas Linsbauer, Alexander Egyed, Stefan Fischer:
Towards Fault Localization via Probabilistic Software Modeling. - Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu:
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. - Carlos Fernandez, Foster J. Provost, Xintian Han:
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach. - Caglar Demir, Axel-Cyrille Ngonga Ngomo:
A Physical Embedding Model for Knowledge Graphs. - Artur Janc, Krzysztof Kotowicz, Lukas Weichselbaum, Roberto Clapis:
Information Leaks via Safari's Intelligent Tracking Prevention. - Abhilash Garg, Supriya Chakraborty, Manoj Malik, Devesh Kumar, Satyajeet Singh, Manan Suri:
Investigation of Data Deletion Vulnerabilities in NAND Flash Memory Based Storage. - Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David A. Sontag:
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects. - Ken-Ichi Ishikawa, Tomohiro Sogabe:
A thick-restart Lanczos type method for Hermitian $J$-symmetric eigenvalue problems. - Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten:
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images. - Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. - Asmaa Abdallah, Mohammad M. Mansour:
Efficient Angle-Domain Processing for FDD-based Cell-free Massive MIMO Systems. - Márcia Barros, André Moitinho, Francisco M. Couto:
Hybrid Semantic Recommender System for Chemical Compounds. - Ben Xie, Xiaofu Wu, Suofei Zhang, Shiliang Zhao, Ming Li:
Learning Diverse Features with Part-Level Resolution for Person Re-Identification. - Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. - Roope Sarala, Jussi Kiljander:
Grocery Store Flexibility Management Using Model Predictive Control With Neural Networks. - Youren Shen, Hongliang Tian, Yu Chen, Kang Chen, Runji Wang, Yi Xu, Yubin Xia:
Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX. - Fangzhou Liu, Shaoxuan Cui, Xianwei Li, Martin Buss:
On the Stability of the Endemic Equilibrium of A Discrete-Time Networked Epidemic Model. - Martin Lindvall, Jesper Molin:
Designing for the Long Tail of Machine Learning. - Philipp Holl, Vladlen Koltun, Nils Thuerey:
Learning to Control PDEs with Differentiable Physics. - Benedek Rozemberczki, Rik Sarkar:
Fast Sequence-Based Embedding with Diffusion Graphs. - Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Pruning Neural Belief Propagation Decoders. - Zhentan Zheng, Jianyi Liu:
P$^2$-GAN: Efficient Style Transfer Using Single Style Image. - Kentaro Wada, Shingo Kitagawa, Kei Okada, Masayuki Inaba:
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects. - Michael Elkin, Ofer Neiman:
Near-Additive Spanners and Near-Exact Hopsets, A Unified View. - Kentaro Wada, Kei Okada, Masayuki Inaba:
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter. - Ioannis S. Stamatiou, Nikolaos Halidias:
Convergence rates of the Semi-Discrete method for stochastic differential equations. - Luca Barletta, Stefano Rini:
On the Capacity of the Oversampled Wiener Phase Noise Channel. - Antonis Papasavva, Savvas Zannettou, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn:
Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board. - Bryce Clarke, Derek Elkins, Jeremy Gibbons, Fosco Loregiàn, Bartosz Milewski, Emily Pillmore, Mario Román:
Profunctor optics, a categorical update. - Vipul Gupta, Dominic Carrano, Yaoqing Yang, Vaishaal Shankar, Thomas A. Courtade, Kannan Ramchandran:
Serverless Straggler Mitigation using Local Error-Correcting Codes. - Zhichao Fang, Jonathan Dudek, Rodrigo Costas:
The stability of Twitter metrics: A study on unavailable Twitter mentions of scientific publications. - Ghalia Merzougui, Roumaissa Dehkal, Mahieddine Djoudi:
Evaluation of a course mediatised with Xerte. - Daniel N. Nissani:
Unsupervisedly Learned Representations: Should the Quest be Over? - Sofiane Kemchi, Abdelhafid Zitouni, Mahieddine Djoudi:
Self Organization Agent Oriented Dynamic Resource Allocation on Open Federated Clouds Environment. - Carla Mouradian, Fereshteh Ebrahimnezhad, Yassine Jebbar, Jasmeen Kaur Ahluwalia, Seyedeh Negar Afrasiabi, Roch H. Glitho, Ashok Moghe:
An IoT Platform-as-a-service for NFV Based - Hybrid Cloud / Fog Systems. - Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng:
A Comprehensive Study on Temporal Modeling for Online Action Detection. - Nicolas Aussel, Sophie Chabridon, Yohan Petetin:
Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics. - Jan Bosch, Ivica Crnkovic, Helena Holmström Olsson:
Engineering AI Systems: A Research Agenda. - Ben Adcock, Nick C. Dexter:
The gap between theory and practice in function approximation with deep neural networks. - Pushkar Mishra, Aleksandra Piktus, Gerard Goossen, Fabrizio Silvestri:
Node Masking: Making Graph Neural Networks Generalize and Scale Better. - Vevake Balaraman, Bernardo Magnini:
Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems. - Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé:
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping. - Nikolaos Alexiou, Marcello Lagana, Stylianos Gisdakis, Mohammad Khodaei, Panagiotis Papadimitratos:
VeSPA: Vehicular Security and Privacy-preserving Architecture. - Steve T. K. Jan, Vatche Ishakian, Vinod Muthusamy:
AI Trust in business processes: The need for process-aware explanations. - Camille Bourgaux, Ana Ozaki, Rafael Peñaloza, Livia Predoiu:
Provenance for the Description Logic ELHr. - Yiming Zhong, Yuan Tian, Mira Park, Soonja Yeom:
Exploring an Application of Virtual Reality for Early Detection of Dementia. - Erlend A. Basso, Kristin Ytterstad Pettersen:
Task-Priority Control of Redundant Robotic Systems using Control Lyapunov and Control Barrier Function based Quadratic Programs. - Zachariah Beasley, Alon Friedman, Les A. Piegl, Paul Rosen:
Leveraging Peer Feedback to Improve Visualization Education. - Nuno M. Rodrigues, João E. Batista, Sara Silva:
Ensemble Genetic Programming. - Benjamin Huth, Nils Meyer, Tilo Wettig:
Lattice QCD on a novel vector architecture. - Tiphaine Viard, Thomas McLachlan, Hamidreza Ghader, Satoshi Sekine:
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute. - Chenguang Lu:
Channels' Confirmation and Predictions' Confirmation: from the Medical Test to the Raven Paradox. - Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi:
R2DE: a NLP approach to estimating IRT parameters of newly generated questions. - Suzanne Tolmeijer, Markus Kneer, Cristina Sarasua, Markus Christen, Abraham Bernstein:
Implementations in Machine Ethics: A Survey. - Jéssica Rodrigues da Silva, Helena de Medeiros Caseli:
Generating Sense Embeddings for Syntactic and Semantic Analogy for Portuguese. - Adrien Kaiser, José Alonso Ybáñez Zepeda, Tamy Boubekeur:
Geometric Proxies for Live RGB-D Stream Enhancement and Consolidation. - Nicholas Asher, Soumya Paul, Chris Russell:
Adequate and fair explanations. - Yadong Zhang, Xin Chen:
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification. - Hongyu Jin, Panos Papadimitratos:
Resilient Privacy Protection for Location-Based Services through Decentralization. - Hongyu Jin, Panos Papadimitratos:
Proactive Certificate Validation for VANETs. - Hongyu Jin, Panos Papadimitratos:
Resilient Collaborative Privacy for Location-Based Services. - Laurel N. Dunn, Christopher Vermillion, Fotini K. Chow, Scott J. Moura:
On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems. - (Withdrawn) Turing analogues of Gödel statements and computability of intelligence.
- Laurel N. Dunn, Ioanna Kavvada, Mathilde Badoual, Scott J. Moura:
Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures. - Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, Savvas Zannettou:
From Pick-Up Artists to Incels: A Data-Driven Sketch of the Manosphere. - Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Understanding the Limitations of Network Online Learning. - Mark Chilenski, George Cybenko, Isaac Dekine, Piyush Kumar, Gil Raz:
Analytic Properties of Trackable Weak Models. - Colin Sheppard, Laurel N. Dunn, Sangjae Bae, Max Gardner:
Optimal Dispatch of Electrified Autonomous Mobility on Demand Vehicles during Power Outages. - Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. - Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. - Stefan Ultes:
Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning. - Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
EdgeNets: Edge Varying Graph Neural Networks. - Yang Li, Minghua Xia, Yik-Chung Wu:
Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm. - Fredrik Bagge Carlson:
MonteCarloMeasurements.jl: Nonlinear Propagation of Arbitrary Multivariate Distributions by means of Method Overloading. - Peter Hirsch, Lisa Mais, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. - Maciej A. Czyzewski:
batchboost: regularization for stabilizing training with resistance to underfitting & overfitting. - B. A. Wilson, Paul D. Ledger:
Efficient Computation of the Magnetic Polarizability Tensor Spectral Signature using POD. - Irawan Nurhas, Bayu Rima Aditya, Stefan Geisler, Jan M. Pawlowski:
Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration? - Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang:
Generate High-Resolution Adversarial Samples by Identifying Effective Features. - Lei Shi:
Mobility Inference on Long-Tailed Sparse Trajectory. - Johannes Schneider, Joshua Handali, Michalis Vlachos, Christian Meske:
Deceptive AI Explanations: Creation and Detection. - Gal Beniamini, Noam Nisan:
Bipartite Perfect Matching as a Real Polynomial. - Xiaoran Fan, Longfei Shangguan, Richard E. Howard, Yanyong Zhang, Yao Peng, Jie Xiong, Yunfei Ma, Xiang-Yang Li:
Towards Flexible Wireless Charging for Medical Implants Using Distributed Antenna System. - Jan Friso Groote, Tim A. C. Willemse:
A symmetric protocol to establish service level agreements. - Amarsagar Reddy Ramapuram Matavalam, Umesh Vaidya, Venkataramana Ajjarapu:
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems. - German Sviridov, Marco Bonola, Angelo Tulumello, Paolo Giaccone, Andrea Bianco, Giuseppe Bianchi:
LOcAl DEcisions on Replicated States (LOADER) in programmable data planes: programming abstraction and experimental evaluation. - Yi-Jun Chang, Martin Farach-Colton, Tsan-sheng Hsu, Meng-Tsung Tsai:
Streaming Complexity of Spanning Tree Computation. - Timo Schick, Hinrich Schütze:
Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference. - Sebastián Zudaire, Martín Garrett, Sebastián Uchitel:
Iterator-Based Temporal Logic Task Planning. - Mohamadreza Ahmadi, Rangoli Sharan, Joel W. Burdick:
Stochastic Finite State Control of POMDPs with LTL Specifications. - Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel:
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. - Petros Spachos, Konstantinos N. Plataniotis:
BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum. - Mengqiao Xu, Qian Pan, Haoxiang Xia, Naoki Masuda:
Estimating international trade status of countries from global liner shipping networks. - Qi Zhou, Jingjie Zhu, Junwen Zhang, Zhensheng Jia, Bernardo A. Huberman, Gee-Kung Chang:
Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods. - Maxim Zakharov:
Asynchronous Consensus Algorithm. - Jan Olaf Blech:
Towards Digital Twins for the Description of Automotive Software Systems. 20-28 - Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao:
Adaptive Large Neighborhood Search for Circle Bin Packing Problem. - Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Heng Yang, Jingnan Shi, Luca Carlone:
TEASER: Fast and Certifiable Point Cloud Registration. - Bartosz Kusmierz, William Sanders, Andreas Penzkofer, Angelo Capossele, Alon Gal:
Properties of the Tangle for Uniform Random and Random Walk Tip Selection. - Joy Egede, Temitayo A. Olugbade, Chongyang Wang, Siyang Song, Nadia Berthouze, Michel F. Valstar, Amanda C. de C. Williams, Hongying Meng, Min Hane Aung, Nicholas D. Lane:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. - Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. - Greg Bodwin:
Some General Structure for Extremal Sparsification Problems. - Lihi Dery, Erez Shmueli:
Improving Label Ranking Ensembles using Boosting Techniques. - Robert Gerstenberger, Maciej Besta, Torsten Hoefler:
Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided. - Wolfgang Garn:
Closed form distance formula for the balanced multiple travelling salesmen. - Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu:
Emergence of Pragmatics from Referential Game between Theory of Mind Agents. - Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter:
A Journey into Ontology Approximation: From Non-Horn to Horn. - Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa:
Block-wise Scrambled Image Recognition Using Adaptation Network. - Christophe Crespelle, Daniel Lokshtanov, Thi Ha Duong Phan, Eric Thierry:
Faster and Enhanced Inclusion-Minimal Cograph Completion. - Seyed Mehdi Ayyoubzadeh, Xiaolin Wu:
Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques. - Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau:
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning. - Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. - Vahid Izadi, Akshay Bhardwaj, Amir H. Ghasemi:
Impedance Modulation for Negotiating Control Authority in a Haptic Shared Control Paradigm. - Michael Dinitz, Benjamin Moseley:
Scheduling for Weighted Flow and Completion Times in Reconfigurable Networks. - Adnan Ahmad, Kiflom Desta, Fabian Lang, Dominik Schlechtweg:
Shared Task: Lexical Semantic Change Detection in German. - Nikhil Vyas, Ryan Williams:
Lower Bounds Against Sparse Symmetric Functions of ACC Circuits: Expanding the Reach of $\#$SAT Algorithms. - Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Deep Depth Prior for Multi-View Stereo. - Yanmao Man, Ming Li, Ryan M. Gerdes:
GhostImage: Perception Domain Attacks against Vision-based Object Classification Systems. - Ashraful Islam, Richard J. Radke:
Weakly Supervised Temporal Action Localization Using Deep Metric Learning. - Victoria Hernández-Mederos, Isidro A. Abelló Ugalde, Rolando M. Bruno Alfonso, Domenico Lahaye, Valia Guerra-Ones:
Isogeometric solution of Helmholtz equation with Dirichlet boundary condition: numerical experiences. - Rohit Jena, Katia P. Sycara:
Loss-annealed GAIL for sample efficient and stable Imitation Learning. - Ziyue Xiang, Daniel E. Acuna:
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets. - Ioannis Arapakis, Antonio Penta, Hideo Joho, Luis A. Leiva:
A Price-Per-Attention Auction Scheme Using Mouse Cursor Information. - Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben:
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies. - César Soto-Valero, Nicolas Harrand, Martin Monperrus, Benoit Baudry:
A Comprehensive Study of Bloated Dependencies in the Maven Ecosystem. - Subhayan Mukherjee, Ram Mohana Reddy Guddeti:
Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework. - Maria Apostolaki, Ankit Singla, Laurent Vanbever:
Performance-Driven Internet Path Selection. - Ying Xu, Xu Zhong, Antonio José Jimeno-Yepes, Jey Han Lau:
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP. - Derek DeSantis, Phillip J. Wolfram, Katrina Bennett, Boian S. Alexandrov:
Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification. - Ahmed Badawy, Ahmed El Shafie, Tamer Khattab:
On the Performance of Quickest Detection Spectrum Sensing: The Case of Cumulative Sum. - Yousaf Hashmy, Zhe Yu, Di Shi, Yang Weng:
Wide Area Measurement System-based Low Frequency Oscillation Damping Control through Reinforcement Learning. - Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari:
NeurOpt: Neural network based optimization for building energy management and climate control. - Angfan Zhu, Jiaqi Yang, Chen Zhao, Ke Xian, Zhiguo Cao, Xin Li:
LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching. - Bilal Abu-Salih, Kit Yan Chan, Omar S. Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal:
An Approach for Time-aware Domain-based Social Influence Prediction. - Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
Convergence Time Optimization for Federated Learning over Wireless Networks. - Sheng Cheng, Han Hu, Xinggong Zhang, Zongming Guo:
DeepRS: Deep-learning Based Network-Adaptive FEC for Real-Time Video Communications. - Priyank Agrawal, Theja Tulabandhula:
Incentivising Exploration and Recommendations for Contextual Bandits with Payments. - Kaile Huang, Yu Huang, Hengfeng Wei:
Fine-grained Analysis on Fast Implementations of Multi-writer Atomic Registers. - Junjie Shen, Dennis W. Hong:
OmBURo: A Novel Unicycle Robot with Active Omnidirectional Wheel. - Fei Chen, Changjiang Chen, Ge Guo, Changchun Hua, Guanrong Chen:
Delay and Packet-Drop Tolerant Multi-Stage Distributed Average Tracking in Mean Square. - Pratyush Garg, John D. Villasenor, Virginia Foggo:
Fairness Metrics: A Comparative Analysis. - Tyler Crain:
A Simple and Efficient Binary Byzantine Consensus Algorithm using Cryptography and Partial Synchrony. - Hassan Sartaj, Muhammad Zohaib Iqbal, Muhammad Uzair Khan:
CDST: A Toolkit for Testing Cockpit Display Systems of Avionics. - Sara Shahsavarani, Morteza Analoui, Reza Shoja Ghiass:
M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks. - Teck Kai Chan, Cheng Siong Chin, Ye Li:
Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound Event Detection. - Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, Huamin Qu:
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking. - Yuchen He, Sung Ha Kang, Hao Liu:
Curvature Regularized Surface Reconstruction from Point Cloud. - Jinyang Liu, Yujia Zhai, Zizhong Chen:
Normalization of Input-output Shared Embeddings in Text Generation Models. - Paul England, Henrique S. Malvar, Eric Horvitz, Jack W. Stokes, Cédric Fournet, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, Shabnam Erfani, Kevin Kane, Alex Shamis:
AMP: Authentication of Media via Provenance. - Elbert Du, Stan Zhang:
A Pseudopolynomial Algorithm to Minimize Maximum Lateness on Multiple Related Machines. - Sarah H. Q. Li, Assalé Adjé, Pierre-Loïc Garoche, Behçet Açikmese:
Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games. - Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira, Masaaki Iiyama:
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift. - Will Major, William J. Buchanan, Jawad Ahmad:
An authentication protocol based on chaos and zero knowledge proof. - Stéphanie Challita, Fabian Korte, Johannes Erbel, Faiez Zalila, Jens Grabowski, Philippe Merle:
Model-Based Cloud Resource Provisioning with TOSCA and OCCI. - Jean-Rassaire Fouefack, Bhushan Borotikar, Tania S. Douglas, Valérie Burdin, Tinashe E. M. Mutsvangwa:
Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints. - Angela Bonifati, Irena Holubová, Arnau Prat-Pérez, Sherif Sakr:
Graph Generators: State of the Art and Open Challenges. - Victor Berger, Michèle Sebag:
From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder. - Sahil Verma, Roland H. C. Yap:
Benchmarking Symbolic Execution Using Constraint Problems - Initial Results. - Hamza Khan, Anis Elgabli, Sumudu Samarakoon, Mehdi Bennis, Choong Seon Hong:
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication. - Jiawei Zhang:
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification. - Tonmoy Saikia, Thomas Brox, Cordelia Schmid:
Optimized Generic Feature Learning for Few-shot Classification across Domains. - Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. - Lorenz Wellhausen, René Ranftl, Marco Hutter:
Safe Robot Navigation via Multi-Modal Anomaly Detection. - Grigori Fursin, Hervé Guillou, Nicolas Essayan:
CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking. - Philip Ginsbach, Bruce Collie, Michael F. P. O'Boyle:
Automatically Harnessing Sparse Acceleration. - Luke Storry:
augKlimb: Interactive Data-Led Augmentation of Bouldering Training. - Thomas Spenke, Norbert Hosters, Marek Behr:
A Multi-Vector Interface Quasi-Newton Method with Linear Complexity for Partitioned Fluid-Structure Interaction. - Yujuan Han, Wenlian Lu, Shouhuai Xu:
Preventive and Reactive Cyber Defense Dynamics with Ergodic Time-dependent Parameters Is Globally Attractive. - Yi Zhang, Lu Zhang, Wassim Hamidouche, Olivier Déforges:
A Fixation-based 360° Benchmark Dataset for Salient Object Detection. - Sladana Josilo, György Dán:
Joint Wireless and Edge Computing Resource Management with Dynamic Network Slice Selection. - Di Qi, Lin Su, Jia Song, Edward Cui, Taroon Bharti, Arun Sacheti:
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data. - René R. Hiemstra, Thomas J. R. Hughes, Carla Manni, Hendrik Speleers, Deepesh Toshniwal:
A Tchebycheffian extension of multi-degree B-splines: Algorithmic computation and properties. - Gianira N. Alfarano, Julia Lieb, Joachim Rosenthal:
Construction of Rate (n-1)/n Non-Binary LDPC Convolutional Codes via Difference Triangle Sets. - Ameya Pore, Gerardo Aragon-Camarasa:
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning. - Bin Han, Hans D. Schotten:
Machine Learning for Network Slicing Resource Management: A Comprehensive Survey. - Patrice Bellot, Soëlie Lerch, Emmanuel Bruno, Elisabeth Murisasco:
Emotion and Sentiment Lexicon Impact on Sentiment Analysis Applied to Book Reviews. - Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Maria V. Vasilyeva:
Nonlocal multicontinua with Representative Volume Elements. Bridging separable and non-separable scales. - Rajiv Ranjan Kumar, Pradeep Varakantham:
On Solving Cooperative MARL Problems with a Few Good Experiences. - Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht:
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. - Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper:
Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics. - Herbert Egger, Nora Philippi:
A hybrid discontinuous Galerkin method for transport equations on networks. - Ilya Vorobyev:
Optimal Multistage Group Testing Algorithm for 3 Defectives. - Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi:
ARAACOM: ARAbic Algerian Corpus for Opinion Mining. - Manuel Castillo-López, Philippe Ludivig, Seyed Amin Sajadi-Alamdari, José Luis Sánchez-López, Miguel A. Olivares-Méndez, Holger Voos:
A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles. - Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh, Hima Patel, Berthold Reinwald:
A Neural Architecture for Person Ontology population. - Hongyu Jin, Mohammad Khodaei, Panos Papadimitratos:
Security and Privacy in Vehicular Social Networks. - Shikha Singh, Deepak Khemani:
Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems. - Cenk Gündogan, Christian Amsüss, Thomas C. Schmidt, Matthias Wählisch:
IoT Content Object Security with OSCORE and NDN: A First Experimental Comparison. - Guillermo Navas-Palencia:
Optimal binning: mathematical programming formulation. - Corinne Stucker, Konrad Schindler:
ResDepth: Learned Residual Stereo Reconstruction. - Edith Elkind, Davide Grossi, Ehud Shapiro, Nimrod Talmon:
Egalitarian Deliberative Decision Making. - Darryl Hannan, Akshay Jain, Mohit Bansal:
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. - Mario Bravetti:
Axiomatizing Maximal Progress and Discrete Time. - Jingren Xu, Kensuke Harada, Weiwei Wan, Toshio Ueshiba, Yukiyasu Domae:
Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks. - Mario Román:
Profunctor optics and traversals. - Nicholas Santavas, Ioannis Kansizoglou, Loukas Bampis, Evangelos G. Karakasis, Antonios Gasteratos:
Attention! A Lightweight 2D Hand Pose Estimation Approach. - Roberto Gretter, Marco Matassoni, Stefano Bannò, Daniele Falavigna:
TLT-school: a Corpus of Non Native Children Speech. - Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. - Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread. - Jean Cardinal, Ruy Fabila Monroy, Carlos Hidalgo-Toscano:
Chirotopes of Random Points in Space are Realizable on a Small Integer Grid. - Frank Schindler, Adam S. Jermyn:
Algorithms for Tensor Network Contraction Ordering. - Luca Bernardinello, Irina A. Lomazova, Roman Nesterov, Lucia Pomello:
Soundness-preserving composition of synchronously and asynchronously interacting workflow net components. - Alessandro Bazzi, Thomas Blazek, Michele Menarini, Barbara M. Masini, Alberto Zanella, Christoph F. Mecklenbräuker, Golsa Ghiaasi:
A Hardware-in-the-Loop Evaluation of the Impact of the V2X Channel on the Traffic-Safety Versus Efficiency Trade-offs. - Yang Chen:
Active Learning over DNN: Automated Engineering Design Optimization for Fluid Dynamics Based on Self-Simulated Dataset. - Hardik Joshi J., Jyoti Pareek:
Experiments on Manual Thesaurus based Query Expansion for Ad-hoc Monolingual Gujarati Information Retrieval Tasks. - Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. - Robert Khasanov, Jerónimo Castrillón:
Energy-efficient Runtime Resource Management for Adaptable Multi-application Mapping. - Bruno Artacho, Andreas E. Savakis:
UniPose: Unified Human Pose Estimation in Single Images and Videos. - Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong:
Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments. - Stefan Saftescu, Paul Newman:
Learning to Correct 3D Reconstructions from Multiple Views. - Ming-Chang Lee, Jia-Chun Lin, Olaf Owe:
PDS: Deduce Elder Privacy from Smart Homes. - Ivars Dzalbs, Tatiana Kalganova:
Accelerating supply chains with Ant Colony Optimization across range of hardware solutions. - Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala I. Al-Fuqaha:
Secure and Robust Machine Learning for Healthcare: A Survey. - Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz:
Simple and Fast Distributed Computation of Betweenness Centrality. - Catherine Tong, Shyam A. Tailor, Nicholas D. Lane:
Are Accelerometers for Activity Recognition a Dead-end? - Tom Van de Wiele, David Warde-Farley, Andriy Mnih, Volodymyr Mnih:
Q-Learning in enormous action spaces via amortized approximate maximization. - Gennaro Cordasco, Luisa Gargano, Adele Anna Rescigno:
Iterated Type Partitions. - Noe Caruso, Alessandro Michelangeli:
Krylov solvability of unbounded inverse linear problems. - Johan Bos:
Drawing Prolog Search Trees: A Manual for Teachers and Students of Logic Programming. - Amir Tasbihi, Frank R. Kschischang:
On the Capacity of Waveform Channels Under Square-Law Detection of Time-Limited Signals. - Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits:
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. - Csanád Sándor, Szabolcs Pável, Lehel Csató:
Pruning CNN's with linear filter ensembles. - Yuyi Sun, Swarun Kumar, Shibo He, Jiming Chen, Zhiguo Shi:
You foot the bill! Attacking NFC with passive relays. - Qimeng Quan, Xia Ji, Shuo Zhang:
Lowest-degree polynomial de Rham complex on general quadrilateral grids. - Yibin Xu, Yangyu Huang, Jianhua Shao:
Anchoring the value of Cryptocurrency. - Awais Ahmed, Sufian Hameed, Muhammad Rafi, Qublai Khan Ali Mirza:
Live Anomaly Detection based on Machine Learning Techniques SAD-F: Spark Based Anomaly Detection Framework. - Cheng-Xiang Wang, Marco Di Renzo, Slawomir Stanczak, Sen Wang, Erik G. Larsson:
Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges. - Yanny Moscovits, Eliseu Torres, Joberto S. B. Martins:
Managing IEC 61850 Message Exchange for SDN-Controlled Cognitive Communication Resource Allocation in the Smart Grid. - Samaneh Aghashahi, Ghasem Mirjalily, AliAkber Tadaion:
Cross Layer Design for Maximizing Network Utility in Multiple Gateways Wireless Mesh Networks. - Evan Fallis, Petros Spachos, Stefano Gregori:
A Power-Efficient Audio Acquisition System for Smart City Applications. - Dawit Hadush Hailu, Gebrehiwet Gebrekrstos Lema, Gebremichael T. Tesfamariam:
A Simulation Based Performance Evaluation of Optical Ethernet Switch. - Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne:
Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach. - Michael Filipenko, Andreas Angerer, Alwin Hoffmann, Wolfgang Reif:
Opportunities and Limitations of Mixed Reality Holograms in Industrial Robotics. - Jean Michel de Souza Sant'Ana, Arliones Hoeller, Richard Demo Souza, Samuel Montejo Sánchez, Hirley Alves, Mario de Noronha-Neto:
Hybrid Coded Replication in LoRa Networks. - Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh K. Panta, Kaustubh Joshi, Mostafa H. Ammar, Mung Chiang, Saurabh Bagchi:
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming. - Jose Macias, Harold Pinilla, Wilder E. Castellanos, José David Alvarado, Andres Sánchez:
Design and Implementation of a Multiprotocol IoT Gateway. - Xuwei Xue, Fu Wang, Fernando Agraz, Albert Pagès, Bitao Pan, Fulong Yan, Xiaotao Guo, Salvatore Spadaro, Nicola Calabretta:
SDN-controlled and Orchestrated OPSquare DCN Enabling Automatic Network Slicing with Differentiated QoS Provisioning. - Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Causality based Feature Fusion for Brain Neuro-Developmental Analysis. - Marnix Suilen, Nils Jansen, Murat Cubuktepe, Ufuk Topcu:
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization. - Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé:
A utility-based analysis of equilibria in multi-objective normal form games. - Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu:
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. - Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl:
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format. - Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, J. Alison Noble:
Discovering Salient Anatomical Landmarks by Predicting Human Gaze. - Rafael B. Fricks, Justin Solomon, Ehsan Samei:
Automatic phantom test pattern classification through transfer learning with deep neural networks. - Manuel Bodirsky, Simon Knäuer, Florian Starke:
ASNP: a tame fragment of existential second-order logic. - Michael C. Nwogugu:
Complexity, Stability Properties of Mixed Games and Dynamic Algorithms, and Learning in the Sharing Economy. - Junkang Li, Solène Thépaut, Véronique Ventos:
StarAI: Reducing incompleteness in the game of Bridge using PLP. - Ryo Suzuki, Jun Kato, Koji Yatani:
ClassCode: An Interactive Teaching and Learning Environment for Programming Education in Classrooms. - Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. - Hao Peng, Qing Ke, Ceren Budak, Daniel M. Romero, Yong-Yeol Ahn:
Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations. - Andrea D. Beck, Jonas Zeifang, Anna Schwarz, David G. Flad:
A Neural Network based Shock Detection and Localization Approach for Discontinuous Galerkin Methods. - Wesley Davis, Richard Noren:
Composite Quadrature Methods for Weakly Singular Convolution Integrals. - Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. - Chris Xiaoxuan Lu, Yang Li, Yuanbo Xiangli, Zhengxiong Li:
Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices. - Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen:
Active Perception with A Monocular Camera for Multiscopic Vision. - Lin Chen, Lei Xu, Zhimin Gao, Keshav Kasichainula, Weidong Shi:
Nonlinear Blockchain Scalability: a Game-Theoretic Perspective. - Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb:
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. - Theodor Cimpeanu, The Anh Han:
Making an Example: Signalling Threat in the Evolution of Cooperation. - Ziyang Tang, Xiang Liu, Guangyu Shen, Baijian Yang:
PENet: Object Detection using Points Estimation in Aerial Images. - Md. Amirul Islam, Sen Jia, Neil D. B. Bruce:
How Much Position Information Do Convolutional Neural Networks Encode? - Raymond Cheng, William Scott, Elisaweta Masserova, Irene Zhang, Vipul Goyal, Thomas E. Anderson, Arvind Krishnamurthy, Bryan Parno:
Talek: Private Group Messaging with Hidden Access Patterns. - Soheil Abbasloo, Yang Xu, H. Jonathan Chao:
To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm in datacenter networks. - Shuangshuang Chen, Qingguo Hong, Jinchao Xu, Kai Yang:
Robust block preconditioners for poroelasticity. - Stefan Löckel, Jan Peters, Peter van Vliet:
A Probabilistic Framework for Imitating Human Race Driver Behavior. - Jochen Schütz, David C. Seal:
An asymptotic preserving semi-implicit multiderivative solver. - Karol Antczak:
Representation Learning for Medical Data. - Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye:
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. - (Withdrawn) Transition-Based Dependency Parsing using Perceptron Learner.
