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ORCIDCoRR, April 2023
- Alexander Razumovsky, Yakov Pikalov, Mikhail V. Saramud:
Determination of cutting positions of honeycomb blocks using computer vision. - Nick DiSanto:
Analyzing the Contextual Shortcomings of Artificial General Intelligence. - Mayukh Bagchi, Subhashis Das:
Disentangling Domain Ontologies. - Mani A:
Rough Randomness and its Application. - Ezana N. Beyenne:
Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry. - Adnan Qayyum, Muhammad Bilal, Muhammad Hadi, Pawel Capik, Massimo Caputo, Hunaid Vohra, Ala I. Al-Fuqaha, Junaid Qadir:
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? - Giorgio Franceschelli, Mirco Musolesi:
On the Creativity of Large Language Models. - Siddarth Singh, Benjamin Rosman:
The challenge of redundancy on multi-agent value factorisation. - Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. - Sébastien Brisard, Michael Bertin, Frédéric Legoll:
A variance reduction strategy for numerical random homogenization based on the equivalent inclusion method. - Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu:
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. - Moshe Eliasof, Eldad Haber, Eran Treister:
DRIP: Deep Regularizers for Inverse Problems. - Mischa Blaszczyk, Klaus Hackl
:
A novel class of electro-mechanical metamaterials for stress reduction through electric fields. - Hongen Liu:
Video text tracking for dense and small text based on pp-yoloe-r and sort algorithm. - Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. - Pham Thai Hoang Tung, Nguyen Tan Viet, Ngo Tien Anh, Phan Duy Hung:
SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis. - Xinxin Zhang, Dike Li, Jianqin Zhu, Zhi Tao, Lu Qiu:
Rapid online solution of inverse heat transfer problem by ANN-based extended Kalman smoothing algorithm. - Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen, Jiayuan Fan:
What Makes for Effective Few-shot Point Cloud Classification? - Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth:
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. - Mohamed-Amine Chadi, Hajar Mousannif:
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization. - Fan Deng, Xiaoming Tao, Pengxiang Wei, Shiyin Wei:
A robust deep learning-based damage identification approach for SHM considering missing data. - Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand:
Accelerating exploration and representation learning with offline pre-training. - Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy, Tommi S. Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard:
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. - Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung:
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. - Muhammad S. Battikh, Dillon Hammill, Matthew Cook, Artem Lenskiy:
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration. - Alexander Munteanu, Simon Omlor, David P. Woodruff:
Almost Linear Constant-Factor Sketching for 𝓁1 and Logistic Regression. - Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang:
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses. - Khandaker Foysal Haque, Milin Zhang, Francesco Restuccia:
SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals. - Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin:
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding. - Harald Ruess, Natarajan Shankar:
Evidential Transactions with Cyberlogic. - Junyi Chai, Xiaoqian Wang:
To be Robust and to be Fair: Aligning Fairness with Robustness. - Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov:
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. - Alessandro Russo, N. Sukumar:
Quantitative study of the stabilization parameter in the virtual element method. - K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal:
Identification of Forced Oscillation Sources in Wind Farms using E-SINDy. - Johannes Köhler, Ferdinand Geuss, Melanie N. Zeilinger:
On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework. - Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner:
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. - Abhinav Kumar, Miguel A. Guirao Aguilera, Reza Tourani, Satyajayant Misra:
Fides: A Generative Framework for Result Validation of Outsourced Machine Learning Workloads via TEE. - Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal:
DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from μPMU Measurement Data. - Melanie Kircheis, Daniel Potts:
Optimal density compensation factors for the reconstruction of the Fourier transform of bandlimited functions. - Daniele Boffi, Ramon Codina, Önder Türk:
Finite element formulations for Maxwell's eigenvalue problem using continuous Lagrangian interpolations. - Tao Li, Quanyan Zhu:
On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling. - Zihao Liang, Wenjian Hao, Shaoshuai Mou:
A Data-Driven Approach for Inverse Optimal Control. - Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. - Yan Chen, James H. Holmes, Curtis Corum, Vincent Magnotta, Mathews Jacob:
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. - James H. Adler, Xiaozhe Hu, Yuwen Li, Ludmil T. Zikatanov:
Parameter-free preconditioning for nearly-incompressible linear elasticity. - Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula Alina Snigurska, Sarah E. Ser, Mattia Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu:
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. - Daniel Campos, ChengXiang Zhai:
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval. - Aman Pathak, Zehao Yu, Daniel Paredes, Elio Paul Monsour, Andrea Ortiz Rocha, Juan P. Brito, Naykky Singh Ospina, Yonghui Wu:
Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods. - Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke:
Enhancing Large Language Models with Climate Resources. - Mehran Ghafarian Tamizi, Homayoun Honari, Aleksey Nozdryn-Plotnicki, Homayoun Najjaran:
End-to-end deep learning-based framework for path planning and collision checking: bin picking application. - Ryan Koo, Anna Martin, Linghe Wang, Dongyeop Kang:
Decoding the End-to-end Writing Trajectory in Scholarly Manuscripts. - Harish Karunakaran, Gopeshh Raaj Subbaraj:
Trajectory Control for Differential Drive Mobile Manipulators. - Sajad Meisami, Sadaf Meisami, Melina Yousefi, Mohammad Reza Aref:
Combining Blockchain and IOT for Decentralized Healthcare Data Management. - Doganalp Ergenç, Cornelia Brülhart, Mathias Fischer:
Towards Developing Resilient and Service-oriented Mission-critical Systems. - David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux:
Scalable and Privacy-Preserving Federated Principal Component Analysis. - Shubham Atreja, Shruthi Srinath, Mohit Jain, Joyojeet Pal:
Understanding Journalists' Workflows in News Curation. - Angelos Chatzimparmpas, Rafael M. Martins, Alexandru C. Telea, Andreas Kerren:
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. - Jiapeng Xu, Ying Tan, Xiang Chen:
Robust Tracking Control for Nonlinear Systems: Performance optimization via extremum seeking. - Artur P. Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams:
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods. - Yijun Xu, Marcos Netto, Lamine Mili:
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model. - Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams:
E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics. - Liyan Chen, Weihan Wang, Philippos Mordohai:
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation. - Vincent Léon, S. Rasoul Etesami:
Online Reinforcement Learning in Markov Decision Process Using Linear Programming. - Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo:
Robotic Perception of Transparent Objects: A Review. - Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr:
Secure Federated Learning against Model Poisoning Attacks via Client Filtering. - Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu:
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning. - Wesley Hanwen Deng, Motahhare Eslami, Kenneth Holstein:
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI. - Liangjie Chen, John W. Simpson-Porco:
Data-Driven Output Regulation using Single-Gain Tuning Regulators. - Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu:
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. - Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays:
Lego-Features: Exporting modular encoder features for streaming and deliberation ASR. - Romain Lacombe, Hannah Grossman, Lucas Hendren, David Lüdeke:
Improving extreme weather events detection with light-weight neural networks. - Lhuqita Fazry, Asep Haryono, Nuzulul Khairu Nissa, Sunarno, Naufal Muhammad Hirzi, Muhammad Febrian Rachmadi, Wisnu Jatmiko:
Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation. - Zihao Wang, Eugene Agichtein, Jinho D. Choi:
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems. - Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah:
PrefGen: Preference Guided Image Generation with Relative Attributes. - Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Grégoire Sergeant-Perthuis, David Rudrauf, Dimitri Ognibene, Yvain Tisserand:
Action of the Euclidean versus Projective group on an agent's internal space in curiosity driven exploration: a formal analysis. - (Withdrawn) Leveraging Neo4j and deep learning for traffic congestion simulation & optimization.