- Julia Lieb, Raquel Pinto, Joachim Rosenthal:
Convolutional Codes. - M. Hammad Mazhar, Zubair Shafiq:
Characterizing Smart Home IoT Traffic in the Wild. - Graeme W. Milton:
Substitution of subspace collections with nonorthogonal subspaces to accelerate Fast Fourier Transform methods applied to conducting composites. - Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Michael Sirivianos:
Understanding the Incel Community on YouTube. - Zana Buçinca, Phoebe Lin, Krzysztof Z. Gajos, Elena L. Glassman:
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems. - Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. - Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung:
Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients. - Malin Eiband, Daniel Buschek, Heinrich Hussmann:
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion. - Mikel Menta, Adriana Romero, Joost van de Weijer:
Learning to adapt class-specific features across domains for semantic segmentation. - Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion:
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. - Dinesh Singh, Makoto Yamada:
FsNet: Feature Selection Network on High-dimensional Biological Data. - Yuwei Tu, Weiyu Chen, Christopher G. Brinton:
A Deep Learning Approach to Behavior-Based Learner Modeling. - Lei Gai:
Leveraging Neighborhood Summaries for Efficient RDF Queries on RDBMS. - Clarence Chen, Zachary A. Pardos:
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling. - Ryuta Arisaka, Takayuki Ito:
Numerical Abstract Persuasion Argumentation for Expressing Concurrent Multi-Agent Negotiations. - Hailiang Liu, Wumaier Maimaitiyiming:
Efficient, positive, and energy stable schemes for multi-D Poisson-Nernst-Planck systems. - Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita:
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation. - Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. - Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei:
Scaling Laws for Neural Language Models. - Canyu Le, Zhonggui Chen, Xihan Wei, Biao Wang, Lei Zhang:
Continual Local Replacement for Few-shot Image Recognition. - Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet:
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. - Yihui Qiu, Chiyu Zhang:
Wrapper Feature Selection Algorithm for the Optimization of an Indicator System of Patent Value Assessment. - Andreas P. Hinterreiter, Christian Alexander Steinparz, Moritz Schöfl, Holger Stitz, Marc Streit:
Exploring Visual Patterns in Projected Human and Machine Decision-Making Paths. - Chuan Wang, Xu-Meng Wang, Kwan-Liu Ma:
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks. - Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su:
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. - Stefano Pedemonte, Brent Mombourquette, Alexis Goh, Trevor Tsue, Aaron Long, Sadanand Singh, Thomas Paul Matthews, Meet Shah, Jason Su:
A Hypersensitive Breast Cancer Detector. - Elliot J. Carr:
Solving advection-diffusion-reaction problems in layered media using the Laplace transform. - Yanyan Wei, Zhao Zhang, Yang Wang, Mingbo Zhao, Meng Wang:
Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network. - Yaguan Qian, Xi-Ming Zhang, Bin Wang, Wei Li, Jian-Hai Chen, Wujie Zhou, Jing-Sheng Lei:
Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples. - Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs:
Towards context in large scale biomedical knowledge graphs. - Andrea E. Frank, Laurel D. Riek:
Socially intelligent task and motion planning for human-robot interaction. - Jianmao Xiao, Shizhan Chen, Qiang He, Zhiyong Feng, Xiao Xue:
An Android Application Risk Evaluation Framework Based on Minimum Permission Set Identification. - Tuukka Salmi, Jussi Kiljander, Daniel Pakkala:
Stacked Boosters Network Architecture for Short Term Load Forecasting in Buildings. - Jirí Fink, Johann L. Hurink:
A Greedy algorithm for local heating. - Nima Monshizadeh:
Amidst data-driven model reduction and control. - Tiantian He, Lu Bai, Yew-Soon Ong:
Relational Thematic Clustering with Mutually Preferred Neighbors. - Jirí Fink, Martin Loebl:
Arc-routing for winter road maintenance. - Irena Rusu:
Sorting Permutations with Fixed Pinnacle Set. - Stefan Felsner, Alexander Pilz, Patrick Schnider:
Arrangements of Approaching Pseudo-Lines. - (Withdrawn) Information set decoding of Lee-metric codes over finite rings.
- Asad Javed, Keijo Heljanko, Andrea Buda, Kary Främling:
CEFIoT: A Fault-Tolerant IoT Architecture for Edge and Cloud. - Sourav Garg, Michael Milford:
Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations. - Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, Jeremy Blackburn:
The Pushshift Reddit Dataset. - Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li:
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. - Jason Baumgartner, Savvas Zannettou, Megan Squire, Jeremy Blackburn:
The Pushshift Telegram Dataset. - Johan Kwisthout, Nils Donselaar:
On the computational power and complexity of Spiking Neural Networks. - Priyank Faldu, Jeff Diamond, Boris Grot:
A Closer Look at Lightweight Graph Reordering. - Yu-Tung Liu, Tzi-Dar Chiueh:
Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation. - Yuquan Wang, Arnaud Tanguy, Pierre Gergondet, Abderrahmane Kheddar:
Impact-aware humanoid robot motion generation with a quadratic optimization controller. - Aviad Aberdam, Alona Golts, Michael Elad:
Ada-LISTA: Learned Solvers Adaptive to Varying Models. - Koki Hamada, Shuichi Miyazaki, Kazuya Okamoto:
Strongly Stable and Maximum Weakly Stable Noncrossing Matchings. - Shan Qu, Ziqi Zhao, Luoyi Fu, Xinbing Wang, Jun Xu:
Joint Inference on Truth/Rumor and Their Sources in Social Networks. - Mridul Mahajan, Tryambak Bhattacharjee, Arya Krishnan, Priya Shukla, Gora Chand Nandi:
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space. - Jörg Endrullis, Jan Willem Klop, Roy Overbeek:
Star Games and Hydras. - Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. - Piotr Gawlowicz, Elnaz Alizadeh Jarchlo, Anatolij Zubow:
WoV: WiFi-based VLC testbed. - Alessandro Bazzi:
Congestion Control Mechanisms in IEEE 802.11p and Sidelink C-V2X. - Noureddine Boucif, Frederik Golchert, Alexander Siemer, Patrick Felke, Frederik Gosewehr:
Crushing the Wave - new Z-Wave vulnerabilities exposed. - Pierre de Tournemire, Davide Nitti, Etienne Perot, Davide Migliore, Amos Sironi:
A Large Scale Event-based Detection Dataset for Automotive. - Narjes Nikzad-Khasmakhi, M. A. Balafar, Mohammad-Reza Feizi-Derakhshi, Cina Motamed:
ExEm: Expert Embedding using dominating set theory with deep learning approaches. - Laurent Feuilloley:
Bibliography of distributed approximation on structurally sparse graph classes. - Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian:
Filter Sketch for Network Pruning. - Timo Bingmann, Peter Sanders, Matthias Schimek:
Communication-Efficient String Sorting. - Karol Cheinski, Pawel Wawrzynski:
DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. - Peilun Wu, Hui Guo:
Pelican: A Deep Residual Network for Network Intrusion Detection. - Yehia Elrakaiby, Paola Spoletini, Bashar Nuseibeh:
Optimal by Design: Model-Driven Synthesis of Adaptation Strategies for Autonomous Systems. - Mustafa Safa Özdayi, Murat Kantarcioglu, Bradley A. Malin:
Leveraging Blockchain for Immutable Logging and Querying Across Multiple Sites. - Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar:
Multi-Level Representation Learning for Deep Subspace Clustering. - David Millard, Eric Heiden, Shubham Agrawal, Gaurav S. Sukhatme:
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. - Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. - Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten:
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. - Marco Zimmerling, Luca Mottola, Silvia Santini:
Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services. - Marcin Wnuk, Michael Gnewuch:
Randomized sparse grid algorithms for multivariate integration on Haar-Wavelet spaces. - (Withdrawn) Information Compensation for Deep Conditional Generative Networks.
- Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. - Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang:
Towards A Controllable Disentanglement Network. - Beldjezzar Leila, Abdelhafid Zitouni, Mahieddine Djoudi:
New Framework Model to Secure Cloud Data Storage. - Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen:
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. - Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. - Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. - Marie Billaud Friess, Antonio Falcó, Anthony Nouy:
A geometry based algorithm for dynamical low-rank approximation. - Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang:
RPN: A Residual Pooling Network for Efficient Federated Learning. - Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin:
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. - Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt:
Learning Distributional Programs for Relational Autocompletion. - Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee:
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation. - Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-tech Companies. - Guosheng Fu, Christoph Lehrenfeld, Alexander Linke, Timo Streckenbach:
Locking free and gradient robust H(div)-conforming HDG methods for linear elasticity. - Lin Liu, Guiyang Xia, Jun Zou, Weibin Zhang, Feng Shu, Jiangzhou Wang:
Receive Antenna Selection for Secure Pre-coding Aided Spatial Modulation. - Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West:
Quantifying Engagement with Citations on Wikipedia. - Alberto Tejero, Víctor Rodríguez-Doncel, Iván Pau:
Knowledge Graphs for Innovation Ecosystems. - Eric Medvet, Alberto Bartoli, Andrea De Lorenzo, Stefano Seriani:
2D-VSR-Sim: an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots. - Bence Keresztury, Elia Bruni:
Compositional properties of emergent languages in deep learning. - Xiangguo Liu, Guangchen Zhao, Neda Masoud, Qi Zhu:
Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning. - Luis A. Mateos:
AprilTags 3D: Dynamic Fiducial Markers for Robust Pose Estimation in Highly Reflective Environments and Indirect Communication in Swarm Robotics. - Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp:
Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. - Jirí Fink:
Approximation algorithms for scheduling a group of heat pumps. - Chao Wang:
A Study of the Tasks and Models in Machine Reading Comprehension. - William J. Layton, Wenlong Pei, Yi Qin, Catalin Trenchea:
Analysis of the variable step method of Dahlquist, Liniger and Nevanlinna for fluid flow. - Roberto Di Cosmo, Morane Gruenpeter, Stefano Zacchiroli:
Referencing Source Code Artifacts: a Separate Concern in Software Citation. - Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy:
Structured Compression and Sharing of Representational Space for Continual Learning. - Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting. - David Melhart, Georgios N. Yannakakis, Antonios Liapis:
I Feel I Feel You: A Theory of Mind Experiment in Games. - Chandan K. A. Reddy, Ebrahim Beyrami, Harishchandra Dubey, Vishak Gopal, Roger Cheng, Ross Cutler, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke:
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework. - Reza Rafie Borujeny, Frank R. Kschischang:
A Signal-Space Distance Measure for Nondispersive Optical Fiber. - Qing Wan, Yoonsuck Choe:
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model. - Paulo Rocha, Diego Pinheiro, Martin Cadeiras, Carmelo J. A. Bastos Filho:
Towards Automatic Clustering Analysis using Traces of Information Gain: The InfoGuide Method. - Shashank Vatedka, Venkat Chandar, Aslan Tchamkerten:
$O(\log \log n)$ Worst-Case Local Decoding and Update Efficiency for Data Compression. - Zijie Zhuang, Longhui Wei, Lingxi Xie, Hengheng Zhang, Tianyu Zhang, Haozhe Wu, Haizhou Ai, Qi Tian:
Disassembling the Dataset: A Camera Alignment Mechanism for Multiple Tasks in Person Re-identification. - Philipp Becker, Oleg Arenz, Gerhard Neumann:
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. - Erik C. Rye, Robert Beverly:
Discovering the IPv6 Network Periphery. - Genevieve Gorrell, Mehmet E. Bakir, Ian Roberts, Mark A. Greenwood, Kalina Bontcheva:
Online Abuse toward Candidates during the UK General Election 2019: Working Paper. - Rodrigo Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation. - Heng Zhang, Yan Zhang, Guifei Jiang:
Model-theoretic Characterizations of Existential Rule Languages. - Abhijit Suprem, Calton Pu:
EventMapper: Detecting Real-World Physical Events Using Corroborative and Probabilistic Sources. - Brais Martínez, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Lipreading using Temporal Convolutional Networks. - Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung:
Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. - Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: continual learning without any forgetting. - Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Boolean Functions. - Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka:
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning. - Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat, Eitan Yaakobi:
The Capacity of Single-Server Weakly-Private Information Retrieval. - Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu:
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment. - Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri:
Robust Explanations for Visual Question Answering. - Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, Ming-Hsuan Yang:
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation. - Wei-Ting Chang, Ravi Tandon:
Communication Efficient Federated Learning over Multiple Access Channels. - Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer:
Audiovisual SlowFast Networks for Video Recognition. - Mayank Wadhwani, Debapriya Kundu, Deepayan Chakraborty, Bhabatosh Chanda:
Text Extraction and Restoration of Old Handwritten Documents. - Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh:
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation. - Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez:
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. - Max Daniels, Paul Hand, Reinhard Heckel:
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder. - Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text. - L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Interventions for Ranking in the Presence of Implicit Bias. - Sorour Mohajerani, Parvaneh Saeedi:
Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function. - Yanjun Pan, Alon Efrat, Ming Li, Boyang Wang, Hanyu Quan, Joseph S. B. Mitchell, Jie Gao, Esther M. Arkin:
Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach. - Glencora Borradaile, Brett Burkhardt, Alexandria LeClerc:
Whose Tweets are Surveilled for the Police: An Audit of Social-Media Monitoring Tool via Log Files. - Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Deep Bayesian Network for Visual Question Generation. - Johann Knechtel:
Hardware Security for and beyond CMOS Technology: An Overview on Fundamentals, Applications, and Challenges. - Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer:
Semi-Autoregressive Training Improves Mask-Predict Decoding. - Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae Eun Park:
Machine learning based co-creative design framework. - Suman Chakravorty, Weston R. Faber, Islam I. Hussein, Utkarsh Ranjan Mishra:
A Belief Space Perspective of RFS based Multi-Target Tracking and its Relationship to MHT. - Jacob A. George, Sridharan Radhakrishnan, Mark R. Brinton, Gregory A. Clark:
Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses. - Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh:
Reliable and Energy Efficient MLC STT-RAM Buffer for CNN Accelerators. - Jacob A. George, Troy N. Tully, Paul C. Colgan, Gregory A. Clark:
Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control. - Kursat Rasim Mestav, Lang Tong:
Universal Data Anomaly Detection via Inverse Generative Adversary Network. - Valerio Lorini, Javier Rando, Diego Sáez-Trumper, Carlos Castillo:
Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood. - Johannes Rauh, Frantisek Matús:
Maximizing the Bregman divergence from a Bregman family. - Stamatis Tsianikas, Nooshin Yousefi, Jian Zhou, David W. Coit:
The impact of analytical outage modeling on expansion planning problems in the area of power systems. - Sarah Michele Rajtmajer, Ashish Simhachalam, Thomas Zhao, Brady Bickel, Christopher Griffin:
A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations. - Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach:
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning. - Alex Kearney, Anna Koop, Patrick M. Pilarski:
What's a Good Prediction? Issues in Evaluating General Value Functions Through Error. - Mahesh Narayanamurthi, Ulrich Römer, Adrian Sandu:
Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems. - Jorge Cayama, Carlota M. Cuesta, Francisco de la Hoz:
Numerical Approximation of the Fractional Laplacian on R Using Orthogonal Families. - Srdan Kitic, Gilles Puy, Patrick Pérez, Philippe Gilberton:
Scattering Features for Multimodal Gait Recognition. - Daniel Fernandez, Ariel Futoransky, Gustavo Ajzenman, Matias Travizano, Carlos Sarraute:
Wibson Protocol for Secure Data Exchange and Batch Payments. - Prithviraj Ammanabrolu, Matthew J. Hausknecht:
Graph Constrained Reinforcement Learning for Natural Language Action Spaces. - Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang:
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. - Matthew Lentz, Rijurekha Sen, Peter Druschel, Bobby Bhattacharjee:
SeCloak: ARM Trustzone-based Mobile Peripheral Control. - Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi, Donald Wunsch:
Autonomous Control of a Line Follower Robot Using a Q-Learning Controller. - Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. - Kei Yin Ng, Anna Feldman, Jing Peng:
Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo. - Jack H. Lutz, Giora Slutzki:
Nonregularity via Ordinal Extensions. - Rong Du, Hossein Shokri Ghadikolaei, Carlo Fischione:
Wirelessly-powered Sensor Networks Power Allocation for Channel Estimation and Energy Beamforming. - Zenan Huo, Gang Mei, Nengxiong Xu:
juSFEM: A Julia-based Open-source Package of Parallel Smoothed Finite Element Method (S-FEM) for Elastic Problems. - Sneihil Gopal, Sanjit K. Kaul, Rakesh Chaturvedi, Sumit Roy:
A Non-Cooperative Multiple Access Game for Timely Updates. - Kerem Ayoz, Erman Ayday, A. Ercüment Çiçek:
Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons. - Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park:
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. - Changye Yang, Sriram Baireddy, Yuhao Chen, Enyu Cai, Denise Caldwell, Valérian Méline, Anjali S. Iyer-Pascuzzi, Edward J. Delp:
Plant Stem Segmentation Using Fast Ground Truth Generation. - Bo Zhang, Ruotong Yu, Haipei Sun, Yanying Li, Jun Xu, Hui Wang:
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack. - Yahia Assiri:
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods. - Vivette Girault, Beatrice Riviere, Loic Cappanera:
Convergence of a finite element method for degenerate two-phase flow in porous media. - Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier:
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. - Amir Kenarsari-Anhari:
Learning Multi-instrument Classification with Partial Labels. - Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür:
Exploration Based Language Learning for Text-Based Games. - Yifei Chen, Haoyu Ma, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie:
Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation. - Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. - Jochen Hinz, Michael R. A. Abdelmalik, Matthias Möller:
Goal-Oriented Adaptive THB-Spline Schemes for PDE-Based Planar Parameterization. - Fei Li:
Weight distributions and weight hierarchies of two classes of binary linear codes. - Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang:
Progressive Local Filter Pruning for Image Retrieval Acceleration. - Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William C. Headley, Bryse Flowers, George Stantchev, Zhuo Lu:
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. - Luna M. Zhang:
PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces. - Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida:
Character-independent font identification. - Sam Blake:
Families of Multidimensional Arrays with Good Autocorrelation and Asymptotically Optimal Cross-correlation. - Abhijit Suprem, Calton Pu, João Eduardo Ferreira:
Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach. - Urmish Thakker, Paul N. Whatmough, Matthew Mattina, Jesse G. Beu:
Compressing Language Models using Doped Kronecker Products. - Yu Nakahata, Takashi Horiyama, Shin-ichi Minato, Katsuhisa Yamanaka:
Compiling Crossing-free Geometric Graphs with Connectivity Constraint for Fast Enumeration, Random Sampling, and Optimization. - Nguyen Phong Hoang, Ivan Lin, Seyedhamed Ghavamnia, Michalis Polychronakis:
K-resolver: Towards Decentralizing Encrypted DNS Resolution. - Christian Mehl, Volker Mehrmann, Michal Wojtylak:
Distance problems for dissipative Hamiltonian systems and related matrix polynomials. - Feng Shi, Frank Neumann, Jianxin Wang:
Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem. - Muhammad Raza Khan, Morteza Ziyadi, Mohamed Abdelhady:
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers. - Beixiong Zheng, Qingqing Wu, Rui Zhang:
Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA? - Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
RePAD: Real-time Proactive Anomaly Detection for Time Series. - Langtao Chen:
The Impact of Content Commenting on User Continuance in Online Q&A Communities: An Affordance Perspective. - Hamid Reza Boveiri, Raouf Khayami:
On the Performance of Metaheuristics: A Different Perspective. - Piero A. Bonatti, Sabrina Kirrane, Iliana M. Petrova, Luigi Sauro:
Machine Understandable Policies and GDPR Compliance Checking. - Leonardo Colombo, Maria Emma Eyrea Irazú:
Symmetries and periodic orbits in simple hybrid Routhian systems. - Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop:
6D Object Pose Regression via Supervised Learning on Point Clouds. - Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. - Rick Erkens, Jurriaan Rot, Bas Luttik:
Up-to Techniques for Branching Bisimilarity. - Vittoria de Nitto Persone:
Teaching Performance Modeling in the era of millennials. - Saurabh Goyal, Anamitra Roy Choudhury, Venkatesan T. Chakaravarthy, Saurabh ManishRaje, Yogish Sabharwal, Ashish Verma:
PoWER-BERT: Accelerating BERT inference for Classification Tasks. - Thinh Quang Dinh, Ben Liang, Tony Q. S. Quek, Hyundong Shin:
Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System. - Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul:
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection. - Stefan Schubert, Peer Neubert, Peter Protzel:
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments. - Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation. - Weiheng Jiang, Yu Zhang, Jinsong Wu, Wenjiang Feng, Yi Jin:
Intelligent Reflecting Surface Assisted Secure Wireless Communications with Multiple-Transmit and Multiple-Receive Antennas. - Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner:
Design optimisation of a multi-mode wave energy converter. - Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk:
SOLAR: Second-Order Loss and Attention for Image Retrieval. - Aritra Banik, Pratibha Choudhary, Venkatesh Raman, Saket Saurabh:
Fixed-parameter tractable algorithms for Tracking Shortest Paths. - Barakat J. Akinsanya, Luiz Jonata Pires de Araujo, Mariia Charikova, Susanna Gimaeva, Alexandr Grichshenko, Adil Khan, Manuel Mazzara, Ozioma Okonicha N, Daniil Shilintsev:
Machine Learning and value generation in Software Development: a survey. - Vahid Vahidpour, Amir Rastegarnia, Azam Khalili, Wael M. Bazzi, Saeid Sanei:
Variants of Partial Update Augmented CLMS Algorithm and Their Performance Analysis. - Florian Kammüller:
A Formal Development Cycle for Security Engineering in Isabelle. - Glen P. Martin, David A. Jenkins, Lucy Bull, Rose Sisk, Lijing Lin, William Hulme, Anthony Wilson, Wenjuan Wang, Michael Barrowman, Camilla Sammut-Powell, Alexander Pate, Matthew Sperrin, Niels Peek:
Towards a Framework for the Design, Implementation and Reporting of Methodology Scoping Reviews. - Ahmed E. Youssef:
A Framework for Cloud Security Risk Management Based on the Business Objectives of Organizations. - Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
Mechanism Design for Multi-Party Machine Learning. - Ziqiang Shi, Rujie Liu, Jiqing Han:
La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention. - Shervin Roshanisefat, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
SAT-hard Cyclic Logic Obfuscation for Protecting the IP in the Manufacturing Supply Chain. - Antoine Tambue, Jean Daniel Mukam:
Optimal error estimate of the finite element approximation of second order semilinear non-autonomous parabolic PDEs. - Priyabrata Saha, Arslan Ali, Burhan Ahmad Mudassar, Yun Long, Saibal Mukhopadhyay:
MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network. - Federico Errica, Davide Bacciu, Alessio Micheli:
Theoretically Expressive and Edge-aware Graph Learning. - P. S. Naga Jyotish, Bharath Gopalakrishnan, A. V. S. Sai Bhargav Kumar, Arun Kumar Singh, K. Madhava Krishna, Dinesh Manocha:
Reactive Navigation under Non-Parametric Uncertainty through Hilbert Space Embedding of Probabilistic Velocity Obstacles. - Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership preserving AI Market Places using Blockchain. - Nooshin Yousefi, Stamatis Tsianikas, Jian Zhou, David W. Coit:
Inspection plan prediction for multi-repairable component systems using neural network. - Mirko Zichichi, Stefano Ferretti, Gabriele D'Angelo:
Are Distributed Ledger Technologies Ready for Smart Transportation Systems? - Zhao Zhang, Zemin Tang, Yang Wang, Jie Qin, Zhengjun Zha, Shuicheng Yan:
Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition. - Thomas Kühn, Winfried Sickel, Tino Ullrich:
How anisotropic mixed smoothness affects the decay of singular numbers of Sobolev embeddings. - Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yufeng Li, Nan Ma, Xiao-Hu Qie:
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. - Christian Deppe, Vladimir S. Lebedev, Georg Maringer:
Bounds for the capacity error function for unidirectional channels with noiseless feedback. - Prathamesh Mayekar, Himanshu Tyagi:
Limits on Gradient Compression for Stochastic Optimization. - Yue Guan, Rade Grujicic, Xuechuan Wang, Leiting Dong, Satya N. Atluri:
A New Meshless "Fragile Points Method" and A Local Variational Iteration Method for General Transient Heat Conduction in Anisotropic Nonhomogeneous Media. - Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Toshiyuki Yamane, Koji Masuda, Victoria A. Piunova, Dmitry Zubarev, Jed Pitera, Daniel P. Sanders, Daiju Nakano:
AI-driven Inverse Design System for Organic Molecules. - Se Un Park:
Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks. - Michael Ruderman:
Optimal terminal sliding-mode control for second-order motion systems. - Bart M. N. Smets, Jim Portegies, Erik J. Bekkers, Remco Duits:
PDE-based Group Equivariant Convolutional Neural Networks. - Esmaeil Karimi, Emina Soljanin, Philip Whiting:
Increasing the Raw Key Rate in Energy-Time Entanglement Based Quantum Key Distribution. - David Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna, Maria-Esther Vidal, Óscar Corcho:
Enhancing OBDA Query Translation over Tabular Data with Morph-CSV. - Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a Principle homogeneous space. - Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden:
Towards Graph Representation Learning in Emergent Communication. - Murat Cubuktepe, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications. - Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen:
Deep Non-Line-of-Sight Reconstruction. - Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese:
Priority-based Fair Scheduling in Edge Computing. - William Seymour, Martin J. Kraemer, Reuben Binns, Max Van Kleek:
Informing the Design of Privacy-Empowering Tools for the Connected Home. - Jacopo Urbani, Ceriel J. H. Jacobs:
Adaptive Low-level Storage of Very Large Knowledge Graphs. - Joel Hass, Maria Trnkova:
Approximating Surfaces in R3 by Meshes with Guaranteed Regularity. - Dogan Altan, Sanem Sariel:
What went wrong?: Identification of Everyday Object Manipulation Anomalies. - Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma:
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor. - Saddek Benabied, Abdelhafid Zitouni, Mahieddine Djoudi:
A Cloud Security Framework Based on Trust Model and Mobile Agent. - Yuan Li, Frank Ingram, Huaming Zhang:
Results of nested canalizing functions. - Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. - Lee Friedman, Hal Stern, Larry R. Price, Oleg V. Komogortsev:
Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance. - Cuiyu He, Zhiqiang Cai, Shun Zhang:
Generalized Prager-Synge Inequality and Equilibrated Error Estimators for Discontinuous Elements. - Sami Ben Mariem, Pedro Casas, Matteo Romiti, Benoit Donnet, Rainer Stütz, Bernhard Haslhofer:
All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network. - Daniel Graves, Kasra Rezaee, Sean Scheideman:
Perception as prediction using general value functions in autonomous driving applications. - Fatemeh Kazemi, Sascha Kurz, Emina Soljanin:
A Geometric View of the Service Rates of Codes Problem and its Application to the Service Rate of the First Order Reed-Muller Codes. - Thomas Steinke, Lydia Zakynthinou:
Reasoning About Generalization via Conditional Mutual Information. - Michael Fisher, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikoff, Neil Yorke-Smith:
Towards a Framework for Certification of Reliable Autonomous Systems. - Yuhua Zhu, Lexing Ying:
A Sharp Convergence Rate for the Asynchronous Stochastic Gradient Descent. - Rounak Meyur, Madhav V. Marathe, Anil Vullikanti, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke:
Creating Realistic Synthetic Power Distribution Networks based on Interdependent Road Infrastructure. - Shivam Rustagi, Aakash Garg, Pranay Raj Anand, Rajesh Kumar, Yaman Kumar, Rajiv Ratn Shah:
Touchless Typing using Head Movement-based Gestures. - Adam Byerly, Tatiana Kalganova, Ian Dear:
A Branching and Merging Convolutional Network with Homogeneous Filter Capsules. - Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka:
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation. - Zhong Guo, Austin R. Coffman, Jeffrey Munk, Piljae Im, P. Teja Kuruganti, Prabir Barooah:
Aggregation and Data Driven Identification of Building Thermal Dynamic Model and Unmeasured Disturbance. - Evelyne Hubert, Michael F. Singer:
Sparse Interpolation in Terms of Multivariate Chebyshev Polynomials. - Fatemeh Kazemi, Esmaeil Karimi, Emina Soljanin, Alex Sprintson:
A Combinatorial View of the Service Rates of Codes Problem, its Equivalence to Fractional Matching and its Connection with Batch Codes. - Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li, Yves Le Traon:
Learning to Catch Security Patches. - Abdelwahab Boualouache, Ridha Soua, Thomas Engel:
Software-Defined Location Privacy Protection for Vehicular Networks. - Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-segmentation on CT Scans. - Daniela Girardi, Nicole Novielli, Davide Fucci, Filippo Lanubile:
Recognizing Developers' Emotions while Programming. - Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth:
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. - Filipp Demenschonok, Jason Harrigan, Tamara Bonaci:
An Overview of Fingerprint-Based Authentication: Liveness Detection and Beyond. - James Townsend:
A tutorial on the range variant of asymmetric numeral systems. - Daniel Kressner, Jonas Latz, Stefano Massei, Elisabeth Ullmann:
Certified and fast computations with shallow covariance kernels. - Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
Learning a distance function with a Siamese network to localize anomalies in videos. - Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Ben S. Southworth, Milan Holec, Terry S. Haut:
Diffusion synthetic acceleration for heterogeneous domains, compatible with voids. - Florian Bridoux, Maximilien Gadouleau, Guillaume Theyssier:
Simulation of automata networks. - Neset Ünver Akmandor, Taskin Padir:
A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling. - Austin P. Wright, Herbert Wiklicky:
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings. - Erez Yahalomi:
Modular network for high accuracy object detection. - Rasoul Kiani, Amin Keshavarzi, Mahdi Bohlouli:
Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks. - Ahmed Khalifa, Philip Bontrager, Sam Earle, Julian Togelius:
PCGRL: Procedural Content Generation via Reinforcement Learning. - Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms. - Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller:
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience. - Wei Wang, Shibo Zhou, Jingxi Li, Xiaohua Li, Junsong Yuan, Zhanpeng Jin:
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving. - Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Kun Yang:
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks. - Farzan Memarian, Zhe Xu, Bo Wu, Min Wen, Ufuk Topcu:
Active Task-Inference-Guided Deep Inverse Reinforcement Learning. - Nan Wang, Blesson Varghese:
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning. - Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Iván Higuera Mendieta, Jamie Larson, Rayid Ghani:
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions. - Maxence Dutreix, Jeongmin Huh, Samuel Coogan:
Abstraction-based Synthesis for Stochastic Systems with Omega-Regular Objectives. - Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, Tucker Hermans:
Multi-Fingered Grasp Planning via Inference in Deep Neural Networks. - Andrei Lihu, Jincheng Du, Igor Barjaktarevic, Patrick Gerzanics, Mark Harvilla:
A Proof of Useful Work for Artificial Intelligence on the Blockchain. - Elizabeth Polgreen, Ralph Abboud, Daniel Kroening:
CounterExample Guided Neural Synthesis. - Hyun-Jin Park, Patrick Violette, Niranjan Subrahmanya:
Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling. - Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng:
TiFL: A Tier-based Federated Learning System. - Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection. - Haysn Hornbeck:
Fast Cubic Spline Interpolation. - Max Simchowitz, Karan Singh, Elad Hazan:
Improper Learning for Non-Stochastic Control. - Nikita Jaipuria, Shubh Gupta, Praveen Narayanan, Vidya N. Murali:
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation. - Naoki Shibata, Francesco Petrogalli:
SLEEF: A Portable Vectorized Library of C Standard Mathematical Functions. - Yang Zhao, Jun Zhao, Jiawen Kang, Zehang Zhang, Dusit Niyato, Shuyu Shi:
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost. - Mojtaba Vaezi:
Cognitive Radio Networks: An Information Theoretic Perspective. - Hao Guo, Behrooz Makki, Mohamed-Slim Alouini, Tommy Svensson:
A Semi-Linear Approximation of the First-Order Marcum Q-function with Application to Predictor Antenna Systems. - Quan Yu, Jing Ren, Jiyan Zhang, Siyang Liu, Yinjin Fu, Ying Li, Linru Ma, Jian Jing, Wei Zhang:
An Immunology-Inspired Network Security Architecture. - Yong Xiao, Marwan Krunz, Tao Shu:
Multi-operator Network Sharing for Massive IoT. - Zhaokang Chen, Bertram E. Shi:
GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition. - Gavin Rens, Jean-François Raskin:
Learning Non-Markovian Reward Models in MDPs. - Özlem Tugfe Demir, Emil Björnson:
Max-Min Fair Wireless-Powered Cell-Free Massive MIMO for Uncorrelated Rician Fading Channels. - Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba:
Vehicle Scheduling Problem. - S. R. Nandakumar, Bipin Rajendran:
Bio-mimetic Synaptic Plasticity and Learning in a sub-500mV Cu/SiO2/W Memristor. - Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong:
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video. - Wei-Tsung Kao, Tsung-Han Wu, Po-Han Chi, Chun-Cheng Hsieh, Hung-yi Lee:
Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT. - Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation. - Kavya Bhandari, Santosh Fatale, Urvidh Narula, Sharayu Moharir, Manjesh Kumar Hanawal:
Age-of-Information Bandits. - Raphael Köster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo:
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors. - Dengsheng Chen, Jun Li, Kai Xu:
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation. - Yueqin Li, Nengli Lim:
Bayesian optimization for backpropagation in Monte-Carlo tree search. - Taras Kucherenko, Patrik Jonell, Sanne van Waveren, Gustav Eje Henter, Simon Alexanderson, Iolanda Leite, Hedvig Kjellström:
Gesticulator: A framework for semantically-aware speech-driven gesture generation. - Zexin Wang, Vincent Y. F. Tan, Jonathan Scarlett:
Tight Regret Bounds for Noisy Optimization of a Brownian Motion. - (Withdrawn) On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond.
- Michel Krämer:
GeoRocket: A scalable and cloud-based data store for big geospatial files. - Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri:
Intent Classification in Question-Answering Using LSTM Architectures. - Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri, Gianfranco Fedele:
An Analysis of Word2Vec for the Italian Language. - Mattia Lecci, Paolo Testolina, Mattia Rebato, Alberto Testolin, Michele Zorzi:
Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance. - Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty. - Miroslav Bures, Pavel Herout, Bestoun S. Ahmed:
Open-source Defect Injection Benchmark Testbed for the Evaluation of Testing. - Ricardo Legarda-Sáenz, Carlos Brito-Loeza:
Augmented Lagrangian method for a TV-based model for demodulating phase discontinuities. - Amirsina Torfi, Edward A. Fox:
COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records. - Juuso Haavisto, Jukka Riekki:
Interoperable GPU Kernels as Latency Improver for MEC. - Rishabh K. Iyer:
Robust Submodular Minimization with Applications to Cooperative Modeling. - Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese:
On Expansion and Contraction of DL-Lite Knowledge Bases. - Mohammadamin Baniasadi:
Robust Gaussian Joint Source-Channel Coding with a Staircase Distortion-Noise Profile. - Nils Gessert, Alexander Schlaefer:
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs. - John Kanu, Eadom Dessalene, Xiaomin Lin, Cornelia Fermüller, Yiannis Aloimonos:
Following Instructions by Imagining and Reaching Visual Goals. - Liyuan Zheng, Lillian J. Ratliff:
Constrained Upper Confidence Reinforcement Learning. - Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. - Richard Nock, Wilko Henecka:
Boosted and Differentially Private Ensembles of Decision Trees. - Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. - Ning Yu, Zachary Tuttle, Carl Jake Thurnau, Emmanuel Mireku:
AI-Powered GUI Attack and Its Defensive Methods. - Gang Wang:
Scene Text Recognition With Finer Grid Rectification. - Xiang Zhou, Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Regime Switching Bandits. - Chen Wang, Chetan Mishra, Reetam Sen Biswas, Anamitra Pal, Virgilio A. Centeno:
Adaptive LVRT Settings Adjustment for Enhancing Voltage Security of Renewable-Rich Electric Grids. - Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck:
A Lagrangian Dual Framework for Deep Neural Networks with Constraints. - Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu:
Analyzing the Noise Robustness of Deep Neural Networks. - Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher:
Inference in Multi-Layer Networks with Matrix-Valued Unknowns. - Wenbing Dang, Ali Pezeshki, Stephen D. Howard, William Moran, A. Robert Calderbank:
Coordinating Complementary Waveforms for Suppressing Range Sidelobes in a Doppler Band. - Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang:
NLocalSAT: Boosting Local Search with Solution Prediction. - Suraj P. Kesavan, Takanori Fujiwara, Jianping Kelvin Li, Caitlin Ross, Misbah Mubarak, Christopher D. Carothers, Robert B. Ross, Kwan-Liu Ma:
A Visual Analytics Framework for Reviewing Streaming Performance Data. - Yun Fan, Liren Lin:
Dihedral group codes over finite fields. - Abhishek Nan, Anandh Perumal, Osmar R. Zaïane:
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. - Alex H. Barnett:
Aliasing error of the exp(β√(1-z2)) kernel in the nonuniform fast Fourier transform. - Milad Taleby Ahvanooey, Qianmu Li, Mahdi Rabbani, Ahmed Raza Rajput:
A Survey on Smartphones Security: Software Vulnerabilities, Malware, and Attacks. - Han Xiao, Bruno Ordozgoiti, Aristides Gionis:
Searching for polarization in signed graphs: a local spectral approach. - Li Wei, Chongwen Huang, George C. Alexandropoulos, Chau Yuen:
Parallel Factor Decomposition Channel Estimation in RIS-Assisted Multi-User MISO Communication. - Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou:
Curriculum Audiovisual Learning. - Pengfei Zhu, Hai Zhao, Xiaoguang Li:
Dual Multi-head Co-attention for Multi-choice Reading Comprehension. - Yingshi Chen:
LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions. - Xiaowei He, Huamin Wang, Guoping Wang, Hongan Wang, Enhua Wu:
A Variational Staggered Particle Framework for Incompressible Free-Surface Flows. - Caiyi Xu, Jianping Xing, Yafei Ning, Yonghong Chen, Yong Wu:
SDOD: Real-time Segmenting and Detecting 3D Objects by Depth. - Svenja Hüning, Johannes Wallner:
Convergence analysis of subdivision processes on the sphere. - Kirill Poletkin:
Static Pull-in Behavior of Hybrid Levitation Micro-Actuators: Simulation, Modelling and Experimental Study. - Rohit Gupta, Rohit Panda:
Block the blocker: Studying the effects of Anti Ad-blocking. - Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman:
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. - Stefano Costa:
Solving Laplace problems with the AAA algorithm. - Ulrike Barthelmeß, Ulrich Furbach, Claudia Schon:
Consciousness and Automated Reasoning. - Yu Kawano, Fulvio Forni:
Scalable Control Design for K-positive Linear Systems. - Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld:
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks. - Ryuta Matsuno, Aristides Gionis:
Improved mixing time for k-subgraph sampling. - Mucun Tian, Michael D. Ekstrand:
Estimating Error and Bias in Offline Evaluation Results. - Sabrina Kirrane, Javier D. Fernández, Piero A. Bonatti, Uros Milosevic, Axel Polleres, Rigo Wenning:
The SPECIAL-K Personal Data Processing Transparency and Compliance Platform. - Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer:
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective. - Luciano Del Corro, Johannes Hoffart:
Unsupervised Extraction of Market Moving Events with Neural Attention. - Harish K. Venkataraman, Derya Aksaray, Peter Seiler:
Tractable Reinforcement Learning of Signal Temporal Logic Objectives. - Andrea Tortorelli, Alessandro Giuseppi, Federico Lisi, Emanuele De Santis, Francesco Liberati:
Operations Management of Satellite Launch Centers. - Gabriella Pasi, Marco Viviani:
Information Credibility in the Social Web: Contexts, Approaches, and Open Issues. - Shahid Munir Shah, Rizwan Ahmed Khan:
Secondary Use of Electronic Health Record: Opportunities and Challenges. - Masaki Aida, Chisa Takano, Masaki Ogura:
On the fundamental equation of user dynamics and the structure of online social networks. - Cong Bao, Zafeirios Fountas, Temitayo A. Olugbade, Nadia Bianchi-Berthouze:
Multimodal Data Fusion based on the Global Workspace Theory. - Rehana Mahfuz, Rajeev Sahay, Aly El Gamal:
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks. - Linzhuo Li, Lingfei Wu, James Allen Evans:
Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text. - Md Mahmudul Hasan, Shuangqing Wei, Ramachandran Vaidyanathan:
Efficient, Effective and Well Justified Estimation of Active Nodes within a Cluster. - Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel L. Rubin:
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives. - Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé:
An interpretable semi-supervised classifier using two different strategies for amended self-labeling. - Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro:
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. - Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. - Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati:
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. - Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio:
Using Simulated Data to Generate Images of Climate Change. - Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold:
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. - Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs. - Esther S. Daus, Ansgar Jüngel, Antoine Zurek:
Convergence of a finite-volume scheme for a degenerate-singular cross-diffusion system for biofilms. - Chiranjib Sur:
aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption. - Manie Tadayon, Yumi Iwashita:
Comprehensive Analysis of Time Series Forecasting Using Neural Networks. - Michael C. Nwogugu:
Shapley Value Is not Applicable To Network Access Pricing. - Tamal K. Dey, Tianqi Li, Yusu Wang:
An efficient algorithm for 1-dimensional (persistent) path homology. - Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. - Joseph Bakarji:
Machine Learning for a Music Glove Instrument. - Emre Yilmaz, Erman Ayday:
Collusion-Resilient Probabilistic Fingerprinting Scheme for Correlated Data. - Yao Xue, Siming Liu, Yonghui Li, Xueming Qian:
Crowd Scene Analysis by Output Encoding. - Rohan R. Paleja, Matthew C. Gombolay:
Heterogeneous Learning from Demonstration. - Max Simchowitz, Dylan J. Foster:
Naive Exploration is Optimal for Online LQR. - Tong Yang, Jaime Valls Miró, Qianen Lai, Yue Wang, Rong Xiong:
Cellular Decomposition for Non-repetitive Coverage Task with Minimum Discontinuities. - Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. - Golo A. Wimmer, Colin J. Cotter, Werner Bauer:
Energy conserving SUPG methods for compatible finite element schemes in numerical weather prediction. - Kaled M. Alshmrany, Lucas C. Cordeiro:
Finding Security Vulnerabilities in Network Protocol Implementations. - Yunquan Dong:
Distributed Sensing with Orthogonal Multiple Access: To code or not to Code? - Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen:
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. - Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles. - Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath:
Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques. - Timm Faulwasser, Christopher M. Kellett:
On Continuous-Time Infinite Horizon Optimal Control - Dissipativity, Stability and Transversality. - Ruotong Wang, F. Maxwell Harper, Haiyi Zhu:
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences. - Changjian Li:
Some Insights into Lifelong Reinforcement Learning Systems. - Ibrahim Yilmaz:
Practical Fast Gradient Sign Attack against Mammographic Image Classifier. - Jie Chen, Haozhe Huang, Jian Peng, Jiawei Zhu, Li Chen, Wenbo Li, Bingyu Sun, Haifeng Li:
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification. - Irandokht Parviziomran, Shun Cao, Krishnaswami Srihari, Daehan Won:
Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology. - Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. - Melih Elibol, Lihua Lei, Michael I. Jordan:
Variance Reduction with Sparse Gradients. - Jiasi Weng, Jian Weng, Yue Zhang, Ming Li, Zhaodi Wen:
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles. - Michal Bosy, Monica Montardini, Giancarlo Sangalli, Mattia Tani:
A domain decomposition method for Isogeometric multi-patch problems with inexact local solvers. - Yoshiki Higo, Shinpei Hayashi, Hideaki Hata, Meiyappan Nagappan:
Ammonia: An Approach for Deriving Project-specific Bug Patterns. - Meysam Vakili, Mohammad Ghamsari, Masoumeh Rezaei:
Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification. - Angsheng Li:
Structural Information Learning Machinery: Learning from Observing, Associating, Optimizing, Decoding, and Abstracting. - Herbert Schmidt, Silvia Hacia:
Influence of Iron Losses on Switching Dynamics of an Electromagnet from Experiment and Simulation. - Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas J. Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami:
Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks. - Johannes Langguth, Sebastian Schlag, Christian Schulz:
Load-Balanced Bottleneck Objectives in Process Mapping. - Stefan Ciobaca, Dorel Lucanu, Andrei-Sebastian Buruiana:
Operationally-based Program Equivalence Proofs using LCTRSs. - Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
The Whole Is Greater Than the Sum of Its Nonrigid Parts. - Catuscia Palamidessi, Marco Romanelli:
Feature selection in machine learning: Rényi min-entropy vs Shannon entropy. - Frank Nielsen:
A generalization of the α-divergences based on comparable and distinct weighted means. - Rafael Pereira Pires:
Distributed systems and trusted execution environments: Trade-offs and challenges. - Sadaf Gulshad, Arnold W. M. Smeulders:
Explaining with Counter Visual Attributes and Examples. - Johann Knechtel, Elif Bilge Kavun, Francesco Regazzoni, Annelie Heuser, Anupam Chattopadhyay, Debdeep Mukhopadhyay, Soumyajit Dey, Yunsi Fei, Yaacov Belenky, Itamar Levi, Tim Güneysu, Patrick Schaumont, Ilia Polian:
Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDA. - Idris Badmus, Abdelquoddouss Laghrissi, Marja Matinmikko-Blue, Ari Pouttu:
Identifying Requirements Affecting Latency in a Softwarized Network for Future 5G and Beyond. - Qiwei Xie, Qian Long, Liming Zhang, Zhao Sun:
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle. - Jihong Park, Sumudu Samarakoon, Hamid Shiri, Mohamed K. Abdel-Aziz, Takayuki Nishio, Anis Elgabli, Mehdi Bennis:
Extreme URLLC: Vision, Challenges, and Key Enablers. - Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala I. Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato:
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning. - Ziv Aharoni, Oron Sabag, Haim Henri Permuter:
Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning. - Stefan Kurz, Sebastian Schöps, Gerhard Unger, Felix Wolf:
Solving Maxwell's Eigenvalue Problem via Isogeometric Boundary Elements and a Contour Integral Method. - Daniel Appelö, Thomas M. Hagstrom, Qi Wang, Lu Zhang:
An energy-based discontinuous Galerkin method for semilinear wave equations. - Jonathan Munro, Dima Damen:
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. - Zhuosheng Zhang, Junjie Yang, Hai Zhao:
Retrospective Reader for Machine Reading Comprehension. - María Castrillo, Álvaro López García:
Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods. - Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. - Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew T. W. Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard J. B. Dobson, Zina M. Ibrahim:
The side effect profile of Clozapine in real world data of three large mental hospitals. - Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten:
DP-CGAN: Differentially Private Synthetic Data and Label Generation. - Varsha Balakrishnan:
Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research. - Valentina Breschi, Mara Tanelli, Chiara Ravazzi, Silvia Carla Strada, Fabrizio Dabbene:
Social network analysis of electric vehicles adoption: a data-based approach. - Bernhard Gleiss, Martin Suda:
Layered Clause Selection for Theory Reasoning. - Dimitri Staessens, Sander Vrijders:
Design of the Ouroboros packet network. - Emmanuel Gunther, Miguel Pagano, Pedro Sánchez Terraf:
Formalization of Forcing in Isabelle/ZF. - Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh:
Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'. - Abinand Nallathambi, Nitin Chandrachoodan:
Probabilistic spike propagation for FPGA implementation of spiking neural networks. - Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. - Si Miao, Yongxin Zhu:
Handling noise in image deblurring via joint learning. - Kacper Sokol, Peter A. Flach:
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency. - Daniyal Liaqat, Robert Wu, Salaar Liaqat, Eyal de Lara, Andrea Gershon, Frank Rudzicz:
The Ground Truth Trade-Off in Wearable Sensing Studies. - Hoda Sedighi:
Classification of human activity recognition using smartphones. - Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson:
Can an Algorithm be My Healthcare Proxy? - Tam N. Nguyen:
Understanding Our People at Scale. - (Withdrawn) Constraints and Benefits of the Blockchain Use for Real Estate and Property Rights.