- Lidan Xu, Hao Lu, Jianliang Wang, Xiang-Gui Guo, Lei Guo:
Sector Bounds for Vertical Cable Force Error in Cable-Suspended Load Transportation System. - Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann:
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction. - Debdipta Goswami:
Sequential Learning from Noisy Data: Data-Assimilation Meets Echo-State Network. - Elisa Negrini, Levon Nurbekyan:
Applications of No-Collision Transportation Maps in Manifold Learning. - Rui Sun, Chen Wang, An-An Lu, Xiqi Gao, Xiang-Gen Xia:
Precoder Design with Matrix Manifold Optimization in Massive MIMO. - Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training with Prior-Guided Knowledge. - Sriram Radhakrishna, Adithya Balasubramanyam:
Pedestrian Intention Classifier using ID3 Modelled Decision Trees for IoT Edge Devices. - Hans Riess, Michael C. Munger, Michael M. Zavlanos:
Max-Plus Synchronization in Decentralized Trading Systems. - Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Botao Zhao, Mojtaba Esfandiari, David E. Usevitch, Peter Gehlbach, Iulian Iordachita:
Human-Robot Interaction in Retinal Surgery: A Comparative Study of Serial and Parallel Cooperative Robots. - Jiaang Li, Quan Wang, Zhendong Mao:
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. - Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. - Fenggang Liu, Yangguang Li, Feng Liang, Jilan Xu, Bin Huang, Jing Shao:
Mask Hierarchical Features For Self-Supervised Learning. - Chunyu Lei, C. L. Philip Chen, Jifeng Guo, Tong Zhang:
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification. - Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi:
Automatic High Resolution Wire Segmentation and Removal. - (Withdrawn) Fundamental Limits of Holographic MIMO Channels: Tackling Non-Separable Transceiver Correlation.
- Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi:
Adaptive formation motion planning and control of autonomous underwater vehicles using deep reinforcement learning. - Daichi Saito, Eri Nagatomo, Jefferson Pardomuan, Hideki Koike:
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles. - Kai-Cheng Yang, Filippo Menczer:
Large language models can rate news outlet credibility. - Réda Alami, Mohammed Mahfoud, Eric Moulines:
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. - Junwei Liu, Zikai Ouyang, Jiahui Yang, Hua Chen, Haibo Lu, Wei Zhang:
Coordinated Defense Allocation in Reach-Avoid Scenarios with Efficient Online Optimization. - Suman Adhya, Debarshi Kumar Sanyal:
What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha. - Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. - (Withdrawn) GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss.
- Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. - Takahiro Tsumura, Seiji Yamada:
Experimental Investigation of Robotic virtual agent's errors that are accepted by reaction and body color selection. - Yu Tang, Li Jin, Kaan Ozbay:
How Does Driver Non-compliance Destroy Traffic Routing Control? - Leila Ismail, Huned Materwala:
From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation. - Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou:
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning. - Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. - Shuning Chang, Pichao Wang, Fan Wang, Jiashi Feng, Mike Zheng Shou:
DOAD: Decoupled One Stage Action Detection Network. - Jaydip Sen, Subhasis Dasgupta:
Data Privacy Preservation on the Internet of Things. - Teimour Hosseinalizadeh, Nima Monshizadeh:
Gaussian Mechanism Design for Prescribed Privacy Sets in Data Releasing Systems. - Weidong Wang, Jing Yang:
Variants of Bezout Subresultants for Several Univariate Polynomials. - Valentina Breschi, Alessandro Chiuso, Marco Fabris, Simone Formentin:
On the impact of regularization in data-driven predictive control. - Masayuki Tezuka, Keisuke Tanaka:
Pointcheval-Sanders Signature-Based Synchronized Aggregate Signature. - Imke Grabe, Jichen Zhu:
Hidden Layer Interaction: A Co-Creative Design Fiction for Generative Models. - Shuhao Qi, Zengjie Zhang, Sofie Haesaert, Zhiyong Sun:
Automated Formation Control Synthesis from Temporal Logic Specifications. - Bingxi Liu, Yujie Fu, Feng Lu, Jinqiang Cui, Yihong Wu, Hong Zhang:
NPR: Nocturnal Place Recognition in Streets. - Anders Mariegaard, Kim G. Larsen, Marco Muñiz, Thomas Dyhre Nielsen:
Energy Consumption Optimization in Radio Access Networks (ECO-RAN). - Jianhong Pan, Siyuan Yang, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Zhipeng Fan, Jun Liu:
Progressive Channel-Shrinking Network. - Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Lars Jansen, Stephan Pachnicke:
Branch Identification in Passive Optical Networks using Machine Learning.