- Nuno A. C. Henriques, Helder Coelho, Leonel Garcia-Marques:
SensAI+Expanse Emotional Valence Prediction Studies with Cognition and Memory Integration. - Dirk Hartmann, Herman Van der Auweraer:
Digital Twins. - Patrick Schwab, Walter Karlen:
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. - Richard Benjamins, Idoia Salazar:
Towards a framework for understanding societal and ethical implications of Artificial Intelligence. - Jianfei Cui, Dianbo Liu:
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records. - Weiwen Leung, Zheng Zhang, Daviti Jibuti, Jinhao Zhao, Maximilian Klein, Casey Pierce, Lionel Robert, Haiyi Zhu:
Race, Gender and Beauty: The Effect of Information Provision on Online Hiring Biases. - Alarith Uhde, Nadine Schlicker, Dieter Wallach, Marc Hassenzahl:
Fairness and Decision-making in Collaborative Shift Scheduling Systems. - Richard Benjamins:
Towards organizational guidelines for the responsible use of AI. - Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Bias in Data-driven AI Systems - An Introductory Survey. - Antonio Bucchiarone, Sandro Battisti, Annapaola Marconi, Roberto Maldacea, Diego Cardona Ponce:
Autonomous Shuttle-as-a-Service (ASaaS): Challenges, Opportunities, and Social Implications. - Yigit Alparslan, Ioanna Panagiotou, Willow Livengood, Robert Kane, Andrew Cohen:
Perfecting the Crime Machine. - Benjamin Birnbaum, Nathan Nussbaum, Katharina Seidl-Rathkopf, Monica Agrawal, Melissa Estevez, Evan Estola, Joshua Haimson, Lucy He, Peter Larson, Paul Richardson:
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research. - Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong:
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. - Iason Gabriel:
Artificial Intelligence, Values and Alignment. - Sidra Mehtab, Jaydip Sen:
Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries. - Gérald Rocher, Jean-Yves Tigli, Stéphane Lavirotte, Nhan Le Thanh:
Overview and Challenges of Ambient Systems, Towards a Constructivist Approach to their Modelling. - Justin Domke:
Moment-Matching Conditions for Exponential Families with Conditioning or Hidden Data. - Sina Fazelpour, Zachary C. Lipton:
Algorithmic Fairness from a Non-ideal Perspective. - Emilio Gómez-González, Emilia Gómez, Javier Márquez-Rivas, Manuel Guerrero-Claro, Isabel Fernández-Lizaranzu, María Isabel Relimpio-López, Manuel E. Dorado, María José Mayorga-Buiza, Guillermo Izquierdo-Ayuso, Luis Capitán-Morales:
Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact. - Tien-Dung Cao, Tram Truong Huu, Hien Duy Tran, Khanh Tran:
A Federated Learning Framework for Privacy-preserving and Parallel Training. - Priyank Faldu, Jeff Diamond, Boris Grot:
Domain-Specialized Cache Management for Graph Analytics. - Dana Pessach, Erez Shmueli:
Algorithmic Fairness. - Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Ranveer Chandra:
Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges. - Grygoriy Zholtkevych, Maksym Labzhaniia:
Understanding Safety Constraints Coalgebraically. - Alexander Hirsch, Peter Thoman:
Running on Raygun. - Mahdi Bohlouli, Patrick Uhr, Fabian Merges, Sanaz Mohammad Hassani, Madjid Fathi:
Practical Approach of Knowledge Management in Medical Science. - Mahdi Bohlouli, Alexander Holland, Madjid Fathi:
Knowledge Integration of Collaborative Product Design Using Cloud Computing Infrastructure. - Mahdi Bohlouli, Nikolaos Mittas, George Kakarontzas, Theodosios Theodosiou, Lefteris Angelis, Madjid Fathi:
Competence Assessment as an Expert System for Human Resource Management: A Mathematical Approach. - Antonios Katsarakis, Vasilis Gavrielatos, M. R. Siavash Katebzadeh, Arpit Joshi, Aleksandar Dragojevic, Boris Grot, Vijay Nagarajan:
Hermes: a Fast, Fault-Tolerant and Linearizable Replication Protocol. - Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun, Bo Cheng:
Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data. - Qin Li, Meiling Yue, Xuefeng Liu:
Guaranteed Lower Eigenvalue Bound of Steklov Operator with Conforming Finite Element Methods. - Ming-Chang Lee, Jia-Chun Lin:
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. - Andrew P. Brna, Ryan C. Brown, Patrick M. Connolly, Stephen B. Simons, Renee E. Shimizu, Mario Aguilar-Simon:
Uncertainty-based Modulation for Lifelong Learning. - Danish Sattar, Ashraf Matrawy:
Proactive Allocation as Defense for Malicious Co-residency in Sliced 5G Core Networks. - Manikandan Ravikiran:
What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review. - Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jérémy Rapin, Baptiste Rozière, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko:
Polygames: Improved Zero Learning. - Fatimah Aljaafari, Lucas C. Cordeiro, Mustafa A. Mustafa:
Verifying Software Vulnerabilities in IoT Cryptographic Protocols. - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris:
Maximum Nash Welfare and Other Stories About EFX. - David Yevick:
Electric Field Propagation Through Singular Value Decomposition. - Yuqing Hu, Vincent Gripon, Stéphane Pateux:
Exploiting Unsupervised Inputs for Accurate Few-Shot Classification. - Weifeng Zhao, Juntao Huang, Steven J. Ruuth:
Boundary treatment of high order Runge-Kutta methods for hyperbolic conservation laws. - Franco Peschiera, Olga Battaïa, Alain Haït, Nicolas Dupin:
Long term planning of military aircraft flight and maintenance operations. - Ahmed M. Bedewy, Yin Sun, Sastry Kompella, Ness B. Shroff:
Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks. - Gösta Grahne, Alex Thomo:
Provenance for Regular Path Queries. - Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray:
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. - Benjamin J. Civiletti, Akhlesh Lakhtakia, Peter B. Monk:
Analysis of the Rigorous Coupled Wave Approach for p-polarized light in gratings. - Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier:
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. - Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala:
Towards Quantifying the Distance between Opinions. - Tittu Varghese Mathew, P. Prajith, Rafael O. Ruiz, Elena Atroshchenko, S. Natarajan:
Adaptive Importance Sampling based Neural Network framework for Reliability and Sensitivity Prediction for Variable Stiffness Composite Laminates with hybrid uncertainties. - Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström, Carl Henrik Ek:
Bayesian nonparametric shared multi-sequence time series segmentation. - Antti Aitio, Scott G. Marquis, Pedro Ascencio, David A. Howey:
Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics. - Amir Jalilifard, Vinicius Fernandes Caridá, Alex Mansano, Rogers Cristo:
Semantic Sensitive TF-IDF to Determine Word Relevance in Documents. - Ranjana Roy Chowdhury, Soumi Chattopadhyay, Chandranath Adak:
CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering. - Tianjun Hou, Bernard Yannou, Yann Leroy, Emilie Poirson:
Mining Changes in User Expectation Over Time From Online Reviews. - Juan Manuel Ortiz de Zarate, Esteban Feuerstein:
Vocabulary-based Method for Quantifying Controversy in Social Media. - Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. - Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang:
Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach. - Barry Haddow, Faheem Kirefu:
PMIndia - A Collection of Parallel Corpora of Languages of India. - Chang Ye, Ahmed Khalifa, Philip Bontrager, Julian Togelius:
Rotation, Translation, and Cropping for Zero-Shot Generalization. - Coulter Beeson, F. Bruce Shepherd:
The Empirical Core of the Multicommodity Flow Game Without Side Payments. - Sudhakar Kumawat, Shanmuganathan Raman:
Depthwise-STFT based separable Convolutional Neural Networks. - Najla Akram Al-Saati:
Applying Gene Expression Programming for Solving One-Dimensional Bin-Packing Problems. - Najla Akram Al-Saati, Marwa Abd-AlKareem Alabajee:
Selecting Best Software Reliability Growth Models: A Social Spider Algorithm based Approach. - Zachary Eberhart, Aakash Bansal, Collin McMillan:
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant. - Sheela Ramanna, Cenker Sengoz, Scott Kehler, Dat Pham:
Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks. - Dale McConachie, Andrew Dobson, Mengyao Ruan, Dmitry Berenson:
Manipulating Deformable Objects by Interleaving Prediction, Planning, and Control. - Martin Genzel, Maximilian März, Robert Seidel:
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery. - Minje Choi, Luca Maria Aiello, Krisztián Zsolt Varga, Daniele Quercia:
Ten Social Dimensions of Conversations and Relationships. - Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier:
The Effects of Gender Signals and Performance in Online Product Reviews. - Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences. - Yisel Gari, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino:
Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey. - Hui-Ju Hung, Wang-Chien Lee, De-Nian Yang, Chih-Ya Shen, Zhen Lei, Sy-Miin Chow:
Efficient Algorithms towards Network Intervention. - Vinoth Pandian Sermuga Pandian, Sarah Suleri:
NASA-TLX Web App: An Online Tool to Analyse Subjective Workload. - Mikhail A. Raskin, Chana Weil-Kennedy:
On the Flatness of Immediate Observation Petri Nets. - Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone:
On the quality of matching-based aggregates for algebraic coarsening of SPD matrices in AMG. - Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus:
Optimal Selective Encoding for Timely Updates. - Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le:
Towards a Human-like Open-Domain Chatbot. - Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran:
Control Synthesis for Cyber-Physical Systems to Satisfy Metric Interval Temporal Logic Objectives under Timing and Actuator Attacks. - Roxanna Pakkar, Caitlyn Clabaugh, Rhianna Lee, Eric Deng, Maja J. Mataric:
Designing a Socially Assistive Robot for Long-Term In-Home Use for Children with Autism Spectrum Disorders. - Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer:
Accelerating Transient Fault Injection Campaigns by using Dynamic HDL Slicing. - Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based music emotion prediction using triplet neural networks. - Kin Wai Cheuk, Kat Agres, Dorien Herremans:
The impact of Audio input representations on neural network based music transcription. - Anuj Vaishnav, Khoa Dang Pham, Joseph Powell, Dirk Koch:
FOS: A Modular FPGA Operating System for Dynamic Workloads. - Stella Bitchebe, Djob Mvondo, Alain Tchana, Laurent Réveillère, Noël De Palma:
Intel Page Modification Logging, a hardware virtualization feature: study and improvement for virtual machine working set estimation. - Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty:
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. - Pirmin Lemberger, Ivan Panico:
A Primer on Domain Adaptation. - Richard Uhrie, Chaitali Chakrabarti, John S. Brunhaver:
Automated Parallel Kernel Extraction from Dynamic Application Traces. - Molei Tao, Tomoki Ohsawa:
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems. - Elvira Albert, Miguel Gómez-Zamalloa, Miguel Isabel, Albert Rubio, Matteo Sammartino, Alexandra Silva:
Actor-Based Model Checking for SDN Networks. - Dylan Hyatt-Denesik, Mirmahdi Rahgoshay, Mohammad R. Salavatipour:
Approximations for Throughput Maximization. - Davi A. Nobre, José F. Fontanari:
Prediction diversity and selective attention in the wisdom of crowds. - Yiwei Sun, Shabnam Ghaffarzadegan:
An Ontology-Aware Framework for Audio Event Classification. - Marquita Ellis, Giulia Guidi, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
diBELLA: Distributed Long Read to Long Read Alignment. - Hongkai Zhao, Yimin Zhong:
A fast algorithm for time-dependent radiative transport equation based on integral formulation. - Joydeep Mitra, Venkatesh-Prasad Ranganath:
SeMA: Extending and Analyzing Storyboards to Develop Secure Android Apps. - Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. - Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari:
Ballooning Multi-Armed Bandits. - Markus Quade, Thomas Isele, Markus Abel:
Explainable Machine Learning Control - robust control and stability analysis. - Luis A. Mateos, Markus Vincze:
In-pipe Robotic System for Pipe-joint Rehabilitation in Fresh Water Pipes. - Caio C. V. da Silva, Keiller Nogueira, Hugo N. Oliveira, Jefersson A. dos Santos:
Towards Open-Set Semantic Segmentation of Aerial Images. - Deyin Liu, Lin Wu, Xue Li:
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks. - Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan:
Non-Parametric Learning of Lifted Restricted Boltzmann Machines. - Lucas Emanuel Silva e Oliveira, Ana Carolina Peters, Adalniza Moura Pucca da Silva, Caroline P. Gebeluca, Yohan Bonescki Gumiel, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid A. Hasan, Claudia Maria Cabral Moro:
SemClinBr - a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks. - Lance Rice, Samual Tate, David Farynyk, Joshua Sun, Greg Chism, Daniel Charbonneau, Thomas Fasciano, Anna R. Dornhaus, Min C. Shin:
ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects. - Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri:
LIBTwinSVM: A Library for Twin Support Vector Machines. - Carlos Parés, Carlos Parés-Pulido:
Well-balanced high-order finite difference methods for systems of balance laws. - Jiehua Chen, Robert Ganian, Thekla Hamm:
Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP. - Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey:
Deep NRSfM++: Towards 3D Reconstruction in the Wild. - Silviu Pitis, Michael R. Zhang:
Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. - Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski:
Multi-label Prediction in Time Series Data using Deep Neural Networks. - Mine Akbas, Leo G. Rebholz:
Modular grad-div stabilization for multiphysics flow problems. - Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. - Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic:
Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. - Sebastian Grimberg, Charbel Farhat, Noah Youkilis:
On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows. - Augusto C. Valente, Cristina Wada, Deangela Neves, Deangeli Neves, Fábio V. M. Perez, Guilherme A. S. Megeto, Marcos H. Cascone, Otavio Gomes, Qian Lin:
Print Defect Mapping with Semantic Segmentation. - Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Leveraging Schema Labels to Enhance Dataset Search. - Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander:
Canadian Adverse Driving Conditions Dataset. - Chenghui Zhou, Chun-Liang Li, Barnabás Póczos:
Unsupervised Program Synthesis for Images using Tree-Structured LSTM. - Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar:
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems. - Mohammad Khajenejad, Sze Zheng Yong:
Simultaneous State and Unknown Input Set-Valued Observers for Nonlinear Dynamical Systems. - Alex Cummaudo, Rajesh Vasa, Scott Barnett, John C. Grundy, Mohamed Abdelrazek:
Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow. - Xiaodan Shao, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang:
Joint Activity Detection and Channel Estimation for mmW/THz Wideband Massive Access. - Ping Xu, Yue Wang, Xiang Chen, Tian Zhi:
COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning. - Lan V. Truong, Jonathan Scarlett:
On the All-Or-Nothing Behavior of Bernoulli Group Testing. - Silvano Colombo Tosatto, Guido Governatori, Nick van Beest:
Business Process Full Compliance with Respect to a Set of Conditional Obligation in Polynomial Time. - Di Wang, Jan Hoffmann, Thomas W. Reps:
Tail Bound Analysis for Probabilistic Programs via Central Moments. - Junyu Chen, Eric C. Frey:
An Unsupervised Learning Model for Medical Image Segmentation. - Jason D. Hartline, Aleck C. Johnsen, Yingkai Li:
Benchmark Design and Prior-independent Optimization. - Junwen Luo, Jiaoyan Chen:
An Internal Clock Based Space-time Neural Network for Motion Speed Recognition. - Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Characterizing and Understanding GCNs on GPU. - Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl:
Bringing Stories Alive: Generating Interactive Fiction Worlds. - Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal:
Real-time trajectory planning for automated vehicle safety and performance in dynamic environments. - Sanjeev Singh, Rakesh Kumar Jha:
A Survey on Software Defined Networking: Architecture for Next Generation Network. - Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. - Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya:
A Deep Neural Framework for Contextual Affect Detection. - Si Ying Tan, Araz Taeihagh:
Smart City Governance in Developing Countries: A Systematic Literature Review. - Daiki Hirano, Kumiko Tanaka-Ishii, Andrew M. Finch:
Extraction of Templates from Phrases Using Sequence Binary Decision Diagrams. - Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. - Baohua Sun, Lin Yang, Hao Sha, Michael Lin:
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device. - Shimin Gong, Yuze Zou, Dinh Thai Hoang, Jing Xu, Wenqing Cheng, Dusit Niyato:
Capitalizing Backscatter-Aided Hybrid Relay Communications with Wireless Energy Harvesting. - Shimin Gong, Yutong Xie, Jing Xu, Dusit Niyato, Ying-Chang Liang:
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing. - Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. - Tomohiko Nakamura, Hiroshi Saruwatari:
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. - Sascha Kurz, Issofa Moyouwou, Hilaire Touyem:
Axiomatizations for the Shapley-Shubik power index for games with several levels of approval in the input and output. - Yong Xiao, Marwan Krunz:
Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet. - Xi Zheng, Sheng Zhou, Zhisheng Niu:
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems. - Liu Ying:
The Complexity of Contracting Planar Tensor Network. - Yichuan Charlie Tang:
Towards Learning Multi-agent Negotiations via Self-Play. - Bernhard Gleiss, Laura Kovács, Jakob Rath:
Subsumption Demodulation in First-Order Theorem Proving. - Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt:
Learning to Catch Piglets in Flight. - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia:
BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks. - Loi Do, Ivo Herman, Zdenek Hurák:
Onboard Model-based Prediction of Tram Braking Distance. - Jialin Dong, Jun Zhang, Yuanming Shi, Jessie Hui Wang:
Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach. - Antoine Plumerault, Hervé Le Borgne, Céline Hudelot:
Controlling generative models with continuous factors of variations. - Pablo R. Baldivieso Monasterios, Paul A. Trodden:
Coalitional predictive control: consensus-based coalition forming with robust regulation. - Yao Zhao, Bo Zhou, Walid Saad, Xiliang Luo:
Age of Information Analysis for Dynamic Spectrum Sharing. - Tobias Urban, Martin Degeling, Thorsten Holz, Norbert Pohlmann:
Beyond the Front Page: Measuring Third Party Dynamics in the Field. - Milad Ramezani, Georgi Tinchev, Egor Iuganov, Maurice F. Fallon:
Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure. - Blagoj Mitrevski, Tiziano Piccardi, Robert West:
WikiHist.html: English Wikipedia's Full Revision History in HTML Format. - Qian Liu, Long Shi, Linlin Sun, Jun Li, Ming Ding, Feng Shu:
Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning. - Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal query in observational data with hidden variables. - Dominic Orchard, Philip Wadler, Harley Eades III:
Unifying graded and parameterised monads. 18-38 - Long Li, Jiansheng Yang, Bo Zhang, Haiwen Zhang:
Imaging of buried obstacles in a two-layered medium with phaseless far-field data. - Christopher Klinkmüller, Ingo Weber, Alexander Ponomarev, An Binh Tran, Wil M. P. van der Aalst:
Efficient Logging for Blockchain Applications. - Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere:
Distal Explanations for Explainable Reinforcement Learning Agents. - Rion Brattig Correia, Ian B. Wood, Johan Bollen, Luis M. Rocha:
Mining social media data for biomedical signals and health-related behavior. - Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi, Emilio Ferrara:
Charting the Landscape of Online Cryptocurrency Manipulation. - Markus Püschel, Chris Wendler:
Discrete Signal Processing with Set Functions. - Yong Xiao, Mohammed Hirzallah, Marwan Krunz:
Distributed Resource Allocation for Network Slicing over Licensed and Unlicensed Bands. - Maike Buchin, Nicole Funk, Amer Krivosija:
On the complexity of the middle curve problem. - Yong Xiao, Marwan Krunz:
Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting. - Zohair Raza Hassan, Mudassir Shabbir, Imdadullah Khan, Waseem Abbas:
Estimating Descriptors for Large Graphs. - Hamid Nasiri, Saeed Nasehi, Arman Divband, Maziar Goudarzi:
A Scheduling Algorithm to Maximize Storm Throughput in Heterogeneous Cluster. - Sandra Lagén, Kevin Wanuga, Hussain Elkotby, Sanjay Goyal, Natale Patriciello, Lorenza Giupponi:
New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks. - Nikolaos Nikolaou, Henry W. J. Reeve, Gavin Brown:
Margin Maximization as Lossless Maximal Compression. - Bowen Yi, Romeo Ortega, Ian R. Manchester, Houria Siguerdidjane:
Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization. - Friedemann Kemm, Elena Gaburro, Ferdinand Thein, Michael Dumbser:
A simple diffuse interface approach for compressible flows around moving solids of arbitrary shape based on a reduced Baer-Nunziato model. - Inzemamul Haque, Deepak D'Souza, Habeeb P, Arnab Kundu, Ganesh Babu:
Verification of a Generative Separation Kernel. - Nikolai Bode:
Parameter Calibration in Crowd Simulation Models using Approximate Bayesian Computation. - Konstantin Sofiiuk, Ilia A. Petrov, Olga Barinova, Anton Konushin:
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation. - Mamatha Thota, Stefanos D. Kollias, Mark Swainson, Georgios Leontidis:
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging. - Guillaume Cabanac, Ingo Frommholz, Philipp Mayr:
Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition. - Thomas Orth, Michael Bloodgood:
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. - Wei Pang:
Short Text Classification via Term Graph. - Ramchandra Joshi, Purvi Goel, Raviraj Joshi:
Deep Learning for Hindi Text Classification: A Comparison. - Huanrui Luo, Ning Yang, Philip S. Yu:
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. - Pratikkumar Prajapati:
Predictive analysis of Bitcoin price considering social sentiments. - Kirk M. Soodhalter, Eric de Sturler, Misha E. Kilmer:
A survey of subspace recycling iterative methods. - Yang Li, Chunling Wang, Guoqing Li, Jinlong Wang, Dongbo Zhao, Chen Chen:
Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings. - David Noever:
The Enron Corpus: Where the Email Bodies are Buried? - Amit Kumar, Manohar Madanu, Hari Prakash, Lalitha Jonnavithula, Srinivasa Rao Aravilli:
Advaita: Bug Duplicity Detection System. - Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. - Qianyu Guo, Jianzhong Qi:
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation. - Qadri Mishael, Aladdin Ayesh:
Investigating Classification Techniques with Feature Selection For Intention Mining From Twitter Feed. - Jaya Prakash Champati, Mikael Skoglund, James Gross:
Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off. - Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. - Siddhartha Banerjee, Angel Andres Daruna, David Kent, Weiyu Liu, Jonathan C. Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav Srikanth, Sonia Chernova:
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks. - Fernando Rosas, Pedro A. M. Mediano, Borzoo Rassouli, Adam B. Barrett:
An operational information decomposition via synergistic disclosure. - Bonifaz Stuhr, Jürgen Brauer:
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning. - Jonathan Tuck, Stephen P. Boyd:
Eigen-Stratified Models. - Alvarado Moreno, Jose David, Delgadillo Romero, Kevin Andrey, Galvis Reyna, David Enrique, Poblador Parra, Gustavo Alonso, Rodríguez Cortés, César Alejandro:
Diseño de un controlador de ángulo en un balancín. - Zekarias T. Kefato, Sarunas Girdzijauskas:
Graph Neighborhood Attentive Pooling. - David Janz, David R. Burt, Javier González:
Bandit optimisation of functions in the Matérn kernel RKHS. - Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
QActor: On-line Active Learning for Noisy Labeled Stream Data. - Mohammad Mohammadi Amiri, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor:
Update Aware Device Scheduling for Federated Learning at the Wireless Edge. - Stefano Calzavara, Riccardo Focardi, Niklas Grimm, Matteo Maffei, Mauro Tempesta:
Language-Based Web Session Integrity. - Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão:
OPFython: A Python-Inspired Optimum-Path Forest Classifier. - Stefano Cipolla, Fabio Durastante, Francesco Tudisco:
Nonlocal PageRank. - Arber Zela, Julien Siems, Frank Hutter:
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search. - Carola Kruse, Masha Sosonkina, Mario Arioli, Nicolas Tardieu, Ulrich Rüde:
Parallel solution of saddle point systems with nested iterative solvers based on the Golub-Kahan Bidiagonalization. - Seyed Amir Tafrishi, Mikhail M. Svinin, Motoji Yamamoto:
Singularity-Free Inverse Dynamics for Underactuated Systems with a Rotating Mass. - Etai Littwin, Lior Wolf:
Residual Tangent Kernels. - Nikos Fotiou, Iakovos Pittaras, Vasilios A. Siris, Spyros Voulgaris, George C. Polyzos:
OAuth 2.0 authorization using blockchain-based tokens. - Ruth Stock-Homburg, Jan Peters, Katharina Schneider, Vignesh Prasad, Lejla Nukovic:
Evaluation of the Handshake Turing Test for anthropomorphic Robots. - Firas Kassawat, Debanjan Chaudhuri, Jens Lehmann:
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning. - Yiqun Wang, Jing Ren, Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka:
MGCN: Descriptor Learning using Multiscale GCNs. - Modjtaba Shokrian Zini:
Parameter Sharing in Coagent Networks. - David Sigtermans:
A Partial Information Decomposition Based on Causal Tensors. - Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. - Cheng Yang, Gene Cheung, Wei Hu:
Fast Graph Metric Learning via Gershgorin Disc Alignment. - Ali Ahmadi Dastjerdi, Niranjan Saikumar, Duarte Valério, S. Hassan HosseinNia:
Closed-loop frequency analyses of reset systems. - Sebastian Ullrich, Leonardo de Moura:
Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages. - Feiyang Cai, Xenofon D. Koutsoukos:
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems. - Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain:
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information. - Stefan Walzer:
Peeling Close to the Orientability Threshold: Spatial Coupling in Hashing-Based Data Structures. - Maike Buchin, Amer Krivosija, Alexander Neuhaus:
Computing the Fréchet distance of trees and graphs of bounded tree width. - Jaka Sircelj, Tim Oblak, Klemen Grm, Uros Petkovic, Ales Jaklic, Peter Peer, Vitomir Struc, Franc Solina:
Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks. - Ashkan Haji Hosseinloo, Alexander Ryzhov, Aldo Bischi, Henni Ouerdane, Konstantin S. Turitsyn, Munther A. Dahleh:
Data-driven control of micro-climate in buildings; an event-triggered reinforcement learning approach. - Benedict Dingfelder, Florian J. Hindenlang:
A locally field-aligned discontinuous Galerkin method for anisotropic wave equations. - Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer:
MSE-Optimal Neural Network Initialization via Layer Fusion. - Maximiliano Cristiá, Gianfranco Rossi:
Automated Proof of Bell-LaPadula Security Properties. - Hao Xu, Shengqi Sang, Haiping Lu:
Tri-graph Information Propagation for Polypharmacy Side Effect Prediction. - Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger:
Identifying Mislabeled Data using the Area Under the Margin Ranking. - Philip E. Pare, Damir Vrabac, Henrik Sandberg, Karl Henrik Johansson:
Analysis, Online Estimation, and Validation of a Competing Virus Model. - Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann:
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability. - Meng He, Serikzhan Kazi:
Path Query Data Structures in Practice. - Seyed Alireza Razavi:
Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method. - Luca Luceri, Silvia Giordano, Emilio Ferrara:
Don't Feed the Troll: Detecting Troll Behavior via Inverse Reinforcement Learning. - Yutao Han, Rina Tse, Mark E. Campbell:
Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points. - Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Stancioli Vaz de Melo, Oana Goga, Fabrício Benevenuto:
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook. - Duygu Sap, Daniel P. Szabo:
An Automated Approach for the Discovery of Interoperability. - Mahdi H. Miraz, Maaruf Ali:
Blockchain Enabled Smart Contract Based Applications: Deficiencies with the Software Development Life Cycle Models. - Amir Vatani, Milad Taleby Ahvanooey, Mostafa Rahimi:
An Effective Automatic Image Annotation Model Via Attention Model and Data Equilibrium. - Robert Y. Lewis, Paul-Nicolas Madelaine:
Normalizing Casts and Coercions. - Nicole Immorlica, Sahil Singla, Bo Waggoner:
Prophet Inequalities with Linear Correlations and Augmentations. - Henrik Garde, Nuutti Hyvönen:
Mimicking relative continuum measurements by electrode data in two-dimensional electrical impedance tomography. - Yang Chu, Wayne Luk, Dan Goodman:
Learning Absolute Sound Source Localisation With Limited Supervisions. - Noah J. Apthorpe, Pardis Emami Naeini, Arunesh Mathur, Marshini Chetty, Nick Feamster:
You, Me, and IoT: How Internet-Connected Home Devices Affect Interpersonal Relationships. - Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators. - Alexandre Nadjem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Guillaume Marrel, Benoît Bonte:
Predicting Personalized Academic and Career Roads: First Steps Toward a Multi-Uses Recommender System. - Diana Alvarez-Marin, Karla Saldana Ochoa:
Indexical Cities: Articulating Personal Models of Urban Preference with Geotagged Data. - Manikandan Ravikiran:
Systematic Review of Approaches to Improve Peer Assessment at Scale. - Xiaozhu Meng, Jonathon M. Anderson, John M. Mellor-Crummey, Mark W. Krentel, Barton P. Miller, Srdan Milakovic:
Parallelizing Binary Code Analysis. - Jukka Ruohonen:
A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning. - Gergely Neu, Nikita Zhivotovskiy:
Fast Rates for Online Prediction with Abstention. - Shadi Mohagheghi, Jingying Ma, Francesco Bullo:
Stable and Efficient Structures in Multigroup Network Formation. - Kevin Green, Ross L. Hatton, Jonathan W. Hurst:
Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running. - Andrew K. Hirsch, Pedro H. Azevedo de Amorim, Ethan Cecchetti, Ross Tate, Owen Arden:
First-Order Logic for Flow-Limited Authorization. - Halyun Jeong, Xiaowei Li, Yaniv Plan, Özgür Yilmaz:
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications. - Arunan Sivanathan:
IoT Behavioral Monitoring via Network Traffic Analysis. - Alex Devonport, Mahmoud Khaled, Murat Arcak, Majid Zamani:
PIRK: Scalable Interval Reachability Analysis for High-Dimensional Nonlinear Systems. - Nathan Sime, Cian R. Wilson:
Automatic weak imposition of free slip boundary conditions via Nitsche's method: application to nonlinear problems in geodynamics. - Zihe Wang, Zhide Wei, Jie Zhang:
Bounded Incentives in Manipulating the Probabilistic Serial Rule. - Daniel Nüst, Dirk Eddelbuettel, Dom Bennett, Robrecht Cannoodt, Dav Clark, Gergely Daroczi, Mark Edmondson, Colin Fay, Ellis Hughes, Sean Lopp, Ben Marwick, Heather Nolis, Jacqueline Nolis, Hong Ooi, Karthik Ram, Noam Ross, Lori A. Shepherd, Nitesh Turaga, Craig Willis, Nan Xiao, Charlotte Van Petegem:
The Rockerverse: Packages and Applications for Containerization with R. - Farhad Farokhi, Mohamed Ali Kâafar:
Modelling and Quantifying Membership Information Leakage in Machine Learning. - Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment effect estimation with disentangled latent factors. - Farhad Farokhi:
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance. - Vo Anh Khoa, Pham Truong Hoang Nhan:
Constructing a variational quasi-reversibility method for a Cauchy problem for elliptic equations. - Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette:
The Indian Chefs Process. - Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang:
Interpretable Rumor Detection in Microblogs by Attending to User Interactions. - Shubham D. Sonawani, Ryan Alimo, Renaud Detry, Daniel Jeong, Andrew Hess, Heni Ben Amor:
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks. - Jifei Miao, Kit Ian Kou, Wankai Liu:
Low-rank quaternion tensor completion for recovering color videos and images. - Jifei Miao, Kit Ian Kou:
Quaternion matrix regression for color face recognition. - Dawei Li, Madhava Sarma Vemuri, Umamaheswara Rao Tida:
An Improved Quadrature Voltage-Controlled Oscillator with Through-Silicon-Via Inductor in Three-dimensional Integrated Circuits. - Ruihang Wang, Yuanlong Li, Linsen Dong, Xin Zhou, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng:
Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach. - Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz:
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts. - Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. - Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu:
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. - Yu Liu, Jie Li, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena:
Depth Based Semantic Scene Completion with Position Importance Aware Loss. - Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel:
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks. - Souvik Kundu, Gourav Datta, Peter A. Beerel, Massoud Pedram:
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit. - Lekshmi B. G., Andreas Becher, Klaus Meyer-Wegener:
Query-Sequence Optimization on a Reconfigurable Hardware-Accelerated System. - Yu Cheng, Guangzhi Chen, Xiang-Hua Wang, Shunchuan Yang:
Investigation of Numerical Dispersion with Time Step of The FDTD Methods: Avoiding Erroneous Conclusions. - Andreea Costea, Amy Zhu, Nadia Polikarpova, Ilya Sergey:
Concise Read-Only Specifications for Better Synthesis of Programs with Pointers - Extended Version. - Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian Neural Architecture Search using A Training-Free Performance Metric. - He Chen, Zheng Dong, Jian-Kang Zhang, Branka Vucetic:
Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G. - Sicui Zhang, Laura Genga, Hui Yan, Xudong Lu, Huilong Duan, Uzay Kaymak:
Towards Multi-perspective conformance checking with fuzzy sets. - Mohammad Rowshan, Emanuele Viterbo:
Shifted Pruning for List Decoding of Polar Codes. - Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Extreme Algorithm Selection With Dyadic Feature Representation. - Ming Yin, Yu-Xiang Wang:
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning. - Maximilian Probst Gutenberg, Virginia Vassilevska Williams, Nicole Wein:
New Algorithms and Hardness for Incremental Single-Source Shortest Paths in Directed Graphs. - Aleksandar Jovicic, Gabriela Hug:
Linear State Estimation and Bad Data Detection for Power Systems with RTU and PMU Measurements. - Mustafa A. Kishk, Mohamed-Slim Alouini:
Exploiting Randomly-located Blockages for Large-Scale Deployment of Intelligent Surfaces. - Mohammad Nassar, Eitan Yaakobi:
Array Codes for Functional PIR and Batch Codes. - Naftali Waxman, Sarit Kraus, Noam Hazon:
On Maximizing Egalitarian Value in K-coalitional Hedonic Games. - Yohann Cabon, Naila Murray, Martin Humenberger:
Virtual KITTI 2. - Andre Coelho, Harsimran Singh, Konstantin Kondak, Christian Ott:
Whole-Body Bilateral Teleoperation of a Redundant Aerial Manipulator. - Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath:
Aspect-based Academic Search using Domain-specific KB. - Dima Grigoriev, Vladimir Shpilrain:
RSA and redactable blockchains. - Elena Andreeva, Vladimir V. Arlazarov, Oleg Slavin, Aleksey Mishev:
Comparison of scanned administrative document images. - Dan Barnes, Ingmar Posner:
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. - Nathan Bosch, Jan Bosch:
Software Logging for Machine Learning. - Rustam Tagiew:
Business Negotiation Definition Language. - Frédéric Prost:
The Epistemic Landscape: a Computability Perspective. - Maximilian Probst Gutenberg, Christian Wulff-Nilsen:
Fully-Dynamic All-Pairs Shortest Paths: Improved Worst-Case Time and Space Bounds. - Jérôme Droniou:
Interplay between diffusion anisotropy and mesh skewness in Hybrid High-Order schemes. - Yang Yan, Qiuyan Wang, Chenhuang Wu:
Multisequences with high joint nonlinear complexity from function fields. - Maximilian Probst Gutenberg, Christian Wulff-Nilsen:
Deterministic Algorithms for Decremental Approximate Shortest Paths: Faster and Simpler. - Gopi Kishan:
Reproducibility Challenge NeurIPS 2019 Report on "Competitive Gradient Descent". - Maximilian Probst Gutenberg, Christian Wulff-Nilsen:
Decremental SSSP in Weighted Digraphs: Faster and Against an Adaptive Adversary. - Stefania Bellavia, Gianmarco Gurioli:
Complexity Analysis of a Stochastic Cubic Regularisation Method under Inexact Gradient Evaluations and Dynamic Hessian Accuracy. - Jirí Fink, Martin Loebl, Petra Pelikánová:
A New Arc-Routing Algorithm Applied to Winter Road Maintenance. - Georgios Papoudakis, Stefano V. Albrecht:
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems. - Yutaka Nagashima:
Smart Induction for Isabelle/HOL (System Description). - Qiuyan Wang, Chenhuang Wu, Minghui Yang, Yang Yan:
A kind of quaternary sequences of period 2pmqn and their linear complexity. - Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints. - Zihao Huang, Chao Li, Feng Duan, Qibin Zhao:
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution. - Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Evaluating the Progress of Deep Learning for Visual Relational Concepts. - Sepehr Saadatmand, Mohammadamir Kavousi, Sima Azizi:
The Voltage Regulation of Boost Converters Using Dual Heuristic Programming. - Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor:
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. - Weizhu Bao, Yue Feng, Chunmei Su:
Uniform error bounds of a time-splitting spectral method for the long-time dynamics of the nonlinear Klein-Gordon equation with weak nonlinearity. - Andriy V. Miranskyy, Lei Zhang, Javad Doliskani:
Is Your Quantum Program Bug-Free? - Frances Cooper, David F. Manlove:
Algorithms for new types of fair stable matchings. - Matteo Busi, Job Noorman, Jo Van Bulck, Letterio Galletta, Pierpaolo Degano, Jan Tobias Mühlberg, Frank Piessens:
Provably Secure Isolation for Interruptible Enclaved Execution on Small Microprocessors: Extended Version. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination. - Peter Fenner, Edward O. Pyzer-Knapp:
Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic Encryption. - Donghan Hu, Sang Won Lee:
ScreenTrack: Using a Visual History of a Computer Screen to Retrieve Documents and Web Pages. - Roman P. Pflugfelder, Axel Weissenfeld, Julian Wagner:
On Learning Vehicle Detection in Satellite Video. - Mohammad M. Mansour:
Optimal Augmented-Channel Puncturing for Low-Complexity Soft-Output MIMO Detectors. - Ioannis Papantonis, Vaishak Belle:
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
On the Impact of Phase Shifting Designs on IRS-NOMA. - Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell:
MEMO: A Deep Network for Flexible Combination of Episodic Memories. - William Briguglio, Sherif Saad:
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis. - Samuel Epstein:
Approximations of Kolmogorov Complexity. - Jochen Hinz, Andrzej Jaeschke, Matthias Möller, Cornelis Vuik:
The Role of PDE-Based Parameterization Techniques in Gradient-Based IGA Shape Optimization Applications. - Jason Bernard, Ian McQuillan:
Stochastic L-system Inference from Multiple String Sequence Inputs. - Francesco Pierri, Alessandro Artoni, Stefano Ceri:
HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019. - Juri Opitz, Letitia Parcalabescu, Anette Frank:
AMR Similarity Metrics from Principles. - Yu Chen, Jun He:
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study. - Susanne C. Brenner, Li-Yeng Sung, Winnifried Wollner:
Finite Element Methods for One Dimensional Elliptic Distributed Optimal Control Problems with Pointwise Constraints on the Derivative of the State. - Jeffrey M. Ede, Jonathan J. P. Peters, Jeremy Sloan, Richard Beanland:
Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning. - Xunnian Yang:
Conversion of matrix weighted rational Bézier curves to rational Bézier curves. - T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra:
Exact Blind Community Detection from Signals on Multiple Graphs. - Quan Chen, Jianming Guo, Lei Yang, Xianfeng Liu, Xiaoqian Chen:
Topology Virtualization and Dynamics Shielding Method for LEO Satellite Networks. - Nihar Bendre, Nima Ebadi, Paul Rad:
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model. - Francisco J. Fernández, F. Adrián F. Tojo:
Approximation of Stieltjes ordinary differential equations. - Arjun Punjabi, Jonas Schmid, Aggelos K. Katsaggelos:
Examining the Benefits of Capsule Neural Networks. - Shervan Fekri Ershad:
Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm. - Jing Jiang:
Multimodal Story Generation on Plural Images. - Alex Dytso, Michael Fauß, H. Vincent Poor:
A Class of Lower Bounds for Bayesian Risk with a Bregman Loss. - María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. - Andrew Gordon Wilson:
The Case for Bayesian Deep Learning. - Andrea Franceschini, Nicola Castelletto, Joshua A. White, Hamdi A. Tchelepi:
Algebraic stabilization of a Q1-P0 Lagrangian formulation for frictional contact mechanics with hydraulically active fractures. - Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq:
A4 : Evading Learning-based Adblockers. - Guillaume Allais, Robert Atkey, James Chapman, Conor McBride, James McKinna:
A Type and Scope Safe Universe of Syntaxes with Binding: Their Semantics and Proofs. - Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. - Melih Bastopcu, Sennur Ulukus:
Partial Updates: Losing Information for Freshness. - Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev:
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda. - Artur Strzelecki:
Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China. - Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: Semantic Decoding for Perception and Memory. - Jakob Knollmüller, Torsten A. Enßlin:
Bayesian Reasoning with Deep-Learned Knowledge. - Dale McConachie, Thomas Power, Peter Mitrano, Dmitry Berenson:
Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces. - Isaac Dunn, Tom Melham, Daniel Kroening:
Semantic Adversarial Perturbations using Learnt Representations. - Stephen Mell, Olivia M. Brown, Justin A. Goodwin, Sung-Hyun Son:
Safe Predictors for Enforcing Input-Output Specifications. - Krishnendu Chatterjee, Amir Kafshdar Goharshady, Rasmus Ibsen-Jensen, Andreas Pavlogiannis:
Optimal and Perfectly Parallel Algorithms for On-demand Data-flow Analysis. - Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo:
3D Aggregated Faster R-CNN for General Lesion Detection. - Pawel Ksieniewicz, Pawel Zyblewski:
stream-learn - open-source Python library for difficult data stream batch analysis. - Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. - Elisabeth Larsson, Ulrika Sundin:
An investigation of global radial basis function collocation methods applied to Helmholtz problems. - Mohamad Ballout, Mohammad Tuqan, Daniel C. Asmar, Elie A. Shammas, George E. Sakr:
The benefits of synthetic data for action categorization. - Bei Wang, Jianping An:
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation. - Abdessalam Elhabbash, Assylbek Jumagaliyev, Gordon S. Blair, Yehia Elkhatib:
SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud Applications. - Gezim Sejdiu, Anisa Rula, Jens Lehmann, Hajira Jabeen:
A Scalable Framework for Quality Assessment of RDF Datasets. - Zhecheng Wang, Haoyuan Li, Ram Rajagopal:
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. - Yifeng Gao, Jessica Lin, Constantin Brif:
Ensemble Grammar Induction For Detecting Anomalies in Time Series. - Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil:
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. - Shangtong Zhang, Bo Liu, Shimon Whiteson:
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. - Liang Mi, José Bento:
Multi-Marginal Optimal Transport Defines a Generalized Metric. - Jinho Choi:
Multichannel ALOHA with Exploration Phase. - Zhong Zhou, Isak Czeresnia Etinger, Florian Metze, Alexander G. Hauptmann, Alexander Waibel:
Gun Source and Muzzle Head Detection. - Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo:
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. - Rosaura G. VidalMata, Walter J. Scheirer, Hilde Kuehne:
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. - Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord:
Learning Robust and Multilingual Speech Representations. - Umair Zulfiqar, Victor Sreeram, Xin Du:
Pseudo-optimal Model Order Reduction for Bilinear Systems. - Meredydd Williams, Kelvin K. K. Yao, Jason R. C. Nurse:
Developing an Augmented Reality Tourism App through User-Centred Design (Extended Version). - Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie:
Exploiting Uncertainty in Popularity Prediction of Information Diffusion Cascades Using Self-exciting Point Processes. - Fredy Vides:
Universal Algebraic Controllers and System Identification. - Adria E. Brooks, Bernard C. Lesieutre:
RTO Frequency Regulation Market Clearing Formulations and the Effect of Opportunity Costs on Electricity Prices. - Haim Dubossarsky, Ivan Vulic, Roi Reichart, Anna Korhonen:
Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence. - Yigit Alparslan, Jeremy Keim-Shenk, Shweta Khade, Rachel Greenstadt:
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain. - Jehanzeb H. Chaudhry, Donald J. Estep, Zachary Stevens, Simon J. Tavener:
Error estimation and uncertainty quantification for first time to a threshold value. - Daniel Schoepe, Toby Murray, Andrei Sabelfeld:
VERONICA: Expressive and Precise Concurrent Information Flow Security (Extended Version with Technical Appendices). - Hongjing Zhang, S. S. Ravi, Ian Davidson:
A Graph-Based Approach for Active Learning in Regression. - Amin Hassanzadeh, Amin Rasekh, Stefano Galelli, Mohsen Aghashahi, Riccardo Taormina, Avi Ostfeld, M. Katherine Banks:
A Review of Cybersecurity Incidents in the Water Sector. - (Withdrawn) Adversarial Incremental Learning.
- Siwei Feng, Han Yu:
Multi-Participant Multi-Class Vertical Federated Learning. - Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. - Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Universally Safe Swerve Manoeuvres for Autonomous Driving. - Bo Zhou, Walid Saad:
On the Age of Information in Internet of Things Systems with Correlated Devices. - Wei Li, Mathias Funk, Jasper Eikelboom, Aarnout Brombacher:
Visual Exploration of Movement Relatedness for Multi-species Ecology Analysis. - Zihan Liu, Pascale Fung:
Do We Need Word Order Information for Cross-lingual Sequence Labeling. - Sam Ganzfried:
Fictitious Play Outperforms Counterfactual Regret Minimization. - Rohit Singh, Douglas C. Sicker:
An Analytical Model for Efficient Indoor THz Access Point Deployment. - Mordecai J. Golin, Elfarouk Harb:
Polynomial Time Algorithms for Constructing Optimal Binary AIFV-2 Codes. - George Berry, Antonio D. Sirianni, Ingmar Weber, Jisun An, Michael Macy:
Going beyond accuracy: estimating homophily in social networks using predictions. - Jongmin Yu, Du Yong Kim, Younkwan Lee, Moongu Jeon:
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. - Lulu Pan, Haibin Shao, Mehran Mesbahi, Yugeng Xi, Dewei Li:
Consensus on Matrix-weighted Time-varying Networks. - Jimuyang Zhang, Sanping Zhou, Xin Chang, Fangbin Wan, Jinjun Wang, Yang Wu, Dong Huang:
Multiple Object Tracking by Flowing and Fusing. - Se-eun Yoon, HyungSeok Song, Kijung Shin, Yung Yi:
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction. - Daniel Huang:
Elementary Logic in Linear Space. - Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
2018 Robotic Scene Segmentation Challenge. - Xiuxian Xu, Pei Wang, Xiaozheng Gan, Yaxin Li, Li Zhang, Qing Zhang, Mei Zhou, Yinghui Zhao, Xinwei Li:
Automatic marker-free registration of tree point-cloud data based on rotating projection. - Yuli Zhang, Yeyang He, Shaowen Zhu, Xinhan Di:
The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition. - Andrea Cherubini, Valerio Ortenzi, Akansel Cosgun, Robert Lee, Peter Corke:
Model-free vision-based shaping of deformable plastic materials. - Jayasree Saha, Yuvraj Khanna, Jayanta Mukherjee:
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme. - Shiqi Zheng, Peng Shi, Saeid Nahavandi:
Finite time stabilization for nonlinear systems with unstructured uncertainties. - C. T. Sari, Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks. - Seohyun Kim, Jaedong Hwang, Jeany Son, Bohyung Han:
Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning. - Israel Leyva-Mayorga, Radoslaw Kotaba, Maria Fresia, Petar Popovski:
Wireless Mesh Networking with Devices Equipped with Multi-Connectivity. - Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang:
How Does BN Increase Collapsed Neural Network Filters? - Pamela Fleischmann, Marie Lejeune, Florin Manea, Dirk Nowotka, Michel Rigo:
Reconstructing Words from Right-Bounded-Block Words. - E. O. Asante-Asamani, Andreas Kleefeld, Bruce A. Wade:
A second-order exponential time differencing scheme for non-linear reaction-diffusion systems with dimensional splitting. - Clément Cancès, Benoît Gaudeul:
A convergent entropy diminishing finite volume scheme for a cross-diffusion system. - Tuomo Hiippala, John A. Bateman:
Introducing the diagrammatic mode. - Monika Trimoska, Sorina Ionica, Gilles Dequen:
Parity (XOR) Reasoning for the Index Calculus Attack. - Szilárd Aradi:
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles. - Emiel Hoogeboom, Taco S. Cohen, Jakub M. Tomczak:
Learning Discrete Distributions by Dequantization. - Francesco Patrizi, Carla Manni, Francesca Pelosi, Hendrik Speleers:
Adaptive refinement with locally linearly independent LR B-splines: Theory and applications. - Tuomo Alasalmi, Jaakko Suutala, Heli Koskimäki, Juha Röning:
Better Multi-class Probability Estimates for Small Data Sets. - Yu Li, Zhuoran Shen, Ying Shan:
Fast Video Object Segmentation using the Global Context Module. - Amin Sleimi, Nicolas Sannier, Mehrdad Sabetzadeh, Lionel C. Briand, Marcello Ceci, John Dann:
An Automated Framework for the Extraction of Semantic Legal Metadata from Legal Texts. - Martin Mayr, Mathis Hoffmann, Andreas K. Maier, Vincent Christlein:
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm. - Jakkepalli Pavan Kumar, P. Venkata Subba Reddy:
Algorithmic Aspects of Secure Connected Domination in Graphs. - Lin Xiang, Lei Lei, Symeon Chatzinotas, Björn E. Ottersten, Robert Schober:
Towards Power-Efficient Aerial Communications via Dynamic Multi-UAV Cooperation. - Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell:
Harnessing Code Switching to Transcend the Linguistic Barrier. - Victor Gates:
RTM: Blockchain That Support Revocable Transaction Model. - Mischa Schmidt, Julia Gastinger, Sebastien Nicolas, Anett Schülke:
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. - Francesc Lluís, Pablo Martínez-Nuevo, Martin Bo Møller, Sven Ewan Shepstone:
Sound field reconstruction in rooms: inpainting meets superresolution. - Luigi Brugnano, Felice Iavernaro, Ruili Zhang:
Arbitrarily high-order energy-preserving methods for simulating the gyrocenter dynamics of charged particles. - Ehsan Yaghoubi, Diana Borza, Aruna Kumar, Hugo Proença:
An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks. - Lena Schmidt, Julie Weeds, Julian P. T. Higgins:
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. - Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. - Alfonso White, Daniela M. Romano:
Scalable Psychological Momentum Forecasting in Esports. - Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi:
Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks. - Charles Pillet, Carlo Condo, Valerio Bioglio:
SCAN List Decoding of Polar Codes. - Rhydian Windsor, Amir Jamaludin:
The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction. - Elena Klyachko, Alexey Sorokin, Natalia Krizhanovskaya, Andrew Krizhanovsky, Galina Ryazanskaya:
LowResourceEval-2019: a shared task on morphological analysis for low-resource languages. - Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor:
Which way? Direction-Aware Attributed Graph Embedding. - Matthew Moore, Taylor Walenczyk:
The Hidden Subgroup Problem for Universal Algebras. - Jimut Bahan Pal:
A Deeper Look into Hybrid Images. - Matías Fernando Benedetto, Andrea Borio, F. Kyburg, J. Mollica, Stefano Scialò:
An arbitrary order Mixed Virtual Element formulation for coupled multi-dimensional flow problems. - Dongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation. - Akbar Karimi, Leonardo Rossi, Andrea Prati, Katharina Full:
Adversarial Training for Aspect-Based Sentiment Analysis with BERT. - Jonghyeon Lee, Taewon Kang:
Structure-based Computer Without Using Transistors. - Basit Qureshi, Yasir Javed:
Proceedings of Symposium on Data Mining Applications 2014. - (Withdrawn) Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model.
- Sanja Zivanovic Gonzalez, Pieter Collins, Luca Geretti, Davide Bresolin, Tiziano Villa:
Higher Order Method for Differential Inclusions. - Mustafa Emara, Hesham ElSawy, Gerhard Bauch:
A Spatiotemporal Framework for Information Freshness in IoT Uplink Networks. - Marco Patrignani:
Why Should Anyone use Colours? or, Syntax Highlighting Beyond Code Snippets. - Ioannis Papantonis, Vaishak Belle:
On Constraint Definability in Tractable Probabilistic Models. - Jia Guo, Chenyang Yang:
Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks. - Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva:
Correcting for Selection Bias in Learning-to-rank Systems. - Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen:
FOCUS: Dealing with Label Quality Disparity in Federated Learning. - Mamuku Mokuwe, Michael Burke, Anna Sergeevna Bosman:
Black-Box Saliency Map Generation Using Bayesian Optimisation. - Shan Huang, Xiao Zhou, Sang Chin:
A Study of Pyramid Structure for Code Correction. - Renqin Cai, Qinglei Wang, Chong Wang, Xiaobing Liu:
Learning to Structure Long-term Dependence for Sequential Recommendation. - Steffen Lindner, Daniel Merling, Marco Häberle, Michael Menth:
P4-Protect: 1+1 Path Protection for P4. - Jorge Romero-Hidalgo:
Proposal of a standard of Knowledge Management and Technological Innovation for Mexico. - Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli Suzi Wedemann:
Generación automática de frases literarias en español. - Jean-Valère Cossu, Juan-Manuel Torres-Moreno, Eric SanJuan, Marc El-Bèze:
Intweetive Text Summarization. - Yinuo Guo, Tao Ge, Furu Wei:
Fact-aware Sentence Split and Rephrase with Permutation Invariant Training. - Siddharth Yadav, Tanmoy Chakraborty:
Unsupervised Sentiment Analysis for Code-mixed Data. - Thomas Chaboud, Cédric Pralet, Nicolas Schmidt:
Tackling Air Traffic Conflicts as a Weighted CSP : Experiments with the Lumberjack Method. - Venera Khoromskaia, Boris N. Khoromskij:
Prospects of tensor-based numerical modeling of the collective electrostatic potential in many-particle systems. - Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu:
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos. - Miguel Morin, Matthew Willetts:
Non-Determinism in TensorFlow ResNets. - Ali Asadipour, Kurt Debattista, Alan Chalmers:
Visuohaptic augmented feedback for enhancing motor skills acquisition. - Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang:
Graph Convolution Machine for Context-aware Recommender System. - Helard Becerra Martinez, Mylène C. Q. Farias, Andrew Hines:
NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder. - Dimitrios Kollias, Attila Schulc, Elnar Hajiyev, Stefanos Zafeiriou:
Analysing Affective Behavior in the First ABAW 2020 Competition. - Mouktar Bello:
Asymptotic regime analysis of NOMA uplink networks under QoS delay Constraints. - Thomas Dalgaty, Niccolo Castellani, Damien Querlioz, Elisa Vianello:
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling. - Xianghao Yu, Dongfang Xu, Robert Schober:
Optimal Beamforming for MISO Communications via Intelligent Reflecting Surfaces. - Apurba Das, Seyed-Vahid Sanei-Mehri, Srikanta Tirthapura:
Shared-Memory Parallel Maximal Clique Enumeration from Static and Dynamic Graphs. - Fabian Laakmann, Philipp Petersen:
Efficient Approximation of Solutions of Parametric Linear Transport Equations by ReLU DNNs. - Holger Boche, Christian Deppe:
Computability of the Zero-Error capacity with Kolmogorov Oracle. - Phan-Minh Nguyen, Huy Tuan Pham:
A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks. - Neophytos Charalambides, Hessam Mahdavifar, Alfred O. Hero III:
Numerically Stable Binary Gradient Coding. - Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen:
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. - Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà:
STRIPS Action Discovery. - Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza:
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. - Jonathan Bright, Nahema Marchal, Bharath Ganesh, Stevan Rudinac:
Echo Chambers Exist! (But They're Full of Opposing Views). - Charlie Vanaret:
Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems. - Agustín Alejandro Ortiz Díaz, Fabiano Baldo, Laura Maria Palomino Mariño, Alberto Verdecia-Cabrera:
Fase-AL - Adaptation of Fast Adaptive Stacking of Ensembles for Supporting Active Learning. - Martin Meindlhumer, Astrid Pechstein, Alexander Humer:
Variational inequalities for ferroelectric constitutive modeling. - Max Basescu, Joseph L. Moore:
Direct NMPC for Post-Stall Motion Planning with Fixed-Wing UAVs. - Andrea Fronzetti Colladon, Francesca Grippa:
Brand Intelligence Analytics. - Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Jinyu Li:
Continuous speech separation: dataset and analysis. - Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error. - Munther Abualkibash:
Machine Learning in Network Security Using KNIME Analytics. - Bryan Teague, Zhenyu Liu, Florian Meyer, Andrea Conti, Moe Z. Win:
Peregrine: Network Localization and Navigation with Scalable Inference and Efficient Operation. - Rishabh Singh, José C. Príncipe:
Towards a Kernel based Physical Interpretation of Model Uncertainty. - Samuel Chevalier, Dan Wu:
Dynamic Linepack Depletion Models for Natural Gas Pipeline Networks. - Jana Cavojská, Julian Petrasch, Nicolas J. Lehmann, Agnès Voisard, Peter Böttcher:
Estimating and abstracting the 3D structure of bones using neural networks on X-ray (2D) images. - Melih Bastopcu, Sennur Ulukus:
Who Should Google Scholar Update More Often? - Egor Pushkin:
Theoretical Model and Practical Considerations for Data Lineage Reconstruction. - Erwin de Gelder, Jan-Pieter Paardekooper, Arash Khabbaz Saberi, Hala Elrofai, Olaf Op den Camp, Jeroen Ploeg, Ludwig Friedmann, Bart De Schutter:
Ontology for Scenarios for the Assessment of Automated Vehicles. - Wonjun Lee, Rongjie Lai, Wuchen Li, Stanley J. Osher:
Generalized Unnormalized Optimal Transport and its fast algorithms. - Andrew T. Barker, Andrei Draganescu:
Algebraic multigrid preconditioning of the Hessian in PDE-constrained optimization. - Stefano Ruberto, Valerio Terragni, Jason H. Moore:
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. - Veselin Dobrev, Patrick Knupp, Tzanio V. Kolev, Ketan Mittal, Robert N. Rieben, Vladimir Z. Tomov:
Simulation-Driven Optimization of High-Order Meshes in ALE Hydrodynamics. - Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu:
Adversarial Code Learning for Image Generation. - Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. - Jeremy G. Siek:
Toward a Mechanized Compendium of Gradual Typing. - Linwei Ye, Zhi Liu, Yang Wang:
Dual Convolutional LSTM Network for Referring Image Segmentation. - Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
Routing-Led Placement of VNFs in Arbitrary Networks. - Shuvam Chakraborty, Hesham Mohammed, Dola Saha:
Learning from Peers at the Wireless Edge. - Elad Hazan, Edgar Minasyan:
Faster Projection-free Online Learning. - Xiao Zhang, Dongrui Wu, Lieyun Ding, Hanbin Luo, Chin-Teng Lin, Tzyy-Ping Jung:
Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything. - Luiz Augusto G. Silva, Luis A. B. Kowada, Noraí Romeu Rocco, Maria Emília M. T. Walter:
An algebraic 1.375-approximation algorithm for the Transposition Distance Problem. - (Withdrawn) Analysis of the Bergen-Belsen VR/AR application by means of the Virtual Subjectiveness Model.
- Dong Ma, Yuezhong Wu, Ming Ding, Mahbub Hassan, Wen Hu:
Skin-MIMO: Vibration-based MIMO Communication over Human Skin. - Marcin Przybylko, Michal Skrzypczak:
The Uniform Measure of Simple Regular Sets of Infinite Trees. - Sathyanarayanan N. Aakur, Arunkumar Bagavathi:
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling. - Wenbo Dong, Pravakar Roy, Cheng Peng, Volkan Isler:
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion. - Habib Ammari, Kthim Imeri:
A mathematical and numerical framework for gradient meta-surfaces built upon periodically repeating arrays of Helmholtz resonators. - Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann:
Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits. - Pham Dinh Thanh, Huynh Thi Thanh Binh, Lam Thu Bui:
New mechanism of combination crossover operators in genetic algorithm for solving the traveling salesman problem. - Ivan Reinaldo Meneghini, Marcos Antonio Alves, António Gaspar-Cunha, Frederico Gadelha Guimarães:
Scalable and Customizable Benchmark Problems for Many-Objective Optimization. - Egor Bogomolov, Vladimir Kovalenko, Alberto Bacchelli, Timofey Bryksin:
Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering. - Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Concentration Inequalities for Multinoulli Random Variables. - Stuart Eiffert, He Kong, Navid Pirmarzdashti, Salah Sukkarieh:
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search. - Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon:
Safe Trajectory Tracking in Uncertain Environments. - Qi Wu, Tyson Neuroth, Oleg Igouchkine, Kwan-Liu Ma, Aditya Konduri, Jacqueline H. Chen:
Diva: A Declarative and Reactive Language for In-Situ Visualization. - Oliver Serang:
Optimal selection on X+Y simplified with layer-ordered heaps. - Steven T. Dougherty, Josep Rifà, Mercè Villanueva:
Rank and Kernel of Fp-Additive Generalised Hadamard Codes. - Akkas Uddin Haque, Ahmed Elsaharti, Tarek Elderini, Mohamed Atef Elsaharty, Jeremiah Neubert:
UAV Autonomous Localization using Macro-Features Matching with a CAD Model. - Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. - John Paul Ryan, Anil Damle:
Parallel Skeletonization for Integral Equations in Evolving Multiply-Connected Domains. - Ryo Okumura, Masashi Okada, Tadahiro Taniguchi:
Domain-Adversarial and -Conditional State Space Model for Imitation Learning. - Md. Rashadul Hasan Rakib, Norbert Zeh, Magdalena Jankowska, Evangelos E. Milios:
Enhancement of Short Text Clustering by Iterative Classification. - Ethem F. Can, Caroline Potts, Aysu Ezen-Can, Xiangqian Hu:
ParkingSticker: A Real-World Object Detection Dataset. - VietCuong Ngo, Wenchuan Wu:
Interval Distribution State Estimation using an LP-RDM Contractor. - Damián Marelli, Tianju Sui, Minyue Fu, Renquan Lu:
Statistical Approach to Detection of Attacks for Stochastic Cyber-Physical Systems. - Akhila Sri Manasa Venigalla, Sridhar Chimalakonda:
StackEmo-Towards Enhancing User Experience by Augmenting Stack Overflow with Emojis. - Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo:
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition. - Geonmo Gu, ByungSoo Ko:
Symmetrical Synthesis for Deep Metric Learning. - Bhawna Ahuja, Deepak Mishra, Ranjan Bose:
QoS-aware Stochastic Spatial PLS Model for Analysing Secrecy Performance under Eavesdropping and Jamming. - Dan Garber:
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems. - Mehrdad Alizadeh, Barbara Di Eugenio:
Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach. - Ben Talbot, Feras Dayoub, Peter Corke, Gordon F. Wyeth:
Robot Navigation in Unseen Spaces using an Abstract Map. - Yu Lu, Muyan Feng, Ming Wu, Chuang Zhang:
C-DLinkNet: considering multi-level semantic features for human parsing. - Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
Self-Adversarial Learning with Comparative Discrimination for Text Generation. - Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng:
Edit Distance Embedding using Convolutional Neural Networks. - Wangchunshu Zhou, Tao Ge, Ke Xu:
Pseudo-Bidirectional Decoding for Local Sequence Transduction. - Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels:
Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles. - Jiwei Li:
Teaching Machines to Converse. - Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting Simple Learners. - Liang Liao, Stephen John Maybank:
Generalized Visual Information Analysis via Tensorial Algebra. - Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, N. Sundararajan, P. B. Sujit:
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm. - Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction with Model Misspecification and Agnostic Distribution Shift. - Zhibo Liu, Feng Gao, Yizhou Wang:
A Generative Adversarial Network for AI-Aided Chair Design. - Evgeny V. Tsykunov, Ruslan Agishev, Roman Ibrahimov, Taha K. Moriyama, Luiza Labazanova, Hiroyuki Kajimoto, Dzmitry Tsetserukou:
SwarmCloak: Landing of Two Micro-Quadrotors on Human Hands Using Wearable Tactile Interface Driven by Light Intensity. - Hajime Ono, Tsubasa Takahashi:
Locally Private Distributed Reinforcement Learning. - Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction. - Dongfang Xu, Xianghao Yu, Robert Schober:
Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks. - Marie Lejeune, Michel Rigo, Matthieu Rosenfeld:
On the binomial equivalence classes of finite words. - Ilker Bozcan, Erdal Kayacan:
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance. - Jonathan Bac, Andrei Yu. Zinovyev:
Local intrinsic dimensionality estimators based on concentration of measure. - Peter Kritzer, Friedrich Pillichshammer, Henryk Wozniakowski:
Exponential tractability of linear weighted tensor product problems in the worst-case setting for arbitrary linear functionals. - Teguh Santoso Lembono, Carlos Mastalli, Pierre Fernbach, Nicolas Mansard, Sylvain Calinon:
Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion. - Giorgio Visani, Enrico Bagli, Federico Chesani, Alessandro Poluzzi, Davide Capuzzo:
Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models. - Benoît Sohet, Yezekael Hayel, Olivier Beaude, Alban Jeandin:
Coupled Charging-and-Driving Incentives Design for Electric Vehicles in Urban Networks. - Antonio Paolillo, Teguh Santoso Lembono, Sylvain Calinon:
Using a memory of motion to efficiently achieve visual predictive control tasks. - Milad Mozafari, Leila Reddy, Rufin VanRullen:
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. - Ludwig Dierks, Sven Seuken:
The Competitive Effects of Variance-based Pricing. - Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant:
Break It Down: A Question Understanding Benchmark. - Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Encoding-based Memory Modules for Recurrent Neural Networks. - S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou:
Mixed-precision deep learning based on computational memory. - Daesung Kim, Hye Won Chung:
Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm. - Lionel P. Robert, Rasha Alahmad, Connor Esterwood, Sangmi Kim, Sangseok You, Qiaoning Zhang:
A Review of Personality in Human Robot Interactions. - Zhengxiong Jia, Xirong Li:
iCap: Interative Image Captioning with Predictive Text. - Yi Zhong, Guoqiang Mao, Xiaohu Ge:
Spatio-temporal Modeling for Massive and Sporadic Access. - Pallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis:
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation. - Charis Mesaritakis, Panagiotis Rizomiliotis, Marialena Akriotou, Charidimos Chaintoutis, Alexandros Fragkos, Dimitris Syvridis:
Photonic Pseudo-Random Number Generator for Internet-of-Things Authentication using a Waveguide based Physical Unclonable Function. - Kenny Schlegel, Peer Neubert, Peter Protzel:
A comparison of Vector Symbolic Architectures. - Martin Bauer, Harald Köstler, Ulrich Rüde:
lbmpy: A flexible code generation toolkit for highly efficient lattice Boltzmann simulations. - Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Hidden Markov Models with Applications to Counter-Adversarial Autonomous Systems. - Antti Knutas, Andrew Petersen:
The Effect of Civic Knowledge and Attitudes on CS Student Work Preferences. - Nikolaos P. Bakas, Elias B. Kosmatopoulos, Savvas A. Chatzichristofis:
The Lagrangian remainder of Taylor's series, distinguishes O(f(x)) time complexities to polynomials or not. - Rimvydas Aleksiejunas:
Statistical Approximations of LOS/NLOS Probability in Urban Environment. - Guillaume Boisseau:
Understanding Profunctor Optics: a representation theorem. - Dan Piponi, Dave Moore, Joshua V. Dillon:
Joint Distributions for TensorFlow Probability. - Danial A. Muhammed, Soran A. M. Saeed, Tarik A. Rashid:
Improved Fitness-Dependent Optimizer Algorithm. - Alexandre Dey, Marc Velay, Jean-Philippe Fauvelle, Sylvain Navers:
Adversarial vs behavioural-based defensive AI with joint, continual and active learning: automated evaluation of robustness to deception, poisoning and concept drift. - Aram Mahmood Ahmed, Tarik A. Rashid, Soran A. M. Saeed:
Cat Swarm Optimization Algorithm - A Survey and Performance Evaluation. - A. D. Arvanitakis:
Recursion and evolution: Part I. - Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt:
Learning Perception and Planning with Deep Active Inference. - Li Zhang, Yifeng Gao, Jessica Lin:
Semantic Discord: Finding Unusual Local Patterns for Time Series. - Do Ngoc Diep:
Statistical Tests and Confidential Intervals as Thresholds for Quantum Neural Networks. - Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. - Marcos Eduardo Valle, Rodolfo Anibal Lobo:
Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions. - Sara Mandelli, Davide Cozzolino, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro:
CNN-based fast source device identification. - Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. - Felipe Silva Carvalho, João Pedro Braga:
The Gâteaux-Hopfield Neural Network method. - Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato:
NASS: Optimizing Secure Inference via Neural Architecture Search. - Maria Mihaela Trusca, Gerasimos Spanakis:
Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification. - Ghaith Hattab, Petar Popovski, Danijela Cabric:
Spectrum Sharing for Massive Access in Ultra-Narrowband IoT Systems. - Chuang Wang, Ruimin Hu, Min Hu, Jiang Liu, Ting Ren, Shan He, Ming Jiang, Jing Miao:
Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild. - Vincent Mussot, Silvano Dal-Zilio, Loïc Correnson, Serge Rainjonneau, Yves Bardout, Grégoire Scano:
Formal Approach for the Verification of Onboard Autonomous Functions in Observation Satellites. - Ronald W. Thatcher, David J. Silvester:
A locally mass conserving quadratic velocity, linear pressure element. - Ivan Arraut, Diana Diaz:
On the loss of learning capability inside an arrangement of neural networks. - Joel Mandebi Mbongue, Danielle Tchuinkou Kwadjo, Christophe Bobda:
Automatic Generation of Application-Specific FPGA Overlays with RapidWright. - James Cranch, Simon Doherty, Georg Struth:
Relational Semigroups and Object-Free Categories. - Gabija Mikulyte, David Gilbert:
An efficient automated data analytics approach to large scale computational comparative linguistics. - Jörg Stiller:
A spectral deferred correction method for incompressible flow with variable viscosity. - Mansoor Shafi, Harsh Tataria, Andreas F. Molisch, Fredrik Tufvesson, Geoff Tunnicliffe:
Real-Time Deployment Aspects of C-Band and Millimeter-Wave 5G-NR Systems. - Vishwas Rao, Mihai Anitescu:
Efficient computation of extreme excursion probabilities for dynamical systems. - Laurens Devos, Wannes Meert, Jesse Davis:
Additive Tree Ensembles: Reasoning About Potential Instances. - Thomas Seiller:
Zeta Functions and the (Linear) Logic of Markov Processes. - Luca Costa, Mohammad Aliannejadi, Fabio Crestani:
A Tool for Conducting User Studies on Mobile Devices. - Kaushlendra Pandey, Abhishek K. Gupta:
On the Coverage Performance of Boolean-Poisson Cluster Models for Wireless Sensor Networks. - Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. - Tobias Jawecki:
A study of defect-based error estimates for the Krylov approximation of φ-functions. - Rasmus Pagh, Nina Mesing Stausholm:
Efficient Differentially Private F0 Linear Sketching. - Chunping Qiu, Michael Schmitt, Christian Geiß, Tzu-Hsin Karen Chen, Xiao Xiang Zhu:
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks. - Amir Andalib, Vahid Tabataba Vakili:
An Autonomous Intrusion Detection System Using Ensemble of Advanced Learners. - S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
AutoFCL: Automatically Tuning Fully Connected Layers for Transfer Learning. - Yalda Hashemi, Maleknaz Nayebi, Giuliano Antoniol:
Documentation of Machine Learning Software. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray:
Essentially optimal sparse polynomial multiplication. - Yung-Fu Chen, Anish Arora:
Middle-mile Network Optimization in Rural Wireless Meshes. - Sabah Al-Fedaghi:
Modeling Events and Events of Events in Software Engineering. - Lacramioara Astefanoaei, Pierre Chambart, Antonella Del Pozzo, Edward Tate, Sara Tucci Piergiovanni, Eugen Zalinescu:
Tenderbake - Classical BFT Style Consensus for Public Blockchains. - Dipankar Maity, Panagiotis Tsiotras:
Optimal Controller Synthesis and Dynamic Quantizer Switching for Linear-Quadratic-Gaussian Systems. - Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh:
Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem. - Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh:
Nonexistence Certificates for Ovals in a Projective Plane of Order Ten. - Sevegni Odilon Clement Allognon, Alessandro L. Koerich, Alceu de Souza Britto Jr.:
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor. - Lukas Holzbaur, Rina Polyanskaya, Nikita Polyanskii, Ilya Vorobyev:
Lifted Reed-Solomon Codes with Application to Batch Codes. - Amir Valibeygi, Raymond A. de Callafon:
Cooperative Energy Scheduling for Microgrids under Peak Demand Energy Plans. - Denis Lukovnikov, Asja Fischer, Jens Lehmann:
Pretrained Transformers for Simple Question Answering over Knowledge Graphs. - Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen:
Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning. - Serena Lutong Wang, Maya R. Gupta:
Deontological Ethics By Monotonicity Shape Constraints. - Piotr Krysta, Mathieu Mari, Nan Zhi:
Ultimate greedy approximation of independent sets in subcubic graphs. - Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola:
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. - Charles K. Chui, Ningning Han, Hrushikesh N. Mhaskar:
Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data. - Maria Mannone, Federico Favali, Balandino Di Donato, Luca Turchet:
Quantum GestART: Identifying and Applying Correlations between Mathematics, Art, and Perceptual Organization. - Esteve del Acebo, Yousef Alizadeh-Q, Sayyed-Ali Hossayni:
A generalization of the symmetrical and optimal probability-to-possibility transformations. - Szabolcs Lénárt, Ábel Lorinczi, István Szöllosi:
Proof of the tree module property for exceptional representations of the quiver 𝔼̃6. - John Napp, Rolando L. La Placa, Alexander M. Dalzell, Fernando G. S. L. Brandão, Aram W. Harrow:
Efficient classical simulation of random shallow 2D quantum circuits. - Sirui Lu, Lu-Ming Duan, Dong-Ling Deng:
Quantum Adversarial Machine Learning. - Bernardo Alves Furtado:
Talent, Luck, Context and Perspective on Success: a disaggregating simulation using Risk. - Shuo Huang, Ke Wu, Xiaolin Meng, Cheng Li:
Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model. - Martin Horák, Martin Kruzík:
Gradient polyconvex material models and their numerical treatment. - Nanao Kita:
Constructive Characterization for Bidirected Analogue of Critical Graphs I: Principal Classes of Radials and Semiradials. - Ravi Goyal, Victor De Gruttola:
Recursive Formula for Labeled Graph Enumeration. - Yu Luo, Lina Pu:
Practical Issues of Energy Harvesting and Data Transmissions in Sustainable IoT. - Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. - Yoh-ichi Mototake:
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks. - Sensong An, Bowen Zheng, Mikhail Y. Shalaginov, Hong Tang, Hang Li, Li Zhou, Jun Ding, Anuradha Murthy Agarwal, Clara Rivero-Baleine, Myungkoo Kang, Kathleen A. Richardson, Tian Gu, Juejun Hu, Clayton Fowler, Hualiang Zhang:
A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks. - Fenglin Ding, Wu Guo, Lirong Dai, Jun Du:
Attentive batch normalization for lstm-based acoustic modeling of speech recognition. - Ping Zhou, Shuo Huang, Qiang Chen, Siyuan He, Guochao Cai:
Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy. - Shuo Huang, Suiren Wan:
A Total Variation Denoising Method Based on Median Filter and Phase Consistency. - Jessica Torres Soto, Euan A. Ashley:
DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. - Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song:
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling. - Naser T. Sardari, Masoud Zargar:
A new upper bound for spherical codes. - James S. K. Tee, Desmond P. Taylor:
A Quantized Representation of Probability in the Brain. - Steve Thakur:
Isogenies of certain abelian varieties over finite fields with p-ranks zero. - Shravan Garlapati:
Blockchain for IOT-based NANs and HANs in Smart Grid. - Ramin Ayanzadeh, Milton Halem, Tim Finin:
Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach. - Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi:
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. - Alberto Iess, Elena Cuoco, Filip Morawski, Jade Powell:
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification. - Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee:
Optimal Decentralized Control for Uncertain Systems by Symmetric Gauss-Seidel Semi-Proximal ALM. - Yuanyuan Lyu, Haofu Liao, Heqin Zhu, Shaohua Kevin Zhou:
Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images. - Yuanyuan Lyu, Wei-An Lin, Jingjing Lu, Shaohua Kevin Zhou:
DuDoNet++: Encoding mask projection to reduce CT metal artifacts. - Alin Bostan, Andrew Elvey Price, Anthony John Guttmann, Jean-Marie Maillard:
Stieltjes moment sequences for pattern-avoiding permutations. - Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf:
Restricting the Flow: Information Bottlenecks for Attribution. - Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard:
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. - Dick Carrillo Melgarejo, Renan Cipriano Moioli, Pedro H. J. Nardelli:
Brain-to-brain Wireless Communication and Technologies Beyond 5G. - Dorian Goldfeld, Giacomo Micheli:
The Algebraic Theory of Fractional Jumps. - Vaidy Sivaraman:
Cop number of graphs without long holes. - Vito Crismale, Giovanni Scilla, Francesco Solombrino:
A derivation of Griffith functionals from discrete finite-difference models. - Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
EEG based Continuous Speech Recognition using Transformers. - Davide Dardari, Nicolò Decarli, Davide Fabbri, Anna Guerra, Marco Fantuzzi, Diego Masotti, Alessandra Costanzo, Aldo Romani, Maxime Drouguet, Thomas Feuillen, Christopher Raucy, Luc Vandendorpe, Christophe Craeye:
An Ultra-wideband Battery-less Positioning System for Space Applications. - Kaarthik Sundar, Harsha Nagarajan, Site Wang, Jeff T. Linderoth, Russell Bent:
Piecewise Polyhedral Formulations for a Multilinear Term. - Marco Chiani, Alberto Zanella:
On the Distribution of an Arbitrary Subset of the Eigenvalues for some Finite Dimensional Random Matrices. - Thomas Drugman, Jérôme Urbain, Nathalie Bauwens, Ricardo Chessini, Carlos Valderrama, Patrick Lebecque, Thierry Dutoit:
Objective Study of Sensor Relevance for Automatic Cough Detection. - Marco Cerezo, Akira Sone, Tyler J. Volkoff, Lukasz Cincio, Patrick J. Coles:
Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks. - Yi-Tun Lin, Graham D. Finlayson:
Physically Plausible Spectral Reconstruction from RGB Images. - Changwei Hu, Yifan Hu, Sungyong Seo:
A Deep Structural Model for Analyzing Correlated Multivariate Time Series. - Varad R. Pande:
Optimal Entropy Compression and Purification in Quantum Bits. - Kwangyoun Kim, Kyungmin Lee, Dhananjaya Gowda, Junmo Park, Sungsoo Kim, Sichen Jin, Young-Yoon Lee, Jinsu Yeo, Daehyun Kim, Seokyeong Jung, Jungin Lee, Myoungji Han, Chanwoo Kim:
Attention based on-device streaming speech recognition with large speech corpus. - Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner:
Operationally meaningful representations of physical systems in neural networks. - Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh:
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. - Satish Mulleti, Kiryung Lee, Yonina C. Eldar:
Identifiability Conditions for Compressive Multichannel Blind Deconvolution. - Philip Korman, Dieter S. Schmidt:
Continuation of global solution curves using global parameters. - Christian Clason:
Regularization of Inverse Problems. - Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang:
Artificial Intelligence in Surgery. - Masayoshi Asama, Leo F. Isikdogan, Rao Sushma, Bhavin V. Nayak, Gilad Michael:
A Machine Learning Imaging Core using Separable FIR-IIR Filters. - David Cortes:
Explainable outlier detection through decision tree conditioning. - Avradip Mandal, Arnab Roy, Sarvagya Upadhyay, Hayato Ushijima-Mwesigwa:
Compressed Quadratization of Higher Order Binary Optimization Problems. - Vyacheslav Kungurtsev:
Stochastic Gradient Langevin Dynamics on a Distributed Network. - Nil Stolt Ansó:
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks. - Adrian Shajkofci, Michael Liebling:
DeepFocus: a Few-Shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function. - Kerry Sun, Demoz Gebre-Egziabher:
A Two-Stage Batch Algorithm for Nonlinear Static Parameter Estimation. - Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Liu Ren:
Improve Unsupervised Domain Adaptation with Mixup Training. - Jacky C. K. Chow, Steven K. Boyd, Derek D. Lichti, Janet Lenore Ronsky:
Robust Self-Supervised Learning of Deterministic Errors in Single-Plane (Monoplanar) and Dual-Plane (Biplanar) X-ray Fluoroscopy. - Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee:
On Symmetric Gauss-Seidel ADMM Algorithm for H∞ Guaranteed Cost Control with Convex Parameterization. - Liu Li, Feng Gang:
A Pilot Study on Mandarin Chinese Cued Speech. - Tyler Sam, Jake Williams, Abel Tadesse, Huey Sun, George D. Montañez:
Decomposable Probability-of-Success Metrics in Algorithmic Search. - Yu Yang, Guoqiang Hu, Costas J. Spanos:
A Proximal Linearization-based Decentralized Method for Nonconvex Problems with Nonlinear Constraints. - Gang Xu, Yandong Gao, Jinwei Li, Mengdao Xing:
A Review on InSAR Phase Denoising. - Kathakali Sarkar, Deepro Bonnerjee, Sangram Bagh:
A single layer artificial neural network with engineered bacteria. - Georgia Papacharalampous, Hristos Tyralis:
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability. - Lindsay Oakley, Stephanie Zaleski, Billie Males, Oliver Cossairt, Marc Walton:
Improved Spectral Imaging Microscopy for Cultural Heritage through Oblique Illumination. - Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping (Steven) Zhang:
A New Re-synchronization Method based Multi-modal Fusion for Automatic Continuous Cued Speech Recognition. - Bob Coecke, Konstantinos Meichanetzidis:
Meaning updating of density matrices. - Paula M. S. Fialho, Bernardo N. B. de Lima, Aldo Procacci:
Moser-Tardos resampling algorithm, entropy compression method and the subset gas. - Jed Brown, Yunhui He, Scott P. MacLachlan, Matt Menickelly, Stefan M. Wild:
Tuning Multigrid Methods with Robust Optimization. - Lucien Bobo, Andreas Venzke, Spyros Chatzivasileiadis:
Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids. - Korosh Mahmoodi, Bruce J. West, Cleotilde Gonzalez:
Selfish Algorithm and Emergence of Collective Intelligence. - Wenhang Bao:
Fairness in Multi-agent Reinforcement Learning for Stock Trading. - Tarun Chitra:
Competitive equilibria between staking and on-chain lending. - Andres Quiros-Granados, Javier Trejos-Zelaya:
Estimation of the yield curve for Costa Rica using combinatorial optimization metaheuristics applied to nonlinear regression. - Devanshu Agrawal, Theodore Papamarkou, Jacob D. Hinkle:
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes. - Gavin S. Hartnett, Masoud Mohseni:
A Probability Density Theory for Spin-Glass Systems. - Radoslaw A. Kycia, Agnieszka Niemczynowicz:
Simple explanation of Landauer's bound and its ineffectiveness for multivalued logic. - Heng-Li Liu, Quan-Lin Li, Yan-Xia Chang, Chi Zhang:
Block-Structured Double-Ended Queues and Bilateral QBD Processes. - Mohammed E. Fouda, Sergey Shaboyan, Ayman Elezabi, Ahmed M. Eltawil:
Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems. - Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Maximal power output of a stochastic thermodynamic engine. - Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). - Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong:
Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. - Bharathi Manjula K, Sourish Das, R. Jehadeesan:
Causal Impact of Web Browsing and Other Factors on Research Publications. - Xiaotong Chen, James L. Herring, James G. Nagy, Yuanzhe Xi, Bo Yu:
An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images. - Shuo Huang, Ping Zhou, Hao Shi, Yu Sun, Suiren Wan:
Image Speckle Noise Denoising by a Multi-Layer Fusion Enhancement Method based on Block Matching and 3D Filtering. - Chaohui Gao, Yu Guo, Dong Jiang, Lijun Chen:
Multi-matrix rate-compatible reconciliation for quantum key distribution. - Yunpu Ma, Yuyi Wang, Volker Tresp:
Quantum Machine Learning Algorithm for Knowledge Graphs. - Mustafa Kemal Tural:
On the Hardness of Almost All Subset Sum Problems by Ordinary Branch-and-Bound. - Sankha S. Basu, Mihir K. Chakraborty:
Restricted Rules of Inference and Paraconsistency. - Cencheng Shen:
High-Dimensional Independence Testing and Maximum Marginal Correlation. - Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier:
COPD Classification in CT Images Using a 3D Convolutional Neural Network. - Nicola Uras, Lodovica Marchesi, Michele Marchesi, Roberto Tonelli:
Forecasting Bitcoin closing price series using linear regression and neural networks models. - James M. Wakeling, Stephanie A. Ross, David S. Ryan, Bart Bolsterlee, Ryan N. Konno, Sebastián Domínguez, Nilima Nigam:
The energy of muscle contraction. I. Tissue force and deformation during isometric contractions. - Yifu Yang, Gang Wu, Weidang Lu, Yizhong Zhang:
Load Balanced Dynamic Resource Allocation for MTC Relay. - Xiaohui Chen, Yun Yang:
Cutoff for exact recovery of Gaussian mixture models. - Vrettos Moulos:
A Hoeffding Inequality for Finite State Markov Chains and its Applications to Markovian Bandits. - Nadine Kuhnert, Lea Pflüger, Andreas K. Maier:
Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning. - Haojun Ai, Kaifeng Tang, Sheng Zhang, Yuhong Yang:
Error Model of Radio Fingerprint and PDR Fusion Indoor Localization. - Sanket Badhe, Varun Singh, Joy Li, Paras Lakhani:
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning. - (Withdrawn) Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images.
- Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger:
Non-Convex Planar Harmonic Maps. - J. Bryce Kalmbach, Jacob VanderPlas, Andrew J. Connolly:
Applying Information Theory to Design Optimal Filters for Photometric Redshifts. - Chieh-Fang Teng, Ching-Yao Chou, Chun-Hsiang Chen, An-Yeu Wu:
Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels. - Daisuke Inoue, Hiroaki Yoshida:
Model Predictive Control for Finite Input Systems using the D-Wave Quantum Annealer. - Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Variational Bayesian Methods for Stochastically Constrained System Design Problems. - Zhongling Huang, Corneliu Octavian Dumitru, Zongxu Pan, Bin Lei, Mihai Datcu:
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning. - Chieh-Fang Teng, Yen-Liang Chen:
Syndrome-Enabled Unsupervised Learning for Channel Adaptive Blind Equalizer with Joint Optimization Mechanism. - Chang Min Hyun, Seong Hyeon Baek, Mingyu Lee, Sung Min Lee, Jin Keun Seo:
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging. - Muneki Yasuda, Yeo Xian En, Seishirou Ueno:
Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment. - Nimrod Fiat, Dana Ron:
On Efficient Distance Approximation for Graph Properties. - Nicolas Bousquet, Bastien Durain:
A note on the simultaneous edge coloring. - Arkadiy Skopenkov:
A user's guide to basic knot and link theory. - Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino:
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model. - Cheng Yu, Ryandhimas E. Zezario, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders. - Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao:
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization. - Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. - Abhijeet Bhorkar, Ke Zhang, Jin Wang:
DeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks. - Ronny Gerhard Guendel:
Radar Classification of Contiguous Activities of Daily Living. - Zohreh Sheikh Khozani, Khabat Khosravi, Mohammadamin Torabi, Amir Mosavi, Bahram Rezaei, Timon Rabczuk:
Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models. - Xiaoye Wang, Zhaocheng Yang, Jianjun Huang, Rodrigo C. de Lamare:
Study of Robust Two-Stage Reduced-Dimension Sparsity-Aware STAP with Coprime Arrays. - Muhammad Junaid Farooq, Quanyan Zhu:
PhD Forum: Enabling Autonomic IoT for Smart Urban Services. - Alireza Hajipour, Arash Mirabdolah Lavasani, Mohammad Eftekhari Yazdi, Amir Mosavi, Shahaboddin Shamshirband, Kwok-Wing Chau:
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning. - Daoud Burghal, Naveed A. Abbasi, Andreas F. Molisch:
A Machine Learning Solution for Beam Tracking in mmWave Systems. - Yahui Li, Yang Li:
Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System with Lasso-based Contingency Filtering. - Merten Stender, Merten Tiedemann, David Spieler, Daniel Schoepflin, Norbert P. Hoffmann, Sebastian Oberst:
Deep learning for brake squeal: vibration detection, characterization and prediction. - Kevin Delgadillo, Cesar Rodriguez, Wilder E. Castellanos, Hector Guarnizo:
Performance Evaluation of a Substrate Integrated Waveguide Antenna for Vehicular Networks. - Jianwei Yu, Shi-Xiong Zhang, Jian Wu, Shahram Ghorbani, Bo Wu, Shiyin Kang, Shansong Liu, Xunying Liu, Helen Meng, Dong Yu:
Audio-visual Recognition of Overlapped speech for the LRS2 dataset. - Andrew J. Blumberg, Mathieu Carrière, Michael A. Mandell, Raul Rabadan, Soledad Villar:
MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data. - Yu Feng, Yuhai Tu:
How neural networks find generalizable solutions: Self-tuned annealing in deep learning. - (Withdrawn) Macromolecule Classification Based on the Amino-acid Sequence.
- Rendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala:
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection. - Zhong Meng, Yashesh Gaur, Jinyu Li, Yifan Gong:
Character-Aware Attention-Based End-to-End Speech Recognition. - Zhong Meng, Jinyu Li, Yashesh Gaur, Yifan Gong:
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition. - Zhuoran Dang:
A new approach on estimating the fluid temperature in a multiphase flow system using particle filter method. - Javier Trejos-Zelaya, Luis Eduardo Amaya-Briceño, Alejandra Jiménez-Romero, Alex Murillo-Fernández, Eduardo Piza-Volio, Mario Villalobos-Arias:
Clustering Binary Data by Application of Combinatorial Optimization Heuristics. - Peng Liu, Ruogu Fang:
Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection. - Thuan Nguyen, Thinh Nguyen:
On the Uniqueness of Binary Quantizers for Maximizing Mutual Information. - Thuan Nguyen, Thinh Nguyen:
Single-bit Quantization Capacity of Binary-input Continuous-output Channels. - Kun Wang, Masahito Hayashi:
Permutation Enhances Classical Communication Assisted by Entangled States. - Pengzhou Wu, Kenji Fukumizu:
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method. - Kamil Khadiev, Artem Ilikaev:
Quantum Algorithms for the Most Frequently String Search, Intersection of Two String Sequences and Sorting of Strings Problems. - Zhong Huang, Xueliang Li:
Hardness results for three kinds of colored connections of graphs. - Faisal Ghaffar, Sarwar Khan, Bunyarit Uyyanonvara, Chanjira Sinthanayothin, Hirohiko Kaneko:
Detection of Diabetic Anomalies in Retinal Images using Morphological Cascading Decision Tree. - Josef Dick, Aicke Hinrichs, Friedrich Pillichshammer:
A note on the periodic L2-discrepancy of Korobov's p-sets. - Tuyen Trung Truong:
Backtracking Gradient Descent allowing unbounded learning rates. - Qin Wang, Gabriel Michau, Olga Fink:
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. - Andriy Myronenko, Ali Hatamizadeh:
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. - Reza Rashetnia, Mohammad Pour-Ghaz:
Deep learning surrogate interacting Markov chain Monte Carlo based full wave inversion scheme for properties of materials quantification. - Sayed Ahmad Salehi:
Low-cost Stochastic Number Generators for Stochastic Computing. - Luchan Zhang, Yang Xiang:
A New Formulation of Coupling and Sliding Motions of Grain Boundaries Based on Dislocation Structure. - Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask learning over graphs. - Corentin Briat, Mustafa Khammash:
Ergodicity, Output-Controllability, and Antithetic Integral Control of Uncertain Stochastic Reaction Networks. - Alexander März:
CatBoostLSS - An extension of CatBoost to probabilistic forecasting. - Sergei Kiselev, Andrey Kupavskii:
Rainbow matchings in k-partite hypergraphs. - Simon J. Berrebi, Kari E. Watkins:
Whos Ditching the Bus? - Ahmadreza Ghanbarpour, Amr H. Mahmoud, Markus A. Lill:
On-the-fly Prediction of Protein Hydration Densities and Free Energies using Deep Learning. - David H. Wolpert:
Minimum entropy production in multipartite processes due to neighborhood constraints. - Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon:
Infinite-Horizon Differentiable Model Predictive Control. - Dionissios T. Hristopulos, Andreas Pavlides, Vasiliki D. Agou, Panagiota Gkafa:
Stochastic Local Interaction Model: Geostatistics without Kriging. - Samuel P. Loomis, James P. Crutchfield:
Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators. - Wenxin Du, Canyon Foot, Monica Moniot, Andrew Bray, Adam Groce:
Differentially Private Confidence Intervals. - Yao Li, Shirou Wang:
Numerical computations of geometric ergodicity for stochastic dynamics. - Dohyun Kwon, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles. - Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. - Songyang Zhang, Shuguang Cui, Zhi Ding:
Hypergraph Spectral Analysis and Processing in 3D Point Cloud. - Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A context based deep learning approach for unbalanced medical image segmentation. - Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction. - Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy:
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement. - Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar:
Contextual Constrained Learning for Dose-Finding Clinical Trials. - Yixing Huang, Shengxiang Wang, Yong Guan, Andreas K. Maier:
Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning. - Xi He, Xiaoting Wang:
Quantum subspace alignment for domain adaptation. - Ondrej Mokrý, Pavel Rajmic:
Audio Inpainting: Revisited and Reweighted. - Wenqing Li, Chuhan Yang, Saif Eddin Jabari:
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning. - Siamak Naderi, Kemal Kilic, Abdullah Dasci:
A Deterministic Model for the Transshipment Problem of a Fast Fashion Retailer under Capacity Constraints. - Julian Hossbach, Lennart Husvogt, Martin F. Kraus, James G. Fujimoto, Andreas K. Maier:
Deep OCT Angiography Image Generation for Motion Artifact Suppression. - Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht:
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. - Seungwoong Ha, Hawoong Jeong:
Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning. - Hyungil Moon, Dominic T. Lennon, James Kirkpatrick, Nina M. van Esbroeck, Leon C. Camenzind, Liuqi Yu, Florian Vigneau, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Dino Sejdinovic, Edward A. Laird, Natalia Ares:
Machine learning enables completely automatic tuning of a quantum device faster than human experts. - David Tolpin, Tomer Dobkin:
Stochastic Probabilistic Programs. - Mark M. Wilde:
Coherent Quantum Channel Discrimination. - Gregory Berkolaiko, Advait Parulekar:
A quadratically convergent iterative scheme for locating conical degeneracies in the spectra of parametric self-adjoint matrices. - You Lin, Yishen Wang, Jianhui Wang, Siqi Wang, Di Shi:
Global Sensitivity Analysis in Load Modeling via Low-rank Tensor. - Debbie W. Leung, Ashwin Nayak, Ala Shayeghi, Dave Touchette, Penghui Yao, Nengkun Yu:
Capacity Approaching Coding for Low Noise Interactive Quantum Communication, Part I: Large Alphabets. - Prakash Murali, David C. McKay, Margaret Martonosi, Ali Javadi-Abhari:
Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers. - Hai Shu, Zhe Qu, Hongtu Zhu:
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. - Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang:
Supervised Hyperalignment for multi-subject fMRI data alignment. - Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong:
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. - Sébastien Bubeck, Dan Mikulincer:
How to trap a gradient flow. - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. - Thuan Nguyen, Thinh Nguyen:
Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint. - Sifeng Xia, Kunchangtai Liang, Wenhan Yang, Ling-Yu Duan, Jiaying Liu:
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal. - Hilal Hacilar, Özkan Ufuk Nalbantoglu, Oya Aran, Burcu Bakir-Gungor:
Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods. - Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. - Jérémie Turcotte:
Cops and robbers on 2K2-free graphs. - Francis Bloch, Bhaskar Dutta, Marcin Dziubinski:
A game of hide and seek in networks. - Romit Maulik, Rajeev Surendran Array, Prasanna Balaprakash:
Site-specific graph neural network for predicting protonation energy of oxygenate molecules. - Christoph Reisinger, Yufei Zhang:
Regularity and stability of feedback relaxed controls. - Branimir Ivsic, Zvonimir Sipus, Juraj Bartolic, Josip Babic:
Modelling of Ultrawideband Propagation Scenarios for Safe Human-Robot Interaction in Warehouse Environment. - Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci Jr., Pramod K. Varshney:
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. - Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao:
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective. - Joseph Futoma, Muhammad A. Masood, Finale Doshi-Velez:
Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning. - Marián Boguñá, Ivan Bonamassa, Manlio De Domenico, Shlomo Havlin, Dmitri V. Krioukov, M. Ángeles Serrano:
Network Geometry. - Jeffrey Ding, Allan Dafoe:
The Logic of Strategic Assets: From Oil to Artificial Intelligence. - Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo:
Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets. - Tadashi Wadayama, Satoshi Takabe:
Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations. - Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. - Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi:
Choosing the Sample with Lowest Loss makes SGD Robust. - Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob:
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification. - Zineb Lanbouri, Saaid Achchab:
A new approach for trading based on Long Short Term Memory technique. - (Withdrawn) Sum Rate Maximization for Reconfigurable Intelligent Surface Assisted Device-to-Device Communications.
- Koki Yamada, Yuichi Tanaka, Antonio Ortega:
Time-Varying Graph Learning with Constraints on Graph Temporal Variation. - Yuki Yoshida, Masato Okada:
Data-Dependence of Plateau Phenomenon in Learning with Neural Network - Statistical Mechanical Analysis. - Remie Janssen:
The Burning Number of Directed Graphs: Bounds and Computational Complexity. - Alessio Sclocco, Dany Vohl, Rob V. van Nieuwpoort:
Real-Time RFI Mitigation for the Apertif Radio Transient System. - Sören Bartels, Nico Weber:
Parameter learning and fractional differential operators: application in image regularization and decomposition. - Florian Hildebrandt:
On generating fully discrete samples of the stochastic heat equation on an interval. - Jasine Babu, Deepu Benson, Deepak Rajendraprasad, Sai Nishant Vaka:
An Improvement to Chvátal and Thomassen's Upper Bound for Oriented Diameter. - Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Q. Xu:
Entropy Regularized Power k-Means Clustering. - Alexander Hanbo Li, Jelena Bradic:
Censored Quantile Regression Forest. - Ruibo Shang, Kevin Hoffer-Hawlik, Geoffrey P. Luke:
A Two-step-training Deep Learning Framework for Real-time Computational Imaging without Physics Priors. - Antonino Faraone, Ricard Delgado-Gonzalo:
Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection. - Romulo Cerqueira, Tiago Trocoli, Jan C. Albiez, Luciano Oliveira:
A rasterized ray-tracer pipeline for real-time, multi-device sonar simulation. - Nikita Kolesnikov, Semyon A. Novoselov:
On the distribution of orders of Frobenius action on $\ell$-torsion of abelian surfaces. - Jeaneth Machicao, Odemir M. Bruno, Murilo S. Baptista:
Zooming into chaos for a fast, light and reliable cryptosystem. - Ammar Tareen, Justin B. Kinney:
Biophysical models of cis-regulation as interpretable neural networks. - Hunter Johnston, Enrico Schiassi, Roberto Furfaro, Daniele Mortari:
Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections. - Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut, Xiangyun Hu, Mostafa Gharloghi:
Generalized L$_p$-norm joint inversion of gravity and magnetic data using cross-gradient constraint. - Simone Göttlich, Oliver Kolb, Kerstin Lux:
Chance-constrained optimal inflow control in hyperbolic supply systems with uncertain demand. - Eugene Grayver, Alexander Utter:
Extreme Software Defined Radio - GHz in Real Time. - Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner:
Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets. - Manpreet Singh Minhas, John S. Zelek:
Semi-supervised Anomaly Detection using AutoEncoders. - Giacomo Capodaglio, Marta D'Elia, Pavel B. Bochev, Max D. Gunzburger:
An energy-based coupling approach to nonlocal interface problems. - Sen Na, Mihai Anitescu:
Superconvergence of Online Optimization for Model Predictive Control. - Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo:
Derivation of QUBO formulations for sparse estimation. - Rui Zhu, Subhashis Ghosal:
Bayesian Semi-supervised learning under nonparanormality. - Bo Zhou, S. Kevin Zhou:
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior. - Hua Ma, Ihor Smal, Joost Daemen, Theo van Walsum:
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering. - Matthew Elliott, Benjamin Golub, Matthew V. Leduc:
Supply Network Formation and Fragility. - Kazuaki Tanaka:
Computer-assisted analysis of the sign-change structure for elliptic problems. - Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang:
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention. - Saikat Guha, Quntao Zhuang, Boulat A. Bash:
Infinite-fold enhancement in communications capacity using pre-shared entanglement. - Guangyu Jia, Zhaohui Yang, Hak-Keung Lam, Jianfeng Shi, Mohammad Shikh-Bahaei:
Channel Assignment in Uplink Wireless Communication using Machine Learning Approach. - Amparo Gil, Javier Segura, Nico M. Temme:
Asymptotic inversion of the binomial and negative binomial cumulative distribution functions. - Sandhya Tripathi, N. Hemachandra, Prashant Trivedi:
On Feature Interactions Identified by Shapley Values of Binary Classification Games. - Yingkai Ouyang, Ching-Yi Lai:
Linear programming bounds for quantum amplitude damping codes. - Meimei Liu, David B. Dunson:
Reproducible Bootstrap Aggregating. - Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews:
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search. - Joseph Futoma, Michael C. Hughes, Finale Doshi-Velez:
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning. - Rohit Pandey, Yingnong Dang, Gil Lapid Shafriri, Murali Chintalapati, Aerin Young Kim:
Breaking hypothesis testing for failure rates. - Oleg R. Musin:
Majorization and minimal energy on spheres. - (Withdrawn) Noncooperative Precoding for Massive MIMO HetNets: SILNR Maximization Precoding.
- Taylor Brysiewicz, Jose Israel Rodriguez, Frank Sottile, Thomas Yahl:
Solving Decomposable Sparse Systems. - Yuzhou Cao, Yitian Xu:
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. - Seung Hee Yang, Minhwa Chung:
Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training. - Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Adversarial Loss for Semantic Segmentation of Aerial Imagery. - Narjes Nabipour, Amir Mosavi, Eva Hajnal, László Nádai, Shahab Shamshirband, Kwok-Wing Chau:
Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System. - Iacopo Savelli, Thomas Morstyn:
Electricity prices and tariffs to keep everyone happy: a framework for compatible fixed and nodal structures to increase efficiency. - William A. Clark, Maani Ghaffari Jadidi, Anthony M. Bloch:
Nonparametric Continuous Sensor Registration. - Michael Herty, Torsten Trimborn, Giuseppe Visconti:
Kinetic Theory for Residual Neural Networks. - Barak Or, Joseph Z. Ben-Asher, Isaac Yaesh:
Optimal Disturbance Attenuation Approach with Measurement Feedback to Missile Guidance. - Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Visually Guided Self Supervised Learning of Speech Representations. - Yifei Wang, Wuchen Li:
Information Newton's flow: second-order optimization method in probability space. - Zhengfeng Ji, Anand Natarajan, Thomas Vidick, John Wright, Henry Yuen:
MIP*=RE. - Nina M. van Esbroeck, Dominic T. Lennon, Hyungil Moon, V. Nguyen, Florian Vigneau, Leon C. Camenzind, Liuqi Yu, Dominik M. Zumbühl, G. Andrew D. Briggs, Dino Sejdinovic, Natalia Ares:
Quantum device fine-tuning using unsupervised embedding learning. - Davide Gagliardi, Giovanni Russo:
On the synthesis of control policies from noisy example datasets: a probabilistic approach. - Seunghoan Song, Masahito Hayashi:
Capacity of Quantum Private Information Retrieval with Colluding Servers. - Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie:
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets. - Peter J. Karalekas, Nikolas A. Tezak, Eric C. Peterson, Colm A. Ryan, Marcus P. da Silva, Robert S. Smith:
A quantum-classical cloud platform optimized for variational hybrid algorithms. - Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore:
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. - Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li:
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition. - Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones:
On the Computational Viability of Quantum Optimization for PMU Placement. - Jones Yirui Liu, Xinghao Qiao:
Conditional Variational Inference with Adaptive Truncation for Bayesian Nonparametric Models. - Chengchun Shi, Sheng Zhang, Wenbin Lu, Rui Song:
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings. - Nicolas Bousquet, Wouter Cames van Batenburg, Louis Esperet, Gwenaël Joret, William Lochet, Carole Muller, François Pirot:
Packing and covering balls in graphs excluding a minor. - Kelsey Maass, Arun V. Sathanur, Arif Khan, Robert Rallo:
Street-level Travel-time Estimation via Aggregated Uber Data. - Sarah H. Q. Li, Assalé Adjé, Pierre-Loïc Garoche, Behçet Açikmese:
Fixed Points of the Set-Based Bellman Operator. - Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. - Yann Kurzo, Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming:
Hardware Implementation of Neural Self-Interference Cancellation. - Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann:
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. - Bin Gu, Wu Guo:
An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales. - Bin Gu, Wu Guo:
Gaussian speaker embedding learning for text-independent speaker verification. - Pedro M. Milani, Julia Ling, John K. Eaton:
Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling. - Shi Zhao, Ying Feng:
For2For: Learning to forecast from forecasts. - Charles Jankowski, Vishwas Mruthyunjaya, Ruixi Lin:
Improved Robust ASR for Social Robots in Public Spaces. - Chen Cheng, Yuting Wei, Yuxin Chen:
Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity. - Adam Lesnikowski, Valentin Tertius Bickel, Daniel Angerhausen:
Unsupervised Distribution Learning for Lunar Surface Anomaly Detection. - Joris Willems, Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
Pedestrian orientation dynamics from high-fidelity measurements. - Andrew Polar, Michael Poluektov:
Urysohn operators as adaptive filters. - Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li:
Effects of annotation granularity in deep learning models for histopathological images. - José Garres-Díaz, François Bouchut, Enrique Domingo Fernández-Nieto, Anne Mangeney, Gladys Narbona-Reina:
Multilayer models for shallow two-phase debris flows with dilatancy effects. - Kei Ishikawa, Takashi Goda:
Efficient Debiased Variational Bayes by Multilevel Monte Carlo Methods. - Viktor A. Moskalenko, Nikolai Yu. Zolotykh, Grigory V. Osipov:
Deep Learning for ECG Segmentation. - Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Edge Preserving CNN SAR Despeckling Algorithm. - Kuize Zhang:
A unified method to decentralized state inference and fault diagnosis/prediction of discrete-event systems. - Dmitry Berdinsky, Prohrak Kruengthomya:
Nonstandard Cayley automatic representations of fundamental groups. - Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. - Manuel Sebastian Mariani, Yanina Gimenez, Jorge Brea, Martin Minnoni, René Algesheimer, Claudio J. Tessone:
The wisdom of the few: Predicting collective success from individual behavior. - Francesco Bardozzo, Pietro Liò, Roberto Tagliaferri:
A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways. - Rodrigo S. Sousa, Priscila G. M. dos Santos, Tiago Mendonça Lucena de Veras, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Parametric Probabilistic Quantum Memory. - Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu:
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. - Bruno Chagas, Renato Portugal:
Discrete-Time Quantum Walks on Oriented Graphs. 26-37 - Wei Chen, Mark D. Fuge:
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization. - Gavin H. Graham, Yan Chen:
Bayesian Inversion Of Generative Models For Geologic Storage Of Carbon Dioxide. - Léonard Torossian, Victor Picheny, Nicolas Durrande:
Bayesian Quantile and Expectile Optimisation. - Yi Guo, Li Mao, Gongsen Zhang, Zhi Chen, Xi Pei, X. George Xu:
Conceptual Design and Preliminary Results of a VR-based Radiation Safety Training System for Interventional Radiologists. - Vincent Divol:
Minimax adaptive estimation in manifold inference. - Mingwu Li, Harry Dankowicz:
A unified analytical framework for a class of optimal control problems on networked systems. - Jesus Rodriguez Sanchez, Ove Edfors, Fredrik Rusek, Liang Liu:
Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation. - Anant Khandelwal, E. B. Goud, Y. Chand, Lalan Kumar, S. Prasad, N. Agarwala, R. Singh:
Two Channel Audio Zooming System For Smartphone. - Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation for Linear Inverse Problems. - Catherine K. Groschner, Christina Choi, Mary C. Scott:
Methodologies for Successful Segmentation of HRTEM Images via Neural Network. - Jessica McDonald, Gregory J. Puleo:
Strong coloring 2-regular graphs: Cycle restrictions and partial colorings. - Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto A. Lotufo:
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks. - Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. - Dominic Kafka, Daniel N. Wilke:
Resolving learning rates adaptively by locating Stochastic Non-Negative Associated Gradient Projection Points using line searches. - Maryam Hashemi, Alireza Mirrashid, Aliasghar Beheshti Shirazi:
Deep learning based Driver Distraction and Drowsiness Detection. - Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li:
OpenHI2 - Open source histopathological image platform. - Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. - Cedric G. Fraces, Adrien Papaioannou, Hamdi A. Tchelepi:
Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem. - Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu:
Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization. - James D. Gadze, Kwame A. Agyekum, Stephen J. Nuagah, Affum E. Ampoma:
Improved propagation models for LTE path loss prediction in urban & suburban Ghana. - Pedro Costa, Everett H. Phillips, Luca Brandt, Massimiliano Fatica:
GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows. - Tomoyuki Yamakami:
How Does Adiabatic Quantum Computation Fit into Quantum Automata Theory? - Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. - Hakop Hakopian, Navasard Vardanyan:
On the basic properties of $GC_n$ sets. - Tyler Helmuth, Will Perkins, Samantha Petti:
Correlation decay for hard spheres via Markov chains. - Francesco D'Angelo, Lucas Böttcher:
Learning the Ising Model with Generative Neural Networks. - Vincent Adam, Stefanos Eleftheriadis, Nicolas Durrande, Artem Artemev, James Hensman:
Doubly Sparse Variational Gaussian Processes. - Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon:
Support recovery and sup-norm convergence rates for sparse pivotal estimation. - Guillaume Marrelec, Alain Giron:
Automated extraction of mutual independence patterns using Bayesian comparison of partition models. - Peter M. Aronow, Dean Eckles, Cyrus Samii, Stephanie Zonszein:
Spillover Effects in Experimental Data. - Alexey A. Melnikov, Leonid Fedichkin, Ray-Kuang Lee, Alexander Alodjants:
Machine learning transfer efficiencies for noisy quantum walks. - Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. - Christina Gao, Joshua Isaacson, Claudius Krause:
i-flow: High-dimensional Integration and Sampling with Normalizing Flows. - David M. Burns, Cari M. Whyne:
Personalized Activity Recognition with Deep Triplet Embeddings. - Darij Grinberg:
The Bhargava greedoid as a Gaussian elimination greedoid. - Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. - Nanyan Zhu, Chen Liu, Zakary S. Singer, Tal Danino, Andrew F. Laine, Jia Guo:
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. - Esra Kaya, Ismail Saritas, Ilker Ali Özkan:
Supervised Segmentation of Retinal Vessel Structures Using ANN. - Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo:
Substituting Gadolinium in Brain MRI Using DeepContrast. - João F. Doriguello, Ashley Montanaro:
Exponential quantum communication reductions from generalizations of the Boolean Hidden Matching problem. - Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson:
Distributed, partially collapsed MCMC for Bayesian Nonparametrics. - Dai Taguchi:
A generalized Avikainen's estimate and its applications. - Dezhao Wang, Sifeng Xia, Wenhan Yang, Jiaying Liu:
Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering. - Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Weak Detection in the Spiked Wigner Model with General Rank. - Ezgi Demircan-Tureyen, Mustafa E. Kamasak:
Adaptive Direction-Guided Structure Tensor Total Variation. - Holger Boche, Minglai Cai, Christian Deppe, Roberto Ferrara, Moritz Wiese:
Semantic Security for Quantum Wiretap Channels. - Tuyen Trung Truong:
Some convergent results for Backtracking Gradient Descent method on Banach spaces. - Liesbet Van der Perre, Erik G. Larsson, Fredrik Tufvesson, Lieven De Strycker, Emil Björnson, Ove Edfors:
RadioWeaves for efficient connectivity: analysis andimpact of constraints in actual deployments. - Mohammed Adil Sbai, Abdelkader Larabi:
On Solving Groundwater Flow and Transport Models with Algebraic Multigrid Preconditioning. - Junho Cho, Ori Shental:
Prefix-Free Code Distribution Matching for 5G New Radio. - Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu:
A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models. - Georg Hille, Johannes Steffen, Max Dünnwald, Mathias Becker, Sylvia Saalfeld, Klaus Tönnies:
Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks. - Gilberto Luis De Conto Junior:
Diabetic Retinopathy detection by retinal image recognizing. - Monika J. Piotrowska, Konrad Sakowski, André Karch, Hannan Tahir, Johannes Horn, Mirjam E. Kretzschmar, Rafael T. Mikolajczyk:
Modelling pathogen spread in a healthcare network: indirect patient movements. - Gurcan Comert, Stacey Franklin Jones:
Analysis of Queue Length Prediction from Probe Vehicles Problem with Bunch Arrival Headways. - Joaquín J. Torres, Ginestra Bianconi:
Simplicial complexes: higher-order spectral dimension and dynamics. - Omar Amer, Walter O. Krawec:
Finite Key Analysis of the Extended B92 Protocol. - Ágnes Baran, Sebastian Lerch, Mehrez El Ayari, Sándor Baran:
Machine learning for total cloud cover prediction. - Matús Medo, Manuel Sebastian Mariani, Linyuan Lü:
Universal patterns of online news impact. - Aditi S. Krishnapriyan, Maciej Haranczyk, Dmitriy Morozov:
Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials. - Bin Han, Ran Lu:
Compactly Supported Quasi-tight Multiframelets with High Balancing Orders and Compact Framelet Transforms. - Vidhi Lalchand:
Extracting more from boosted decision trees: A high energy physics case study. - Alan Arroyo, R. Bruce Richter, Matthew Sunohara:
Extending drawings of complete graphs into arrangements of pseudocircles. - Giacomo Como, Gustav Nilsson:
On the Well-Posedness of Dynamical Flow Networks With Feedback-Controlled Outflows. - Peter Benner, Steffen W. R. Werner:
Frequency- and Time-Limited Balanced Truncation for Large-Scale Second-Order Systems. - Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian:
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates. - Samuel Lanthaler, Siddhartha Mishra, Carlos Parés-Pulido:
On the conservation of energy in two-dimensional incompressible flows. - Alexander Weber, Marcus Kreuzer, Alexander Knoll:
A generalized Bellman-Ford Algorithm for Application in Symbolic Optimal Control. - Zhenbing Zhao, Hongyu Qi, Yincheng Qi, Ke Zhang, Yongjie Zhai, Wenqing Zhao:
Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines. - Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino:
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. - Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei:
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models. - Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner:
Edge-enabled V2X Service Placement for Intelligent Transportation Systems. - Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester:
Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling. - Shantanav Chakraborty, Kyle Luh, Jérémie Roland:
How fast do quantum walks mix? - Juan C. Rodriguez Gamboa, Eva Susana Albarracin E., Adenilton J. da Silva, Luciana Leite, Tiago A. E. Ferreira:
Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid. - Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. - Paolo Bartesaghi, Gian Paolo Clemente, Rosanna Grassi:
Communicability in the World Trade Network - A new perspective for community detection. - Gábor Damásdi, Stefan Felsner, António Girão, Balázs Keszegh, David Lewis, Dániel T. Nagy, Torsten Ueckerdt:
On Covering Numbers, Young Diagrams, and the Local Dimension of Posets. - Anton Freund, Michael Rathjen, Andreas Weiermann:
Minimal bad sequences are necessary for a uniform Kruskal theorem. - Seongyong Park, Shujaat Khan:
GSSMD: New metric for robust and interpretable assay quality assessment and hit selection. - Dmitry Chistikov, Olga Goulko, Adrian Kent, Mike Paterson:
Globe-hopping. - Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder:
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. - A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. - Sebastian Raschka, Benjamin Kaufman:
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition. - Piotr J. Górski, Klavdiya Bochenina, Janusz A. Holyst, Raissa M. D'Souza:
Homophily based on few attributes can impede structural balance. - Lirong Wu, Kejie Huang, Haibin Shen:
A GAN-based Tunable Image Compression System. - Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Machine Learning in Quantitative PET Imaging. - Poulami Das, Christopher A. Pattison, Srilatha Manne, Douglas M. Carmean, Krysta M. Svore, Moinuddin K. Qureshi, Nicolas Delfosse:
A Scalable Decoder Micro-architecture for Fault-Tolerant Quantum Computing. - Hari Om Aggrawal, Jan Modersitzki:
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies. - Iasson Karafyllis:
On the Relation of IOS-Gains and Asymptotic Gains For Linear Systems. - Zhun Fan, Jiahong Wei, Guijie Zhu, Jiajie Mo, Wenji Li:
ENAS U-Net: Evolutionary Neural Architecture Search for Retinal Vessel Segmentation. - Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen:
Efficient Neural Architecture Search: A Broad Version. - Frank E. Curtis, Katya Scheinberg:
Adaptive Stochastic Optimization. - Rodrigo Aldana-López, David Gómez-Gutiérrez, Marco Tulio Angulo, Michael Defoort:
A methodology for designing fixed-time stable systems with a predefined upper-bound in their settling time. - Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit:
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning. - Jakub Truszkowski, Céline Scornavacca, Fabio Pardi:
Computing the probability of gene trees concordant with the species tree in the multispecies coalescent. - Borja Sánchez-López, Jesús Cerquides:
Dual Stochastic Natural Gradient Descent. - Heinz H. Bauschke, Regina Sandra Burachik, Daniel B. Herman, C. Yalçin Kaya:
On Dykstra's algorithm: finite convergence, stalling, and the method of alternating projections. - Projesh Nath Choudhury, Michael J. Tsatsomeros:
How to Detect and Construct N-matrices. - Mingjie Shao, Qiang Li, Wing-Kin Ma:
Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface. - Yiwei Qiu, Jin Lin, Xiaoshuang Chen, Feng Liu, Yonghua Song:
Nonintrusive Uncertainty Quantification of Dynamic Power Systems Subject to Stochastic Excitations. - Ray-Bing Chen, Yuan Wang, Chien-Fu Jeff Wu:
Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification. - Vidhi Lalchand:
A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application. - Michele Piana, Giacomo Caviglia, Sara Sommariva:
Mathematical modelling of nuclear medicine data. - Yu Zhang, Haowei Deng, Quanxi Li:
Context-Sensitive and Duration-Aware Qubit Mapping for Various NISQ Devices. - Tianyang Hu, Zuofeng Shang, Guang Cheng:
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. - Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann, Lalith Sharan, Carolyn Fan, Beat Peter Müller-Stich, Felix Nickel, Sandy Engelhardt:
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training. - Xiangyu Zhao, Jiliang Tang:
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. - Shun-ichi Amari:
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. - Subhayan Mukherjee, Aaron Zimmer, Navaneeth Kamballur Kottayil, Xinyao Sun, Parwant Ghuman, Irene Cheng:
CNN-based InSAR Denoising and Coherence Metric. - Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun, Parwant Ghuman, Irene Cheng:
CNN-based InSAR Coherence Classification. - Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Xinyao Sun, Irene Cheng:
CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance. - Renoh Johnson Chalakkal, Faizal M. F. Hafiz, Waleed H. Abdulla, Akshya Swain:
An Efficient Framework for Automated Screening of Clinically Significant Macular Edema. - Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen:
Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. - Shreyas Ramoji, Prashant Krishnan V, Prachi Singh, Sriram Ganapathy:
Pairwise Discriminative Neural PLDA for Speaker Verification. - Kaikai Pan, Elyas Rakhshani, Peter Palensky:
False Data Injection Attacks on Hybrid AC/HVDC Interconnected System with Virtual Inertia - Vulnerability, Impact and Detection. - Grace W. Lindsay:
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future. - Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A deep network for sinogram and CT image reconstruction. - Lucas Mansilla, Diego H. Milone, Enzo Ferrante:
Learning Deformable Registration of Medical Images with Anatomical Constraints. - Ye Sun, Vito Latora:
The evolution of knowledge within and across fields in modern physics. - Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury:
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. - Yijie Zhang, Kevin de Haan, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan:
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue. - Zhifang Gu, He Chen, Pingping Xu, Yonghui Li, Branka Vucetic:
Physical Layer Authentication for Non-coherent Massive SIMO-Based Industrial IoT Communications. - Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast lesion segmentation in ultrasound images with limited annotated data. - Anthony J. Roberts:
Rigorous modelling of nonlocal interactions determines a macroscale advection-diffusion PDE. - Takafumi J. Suzuki:
Random-walk Based Generative Model for Classifying Document Networks. - Ferhat Yarkin, Justin P. Coon:
Q-ary Multi-Mode OFDM with Index Modulation. - Daniele Gammelli, Inon Peled, Filipe Rodrigues, Dario Pacino, Haci A. Kurtaran, Francisco C. Pereira:
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes. - Françoise Forges, Jérôme Renault:
Strategic information transmission with sender's approval. - José E. Chacón:
Explicit agreement extremes for a $2\times2$ table with given marginals. - Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn:
Variational Dropout Sparsification for Particle Identification speed-up. - Bernard Kapidani, Lorenzo Codecasa, Joachim Schöberl:
An arbitrary-order Cell Method with block-diagonal mass-matrices for the time-dependent 2D Maxwell equations. - Hiroki Iimori, Razvan-Andrei Stoica, Giuseppe Thadeu Freitas de Abreu, G. David Gonzalez, Andreas Andrae, Osvaldo Gonsa:
Discreteness-aware Receivers for Overloaded MIMO Systems. - Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Multimodal Deep Unfolding for Guided Image Super-Resolution. - Sunhyuk Lim, Facundo Mémoli, Osman Berat Okutan:
Vietoris-Rips Persistent Homology, Injective Metric Spaces, and The Filling Radius. - Victor de la Peña, Haolin Zou:
TopRank+: A Refinement of TopRank Algorithm. - Jesse Sun, Fatemeh Darbeha, Mark Zaidi, Bo Wang:
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. - Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim, Katherine M. Kinnaird, Miles Q. Ott:
Integrating data science ethics into an undergraduate major. - Nicolai Kraus, Jakob von Raumer:
Coherence via Wellfoundedness. - Darina Dvinskikh:
SA vs SAA for population Wasserstein barycenter calculation. - Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich:
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. - Xu Chen, Songqiang Chen, Tian Xu, Bangguo Yin, Jian Peng, Xiaoming Mei, Haifeng Li:
S2OMGAN: Shortcut from Remote Sensing Images to Online Maps. - Dimitrios Michael Manias, Manar Jammal, Hassan Hawilo, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner:
Machine Learning for Performance-Aware Virtual Network Function Placement. - Banghua Zhu, Jiantao Jiao, Jacob Steinhardt:
When does the Tukey median work? - Nikolai Krivulin:
Complete solution of tropical vector inequalities using matrix sparsification. - Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn:
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. - Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Issei Sato, Naoto Hayashi, Osamu Abe:
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method. - Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang:
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion. - Ivana Nikoloska, Josefine Holm, Anders E. Kalør, Petar Popovski, Nikola Zlatanov:
Inference over Wireless IoT Links with Importance-Filtered Updates. - Christopher J. Urban, Daniel J. Bauer:
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis. - Xin Bing, Florentina Bunea, Marten H. Wegkamp:
Optimal estimation of sparse topic models. - Xingyu Wang, Lida Zhang, Diego Klabjan:
Keyword-based Topic Modeling and Keyword Selection. - Saman Atapattu, Rongfei Fan, Prathapasinghe Dharmawansa, Gongpu Wang, Jamie S. Evans, Theodoros A. Tsiftsis:
Reconfigurable Intelligent Surface assisted Two-Way Communications: Performance Analysis and Optimization. - Amin Azari, Fayezeh Ghavimi, Mustafa Özger, Riku Jäntti, Cicek Cavdar:
Machine Learning assisted Handover and Resource Management for Cellular Connected Drones. - Yu Guo, Chaohui Gao, Dong Jiang, Lijun Chen:
100Mbps Reconciliation for Quantum Key Distribution Using a Single Graphics Processing Unit. - Clément Berenfeld, John Harvey, Marc Hoffmann, Krishnan Shankar:
Estimating the reach of a manifold via its convexity defect function. - Ronaldo Garcia, Dan Reznik, Jair Koiller:
Loci of Triangular Orbits in an Elliptic Billiard: Elliptic? Algebraic? - Nicolas Brosse, Carlos Riquelme, Alice Martin, Sylvain Gelly, Eric Moulines:
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation. - Ronaldo Garcia, Dan Reznik, Jair Koiller:
New Properties of Triangular Orbits in Elliptic Billiards. - Muhammad Firmansyah Kasim, Duncan Watson-Parris, Lucia Deaconu, Sophy Oliver, Peter W. Hatfield, Dustin H. Froula, Gianluca Gregori, Matt Jarvis, Samar Khatiwala, Jun Korenaga, Jacob Topp-Mugglestone, Eleonora Viezzer, Sam M. Vinko:
Up to two billion times acceleration of scientific simulations with deep neural architecture search. - Nathanaël Carraz Rakotonirina, Andry Rasoanaivo:
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network. - Syed Eqbal Alam, Fabian Wirth, Jia Yuan Yu, Robert Shorten:
The Convergence of Finite-Averaging of AIMD for Distributed Heterogeneous Resource Allocations. - Shakiba Yaghoubi, Georgios Fainekos, Sriram Sankaranarayanan:
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances. - Romain Bey, Romain Goussault, Mehdi Benchoufi, Raphaël Porcher:
Stratified cross-validation for unbiased and privacy-preserving federated learning. - Xiaoming Li, Chun Wang, Xiao Huang:
DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem. - Hanhe Lin, Vlad Hosu, Dietmar Saupe:
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. - Jorn H. Baayen, Jakub Marecek:
Mixed-Integer Path-Stable Optimisation, with Applications in Model-Predictive Control of Water Systems. - Sheng Zhong, Shifu Zhou:
Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization. - Jun Sun, Matús Medo, Steffen Staab:
Time-invariant degree growth in preferential attachment network models. - Andrew Rittenbach, John Paul Walters:
RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation. - Hugo Casquero, Carles Bona-Casas, Deepesh Toshniwal, Thomas J. R. Hughes, Héctor Gómez, Yongjie Jessica Zhang:
The divergence-conforming immersed boundary method: Application to vesicle and capsule dynamics. - Rafia Malik, Mai Vu:
Energy-Efficient Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data Partitioning. - André P. Vieira, Eric Goles, Hans J. Herrmann:
Dynamics of extended Schelling models. - Justin A. Reyes, E. Miles Stoudenmire:
A Multi-Scale Tensor Network Architecture for Classification and Regression. - Haoran Miao, Gaofeng Cheng, Changfeng Gao, Pengyuan Zhang, Yonghong Yan:
Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture. - Esteban Jiménez-Rodríguez, Rodrigo Aldana-López, Juan Diego Sanchez-Torres, David Gómez-Gutiérrez, Alexander G. Loukianov:
Consistent Discretization of a Class of Predefined-Time Stable Systems. - Daniel Jarrett, Mihaela van der Schaar:
Target-Embedding Autoencoders for Supervised Representation Learning. - Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton:
Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings. - Yasuhiro Takahashi, Yuki Takeuchi, Seiichiro Tani:
Classically Simulating Quantum Circuits with Local Depolarizing Noise. - Zhengkun Li, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Junbin Gao:
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting. - Marc Delcroix, Tsubasa Ochiai, Katerina Zmolíková, Keisuke Kinoshita, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam. - Thomas Paul Matthews, Sadanand Singh, Brent Mombourquette, Jason Su, Meet P. Shah, Stefano Pedemonte, Aaron Long, David Maffit, Jenny Gurney, Rodrigo Morales Hoil, Nikita Ghare, Douglas Smith, Stephen M. Moore, Susan C. Marks, Richard L. Wahl:
A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams. - Qun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia:
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. - Lars Grüne:
Overcoming the curse of dimensionality for approximating Lyapunov functions with deep neural networks under a small-gain condition. - Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov:
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data. - Jon Vadillo, Roberto Santana:
On the human evaluation of audio adversarial examples. - Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels:
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning. - Yingchun Jiang, Jiao Li:
$(p, q)$-frames in shift-invariant subspaces of mixed Lebesgue spaces $L^{p, q}(\mathbf{R}\times \mathbf{R}^{d})$. - Yongchun Li, Weijun Xie:
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. - Kun He, Min Zhang, Jianrong Zhou, Yan Jin, Chu-Min Li:
Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem. - Tianlong Fan, Linyuan Lü, Dinghua Shi, Tao Zhou:
Characterizing cycle structure in complex networks. - Nathaniel Braman, Mohammed El Adoui, Manasa Vulchi, Paulette Turk, Maryam Etesami, Pingfu Fu, Kaustav Bera, Stylianos Drisis, Vinay Varadan, Donna Plecha, Mohammed Benjelloun, Jame Abraham, Anant Madabhushi:
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. - Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri, Rune Jonassen, Anis Yazidi, Hugo Lewi Hammer:
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. - Tianzhu Ren, Yuanchang Xie, Liming Jiang:
Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment. - Baris Erol, Sevgi Zubeyde Gurbuz, Moeness G. Amin:
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures. - Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband, Amir Mosavi, Narjes Nabipour, Peter Csiba, Annamária R. Várkonyi-Kóczy:
Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems. - Salman Haider, Usman Saeed, Jawad Ashraf, Fareeha Zafar:
Explosive Material Detection and Security Alert System (e-DASS). - Issam W. Damaj, Safaa J. Kasbah:
Integrated Mobile Solutions in an Internet-of-Things Development Model. - Mohammad Arani, Mohammad Mehdi Rezvani, Hamzeh Davarikia, Yupo Chan:
Routing of Electric Vehicles in a Stochastic Network with Non-recurrent Incidents. - Wayes Tushar, Tapan Kumar Saha, Chau Yuen, M. Imran Azim, Thomas Morstyn, H. Vincent Poor, Dusit Niyato, Richard Bean:
A Coalition Formation Game Framework for Peer-to-Peer Energy Trading. - Mariia Dobko, Bohdan Petryshak, Oles Dobosevych:
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images. - Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz:
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease. - Élie de Panafieu, Sergey Dovgal:
Counting directed acyclic and elementary digraphs. - Kai Zhou, James R. Cruise, Chris J. Dent, Ian Dobson, Louis Wehenkel, Zhaoyu Wang, Amy L. Wilson:
Bayesian estimates of transmission line outage rates that consider line dependencies. - Maksim E. Shirokov:
On lower semicontinuity of the quantum conditional mutual information and its corollaries. - Aaron Defazio, Tullie Murrell, Michael P. Recht:
MRI Banding Removal via Adversarial Training. - Takeo Hoshi, Mitsuaki Kawamura, Kazuyoshi Yoshimi, Yuichi Motoyama, Takahiro Misawa, Youhei Yamaji, Synge Todo, Naoki Kawashima, Tomohiro Sogabe:
K$ω$ - Open-source library for the shifted Krylov subspace method. - Leihao Wei, Yannan Lin, William Hsu:
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features. - Yurii Kolomoitsev, Maria Skopina:
Approximation by sampling-type operators in Lp-spaces. - Jacob A. George, Mark R. Brinton, Paul C. Colgan, Garrison K. Colvin, Sliman J. Bensmaia, Gregory A. Clark:
Intensity Discriminability of Electrocutaneous and Intraneural Stimulation Pulse Frequency in Intact Individuals and Amputees. - Haihao Lu:
An O(sr)-Resolution ODE Framework for Discrete-Time Optimization Algorithms and Applications to Convex-Concave Saddle-Point Problems. - Ali Mohammad Alqudah, Hiam Alquraan, Isam Abu-Qasmieh, Amin Alqudah, Wafaa Al-Sharu:
Brain Tumor Classification Using Deep Learning Technique - A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes. - Zdenek Dvorák, Tony Huynh, Gwenaël Joret, Chun-Hung Liu, David R. Wood:
Notes on Graph Product Structure Theory. - T. Tony Cai, Hongji Wei:
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms. - Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network. - Dimitri Pinel:
Clustering Methods Assessment for Investment in Zero Emission Neighborhoods Energy System. - Amber Yuan, Jeff Calder, Braxton Osting:
A continuum limit for the PageRank algorithm. - Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. - Amit Tewari:
Forecasting NIFTY 50 benchmark Index using Seasonal ARIMA time series models. - M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola, Muhammad Tanveer, Sarika Jalan:
Identification of Chimera using Machine Learning. - Ya. S. Lyakhova, E. A. Polyakov, A. N. Rubtsov:
Effectively Trainable Semi-Quantum Restricted Boltzmann Machine. - Roland Molontay, Marcell Nagy:
Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis. - Bogdan Savchynskyy:
Discrete graphical models - an optimization perspective. - Daniel Cicala:
Rewriting Structured Cospans. - Marco Casini, Andrea Garulli:
Cooperative versus decentralized strategies in three-pursuer single-evader games. - Mohsen Shahhosseini, Guiping Hu, Sotirios V. Archontoulis:
Forecasting Corn Yield with Machine Learning Ensembles. - Xiongwei Wu, Qiang Li, Xiuhua Li, Victor C. M. Leung, P. C. Ching:
Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks. - Oliver S. Kirsebom, Fábio Frazão, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard:
Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls. - Yang Chen, Weiran Wang, Chao Wang:
Semi-supervised ASR by End-to-end Self-training. - Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan, Florent Krzakala, Sylvain Gigan:
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction. - Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang:
Data Techniques For Online End-to-end Speech Recognition. - Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, João Monteiro, Jan Trmal, Yoshua Bengio:
Multi-task self-supervised learning for Robust Speech Recognition. - Vishnu Raj, Sheetal Kalyani:
Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment. - Souvik Roy, Abhik Mukherjee, Sukanta Das:
Elementary Cellular Automata along with delay sensitivity can model communal riot dynamics. - Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado:
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. - Souvik Chakraborty, Sondipon Adhikari, Ranjan Ganguli:
The role of surrogate models in the development of digital twins of dynamic systems. - Feng Dai, Andriy Prymak, A. Shadrin, Vladimir N. Temlyakov, S. Yu. Tikhonov:
Sampling discretization of integral norms. - Alexandre Bouchard-Côté, Andrew Roth:
Particle-Gibbs Sampling For Bayesian Feature Allocation Models. - Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang:
Deep Learning-based Image Compression with Trellis Coded Quantization. - Matteo Demuru, Matteo Fraschini:
EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum. - Yacin Ameur, Martin Helmer, Felix Tellander:
On the Uniqueness Problem for Quadrature Domains. - Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard:
Graph link prediction in computer networks using Poisson matrix factorisation. - N. F. Dudley Ward, Simon Eveson, Timo Lähivaara:
A Discontinuous Galerkin method for three-dimensional poroelastic wave propagation: forward and adjoint problems. - Jiayin Chen, Hendra I. Nurdin, Naoki Yamamoto:
Temporal Information Processing on Noisy Quantum Computers. - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Bilevel Optimization for Differentially Private Optimization. - Siddharth Sigtia, Pascal Clark, Rob Haynes, Hywel Richards, John Bridle:
Multi-task Learning for Voice Trigger Detection. - Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau:
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. - Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. - Weimin Zhou, Mark A. Anastasio:
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks. - (Withdrawn) Learning the Hypotheses Space from data Part I: Learning Space and U-curve Property.
- MinWoo Kim, Geng-Shi Jeng, Matthew O'Donnell, Ivan Pelivanov:
Fluence compensation for real-time spectroscopic photoacoustic imaging. - Dan Pirjol:
Asymptotic expansion for the Hartman-Watson distribution. - Thomas Häner, Samuel Jaques, Michael Naehrig, Martin Roetteler, Mathias Soeken:
Improved quantum circuits for elliptic curve discrete logarithms. - Laura Ciobanu, Murray Elder:
The complexity of solution sets to equations in hyperbolic groups. - Irandokht Parviziomran, Shun Cao, Haeyong Yang, Seungbae Park, Daehan Won:
Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology. - Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun, Parwant Ghuman, Irene Cheng:
A Novel Generative Neural Approach for InSAR Joint Phase Filtering and Coherence Estimation. - Shalev Ben-David, Supartha Podder:
How symmetric is too symmetric for large quantum speedups? - Vincent Moens, Simiao Yu, Gholamreza Salimi Khorshidi:
¶ILCRO: Making Importance Landscapes Flat Again. - Nicholas D. Boltin, Daniel Vu, Bethany Janos, Alyssa Shofner, Joan Marie Culley, Homayoun Valafar:
An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents. - Juan Di Mauro:
Canonical form of modular hyperbolas with an application to integer factorization. - Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, László Nádai:
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model. - Mingrui Liu:
The game of Cops and Robbers on directed graphs with forbidden subgraphs. - Matthew Porter, Sidhartha Dey, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan:
Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking. - Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming:
Identification of Non-Linear RF Systems Using Backpropagation. - Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis:
Efficient and Stable Graph Scattering Transforms via Pruning. - Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu:
Estimating heterogeneous treatment effects with right-censored data via causal survival forests. - Robert Jankowski, Julian Sienkiewicz:
Determining crucial factors for the popularity of scientific articles. - Xiaotong Jiang, Amanda E. Nelson, Rebecca J. Cleveland, Daniel P. Beavers, Todd A. Schwartz, Liubov Arbeeva, Carolina Alvarez, Leigh F. Callahan, Stephen Messier, Richard Loeser, Michael R. Kosorok:
Technical Background for "A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis". - Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabás Póczos, Jay Whitacre, Venkatasubramanian Viswanathan:
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning. - Michiel Postema, Satyajit Phadke, Anthony Novell, Rustem Uzbekov, Cuthbert Nyamupangedengu, Mériém Anouti, Ayache Bouakaz:
Ultrasonic identification technique in recycling of lithium ion batteries. - Timothy D. Barfoot:
Multivariate Gaussian Variational Inference by Natural Gradient Descent. - Michal Byra, Piotr Jarosik, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, Jerzy Litniewski, Andrzej Nowicki:
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net. - Olga Polverino, Ferdinando Zullo:
Connections between scattered linear sets and MRD-codes. - Bharath K. P, Sylash K, Pravina K, Rajesh Kumar Muthu:
OMAP-L138 LCDK Development Kit. - Jerome H. Friedman:
Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations. - Rayan Kanfar, Obai Shaikh, Mehrdad Yousefzadeh, Tapan Mukerji:
Real-Time Well Log Prediction From Drilling Data Using Deep Learning. - Muhammad Shahzad, Arif Iqbal Umar, Muazzam Ali Khan, Syed Hamad Shirazi, Zakir Khan, Waqas Yousaf:
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image. - Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier:
CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding. - Fuhui Zhou, Rose Qingyang Hu:
Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks. - Jiangdong Ai, Stefanie Gerke, Gregory Z. Gutin, Sonwabile Mafunda:
Proximity and Remoteness in Directed and Undirected Graphs. - Sandeep Pandey, Jörg Schumacher:
Reservoir computing model of two-dimensional turbulent convection. - Matías Bilkis, Matteo Rosati, R. Morral Yepes, John Calsamiglia:
Real-time calibration of coherent-state receivers: learning by trial and error. - Meng Chang, Qi Li, Huajun Feng, Zhihai Xu:
Spatial-Adaptive Network for Single Image Denoising. - Junbeom Kim, Daesung Yu, Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai:
Inter-Tenant Cooperative Reception for C-RAN Systems With Spectrum Pooling. - Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda, Yamir Moreno, Matjaz Perc, Vito Latora:
Evolutionary Dynamics of Higher-Order Interactions. - Joyjit Chatterjee, Anita Thakur, Vajja Mukesh:
A Novel Approach Towards Identification of Alcohol and Drug Induced People. - Vivek Kothari, Edgar Liberis, Nicholas D. Lane:
The Final Frontier: Deep Learning in Space. - Xiao Liu, Yuanwei Liu, Yue Chen, H. Vincent Poor:
RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design. - Jia-Jie Zhu, Bernhard Schölkopf, Moritz Diehl:
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control. - Mohammad Soleymani, Peter J. Schreier, Ignacio Santamaría:
Performance Analysis of MIMO K-user Interference Channels with Hardware Impairments. - Tomás Dlask, Tomás Werner:
A Class of Linear Programs Solvable by Coordinate-wise Minimization. - Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig:
Fast quantum learning with statistical guarantees. - Seyed Mehdi Ayyoubzadeh, Xiaolin Wu:
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction. - Wang-Sheng Liu, Sai Hung Cheung, Wen-Jun Cao:
An efficient surrogate-aided importance sampling framework for reliability analysis. - Ricardo Legarda-Sáenz, Alejandro Téllez Quiñones, Carlos Brito-Loeza, Arturo Espinosa-Romero:
Variational phase recovering without phase unwrapping in phase-shifting interferometry. - Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Accurately identifying vertebral levels in large datasets. - Andrew M. Childs, Daochen Wang:
Can graph properties have exponential quantum speedup? - Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Multi-class Gaussian Process Classification with Noisy Inputs. - Jun Qi, Chao-Han Huck Yang, Javier Tejedor:
Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition. - Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa, Nicolas P. D. Sawaya:
Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits. - Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, Harishchandra Dubey, Ross Cutler, Ivan Tashev:
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement. - Weiran Wang, Qingming Tang, Karen Livescu:
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction. - (Withdrawn) On Newton Screening.
- Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Deep Learning in Multi-organ Segmentation. - Mouktar Bello, Wenjuan Yu, Mylene Pischella, Arsenia Chorti, Inbar Fijalkow, Leila Musavian:
Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R. - Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama:
Binary Classification from Positive Data with Skewed Confidence. - Kamil A. Khan, Yingwei Yuan:
Constructing subgradients from directional derivatives for functions of two variables. - Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu, Bijie Bai, Yibo Zhang, Yiyin Jin, Sabiha Tok, Enis Cagatay Yilmaz, Esin Gumustekin, Yair Rivenson, Aydogan Ozcan:
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning. - Tharaj Thaj, Emanuele Viterbo:
Low Complexity Iterative Rake Detector for Orthogonal Time Frequency Space Modulation. - Michael Barrow, Alice Chao, Qizhi He, Sonia Ramamoorthy, Claude B. Sirlin, Ryan Kastner:
Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance. - Jun Yang, Joshua Bingham:
Environment-aware Reconfigurable Noise Suppression. - Jon Wilkening, Xinyu Zhao:
Spatially quasi-periodic gravity-capillary water waves of infinite depth. - Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker:
Stochastic approximation for optimization in shape spaces. - Juraj Kardos, Drosos Kourounis, Olaf Schenk:
Reduced-Space Interior Point Methods in Power Grid Problems. - Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle:
Multi-task Learning for Speaker Verification and Voice Trigger Detection. - Soonshin Seo, Daniel Jun Rim, Junseok Oh, Ji-Hwan Kim:
Masked cross self-attention encoding for deep speaker embedding. - George Wynne, François-Xavier Briol, Mark A. Girolami:
Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models. - Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams:
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks. - Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio:
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks. - Rohith Aralikatti, Sharad Roy, Abhinav Thanda, Dilip Kumar Margam, Pujitha Appan Kandala, Tanay Sharma, Shankar M. Venkatesan:
Audio-Visual Decision Fusion for WFST-based and seq2seq Models. - Sabrina Roscani, Lucas Venturato:
About Convergence and Order of Convergence of some Fractional Derivatives. - Marco Di Renzo, Fadil Habibi Danufane, Xiaojun Xi, Julien de Rosny, Sergei A. Tretyakov:
Analytical Modeling of the Path-Loss for Reconfigurable Intelligent Surfaces - Anomalous Mirror or Scatterer ? - Hugo Abreu Mendes, Henrique Ferreira Nunes, Paulo Salgado Gomes de Mattos Neto:
Data integration and prediction models of photovoltaic production from Brazilian northeastern. - Oksana Berezniuk, Alessio Figalli, Raffaele Ghigliazza, Kharen Musaelian:
A scale-dependent notion of effective dimension. - Gianmarco Cerutti, Rahul Prasad, Alessio Brutti, Elisabetta Farella:
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms. - Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert:
Unsupervised Anomaly Detection for X-Ray Images. - Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä:
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions. - Samuele Tosatto, Riad Akrour, Jan Peters:
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. - Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou:
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation. - Mauro Bonafini, Bernhard Schmitzer:
Domain decomposition for entropy regularized optimal transport. - Anders Bredahl Kock, David Preinerstorfer, Bezirgen Veliyev:
Functional Sequential Treatment Allocation with Covariates. - Dirk Pauly, Walter Zulehner:
The Elasticity Complex. - Andrew Titus, Jan Silovský, Nanxin Chen, Roger Hsiao, Mary Young, Arnab Ghoshal:
Improving Language Identification for Multilingual Speakers. - Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machines to Generate Adversarial Images. - Ahmet M. Elbir, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Symeon Chatzinotas:
Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems. - Yasir Alanazi, Nobuo Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li:
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). - Marios Mattheakis, David Sondak, Akshunna S. Dogra, Pavlos Protopapas:
Hamiltonian Neural Networks for solving differential equations. - Takehisa Iwakoshi:
Analysis of Y00 Protocol under Quantum Generalization of a Fast Correlation Attack: Toward Information-Theoretic Security. - Ryoya Yamasaki, Toshiyuki Tanaka:
Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm. - Behdad Chalaki, Logan E. Beaver, Andreas A. Malikopoulos:
Experimental Validation of a Real-Time Optimal Controller for Coordination of CAVs in a Multi-Lane Roundabout. - Fatemeh Amini, Guiping Hu:
A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net. - Vrettos Moulos:
Finite-time Analysis of Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards. - José Antonio Carrillo, Jingwei Hu, Zheng Ma, Thomas Rey:
Recent development in kinetic theory of granular materials: analysis and numerical methods. - Benjamin Regler, Matthias Scheffler, Luca M. Ghiringhelli:
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions. - Ayse Elif Canbilen, Ertugrul Basar, Salama S. Ikki:
Reconfigurable Intelligent Surface-Assisted Space Shift Keying. - Joseph T. Colonel, Sam Keene:
Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis. - Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications. - Sruthy. S, S. Yamuna, Sudhish N. George:
An IoT based Active Building Surveillance System using Raspberry Pi and NodeMCU. - Xiaoran Cai, Xiaopeng Mo, Junyang Chen, Jie Xu:
D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge. - Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Hari Krishna Vydana, Karel Veselý, Jan Honza Cernocký:
BUT Opensat 2019 Speech Recognition System. - Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. - Salvatore Tirone, Maddalena Ghio, Giulia Livieri, Vittorio Giovannetti, Stefano Marmi:
Kelly Betting with Quantum Payoff: a continuous variable approach. - Bojan Kostic, Romain Crastes dit Sourd, Stephane Hess, Joachim Scheiner, Christian Holz-Rau, Francisco C. Pereira:
Uncovering life-course patterns with causal discovery and survival analysis. - Abin Jose, Erik Stefan Ottlik, Christian Rohlfing, Jens-Rainer Ohm:
Optimized Feature Space Learning for Generating Efficient Binary Codes for Image Retrieval. - Aleksandr Artemenkov, Maxim Panov:
NCVis: Noise Contrastive Approach for Scalable Visualization. - Kyle Gilman, Laura Balzano:
Grassmannian Optimization for Online Tensor Completion and Tracking in the t-SVD Algebra. - Nicolas Delfosse:
Hierarchical decoding to reduce hardware requirements for quantum computing. - Sourabh Bhide, Ralf Mikut, Maria Leptin, Johannes Stegmaier:
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples. - Gonzalo Rios:
Transport Gaussian Processes for Regression. - Mansi Sood, Ankur A. Kulkarni, Sharayu Moharir:
Duopolistic platform competition for revenue and throughput. - Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper:
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data. - Damian Brzyski, Xixi Hu, Joaquín Goñi, Beau M. Ances, Timothy W. Randolph, Jaroslaw Harezlak:
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis. - Amir Karami, Cynthia Nicole White, Kayla Ford, Suzanne C. Swan, Melek Yildiz Spinel:
Unwanted Advances in Higher Education: Uncovering Sexual Harassment Experiences in Academia with Text Mining. - Yuxiao Liu, Ning Zhang, Dan Wu, Audun Botterud, Rui Yao, Chongqing Kang:
Guiding Cascading Failure Search with Interpretable Graph Convolutional Network. - Ganesh R. Kini, Christos Thrampoulidis:
Analytic Study of Double Descent in Binary Classification: The Impact of Loss. - (Withdrawn) Learning the Hypotheses Space from data Part II: Convergence and Feasibility.
- Geoff Boeing, Max Besbris, Ariela Schachter, John Kuk:
Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots? - David Colmenares, Randall Kania, Wang Zhang, Metin Sitti:
Bio-inspired Flexible Twisting Wings Increase Lift and Efficiency of a Flapping Wing Micro Air Vehicle. - Rakesh R. T., Emanuele Viterbo:
Geometry based Stochastic Channel Modeling using Ambit Processes. - Shabnam Rezaei, Sofiène Affes:
ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs. - Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yuguang Wang:
CosmoVAE: Variational Autoencoder for CMB Image Inpainting. - Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You:
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus. - Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy:
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. - Péter Csermely, Nina Kunsic, Péter Mendik, Márk Kerestély, Teodóra Faragó, Dániel V. Veres, Peter Tompa:
Learning of signaling networks: molecular mechanisms. - Jee-weon Jung, Hye-jin Shim, Hee-Soo Heo, Ha-Jin Yu:
A study on the role of subsidiary information in replay attack spoofing detection. - Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen:
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy. - Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King:
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. - Ce Shi, Hao Jin, Tatsuhiro Tsuchiya:
Locating arrays with mixed alphabet sizes. - Peng Jia, Xiyu Li, Zhengyang Li, Weinan Wang, Dongmei Cai:
Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder. - Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander:
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. - Lucas Mol, Narad Rampersad:
Lengths of extremal square-free ternary words. - Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Rohrich, Helmut Prosch, Georg Langs:
Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem. - Shuaiqiang Liu, Álvaro Leitao, Anastasia Borovykh, Cornelis W. Oosterlee:
On Calibration Neural Networks for extracting implied information from American options. - Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg:
Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging. - Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis, Yannis Kopsinis:
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks. - Tianyu Qiu, Wenjing Liao, Di Guo, Dongbao Liu, Xin Wang, Xiaobo Qu:
Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices. - Tzu-Chi Yen, Daniel B. Larremore:
Community Detection in Bipartite Networks with Stochastic Blockmodels. - Boris Ryabko:
The time-adaptive statistical testing for random number generators. - Keisuke Imoto:
Graph Cepstrum: Spatial Feature Extracted from Partially Connected Microphones. - Bobak Toussi Kiani, Seth Lloyd, Reevu Maity:
Learning Unitaries by Gradient Descent. - Mariana Gama, Paulo Mateus, André Souto:
A Private Quantum Bit String Commitment. - Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. - Sophie M. Fosson:
Centralized and distributed online learning for sparse time-varying optimization. - Basil Saeed, Snigdha Panigrahi, Caroline Uhler:
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs. - Jennifer Sleeman, John E. Dorband, Milton Halem:
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning. - Radford M. Neal:
Non-reversibly updating a uniform [0, 1] value for Metropolis accept/reject decisions. - Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo:
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs. - Liangping Ma, John Kaewell:
Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification. - James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan:
Capacity-achieving Polar-based LDGM Codes with Crowdsourcing Applications. - Juste Raimbault:
Hierarchy and co-evolution processes in urban systems. - Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen:
Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit. - Jun-Jie Huang, Pier Luigi Dragotti:
Learning Deep Analysis Dictionaries - Part I: Unstructured Dictionaries. - Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Vertebra-Focused Landmark Detection for Scoliosis Assessment. - Carlo Mereghetti, Beatrice Palano, Simone Cialdi, Valeria Vento, Matteo G. A. Paris, Stefano Olivares:
Photonic Realization of a Quantum Finite Automaton. - Alexander Koryagin, Roman Khudorozhkov, Sergey Tsimfer, Darima Mylzenova:
SeismiQB - a novel framework for deep learning with seismic data. - Erel Segal-Halevi, Warut Suksompong:
How to Cut a Cake Fairly: A Generalization to Groups. - Misa Hamano, Hayato Saigo:
Quantum Walk and Dressed Photon. 93-99 - Jirô Akahori, Masahiro Kinuya, Takashi Sawai, Tomooki Yuasa:
An efficient weak Euler-Maruyama type approximation scheme of very high dimensional SDEs by orthogonal random variables. - Jean-Christophe Pain:
Expression of the Holtsmark function in terms of hypergeometric 2F2 and Airy Bi functions.
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