default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, February 2024
- Zhongfu Guo, Xinsheng Ji, Wei You, Mingyan Xu, Yu Zhao, Zhimo Cheng, Deqiang Zhou:
Raptor Encoding for Low-Latency Concurrent Multi-PDU Session Transmission with Security Consideration in B5G Edge Network. - Kevin Weinberger, Simon Tewes, Aydin Sezgin:
Validating Properties of RIS Channel Models with Prototypical Measurements. - Rajesh Sharma R, Akey Sungheetha, Chinnaiyan R:
Revolutionizing Underwater Exploration of Autonomous Underwater Vehicles (AUVs) and Seabed Image Processing Techniques. - Sami Nadif, Essaid Sabir, Halima Elbiaze, Abdelkrim Haqiq:
Grant-Free Power Allocation for Ultra-Dense Internet of Things Environments: A Mean-Field Perspective. - Divya Jaganathan
, Rahil N. Valani:
Markovian embedding of nonlocal equations using spectral representation. - Ekansh Agrawal:
Going Viral: An Analysis of Advertising of Technology Products on TikTok. - Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
Choosing the Right Path for AI Integration in Engineering Companies: A Strategic Guide. - Przemyslaw Palka, Marco Lippi, Francesca Lagioia, Ruta Liepina, Giovanni Sartor:
No More Trade-Offs. GPT and Fully Informative Privacy Policies. - Chandan Agrawal, Ashish Papanai, Jerome White:
Maintaining User Trust Through Multistage Uncertainty Aware Inference. - Opadele Kehinde, Ruth Abdul, Bose Afolabi, Parminder Vir, Corinne Namblard, Ayan Mukhopadhyay, Abiodun Adereni:
Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria. - Sane Souvanhnakhoomman:
Review on Application of Drone in Spraying Pesticides and Fertilizers. - Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden:
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. - Luigi Russo, Francesco Mauro, Babak Memar, Alessandro Sebastianelli, Paolo Gamba, Silvia Liberata Ullo:
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping. - Adnan Hoque, Less Wright, Chih-Chieh Yang, Mudhakar Srivatsa, Raghu K. Ganti:
Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition. - Philipp Wacker:
Perspectives on locally weighted ensemble Kalman methods. - Xinkai Yan, Jieting Xu, Yuchi Huo, Hujun Bao:
Neural Rendering and Its Hardware Acceleration: A Review. - Necdet Gurkan, Jordan W. Suchow:
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. - Paul Alexander Bilokon:
Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First? - Federico Galbiati, Ranier X. Gran, Brendan D. Jacques, Sullivan J. Mulhern, Chun-Kit Ngan:
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis. - Sumin Lee, Sunwoong Yang, Namwoo Kang:
Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance. - Youbing Hu, Yun Cheng, Anqi Lu, Zhiqiang Cao, Dawei Wei, Jie Liu, Zhijun Li:
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition. - Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. - Yizhak Yisrael Elboher, Raya Elsaleh, Omri Isac, Mélanie Ducoffe, Audrey Galametz, Guillaume Povéda, Ryma Boumazouza, Noémie Cohen, Guy Katz:
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing. - Yinzhu Cheng:
Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification. - Nia Nixon, Yiwen Lin, Lauren Snow:
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity. - Hongtao Chen, Rui Fu, Yifan Wang, Hehu Xie:
Solving High-dimensional Parametric Elliptic Equation Using Tensor Neural Network. - Christoph Kerscher, Stefan Minner:
Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windows. - Ali Nasir, Samir Mekid, Zaid Sawlan, Omar Alsawafy:
Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process. - Christoph Wehner, Maximilian Kertel, Judith Wewerka:
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs. - Zhuoqun Xu, Lailai Zhu:
Training microrobots to swim by a large language model. - Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu:
Detecting Multimedia Generated by Large AI Models: A Survey. - Sofiene Lassoued, Andreas Schwung:
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning. - Bruno Sartini:
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs. - Edgar Ramirez-Laboreo, Maurice G. L. Roes, Carlos Sagüés:
Hybrid Dynamical Model for Reluctance Actuators Including Saturation, Hysteresis and Eddy Currents. - Edgar Ramirez-Laboreo, Eduardo Moya-Lasheras, Carlos Sagüés:
Real-Time Electromagnetic Estimation for Reluctance Actuators. - Shilpa Mayannavar, Uday Wali:
Design and Implementation of Hardware Accelerators for Neural Processing Applications. - Milin Kodnongbua, Lawrence H. Curtis, Adriana Schulz:
Zero-shot Sequential Neuro-symbolic Reasoning for Automatically Generating Architecture Schematic Designs. - Filip Cornell, Yifei Jin, Jussi Karlgren, Sarunas Girdzijauskas:
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors. - Tao Han, Song Guo, Fenghua Ling, Kang Chen, Junchao Gong, Jing-Jia Luo, Junxia Gu, Kan Dai, Wanli Ouyang, Lei Bai:
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting. - Luis Sánchez, Massimiliano Vasile, Silvia Sanvido, Klaus Mertz, Christophe Taillan:
Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory. - Yifan Zhang, Anastasios Kouvelas, Michail A. Makridis:
A Time-varying Shockwave Speed Model for Trajectory Reconstruction using Lagrangian and Eulerian Observations. - Javier Carbó, José Manuel Molina, Miguel A. Patricio:
Merging plans with incomplete knowledge about actions and goals through an agent-based reputation system. - Gérard Fleury, Philippe Lacomme:
A technical note for the 91-clauses SAT resolution with Indirect QAOA based approach. - Nicholas Stroh:
TrackGPT - A generative pre-trained transformer for cross-domain entity trajectory forecasting. - Yuyuan Feng, Guosheng Hu, Zhihong Zhang:
GPT4Battery: An LLM-driven Framework for Adaptive State of Health Estimation of Raw Li-ion Batteries. - Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Oliver Bringmann:
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators. - Yushu Jiang:
EvoMerge: Neuroevolution for Large Language Models. - Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin:
Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy. - Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris C. Holmes:
Explainable AI for survival analysis: a median-SHAP approach. - Aidar Zhetessov:
Design and Realization of a Novel Buck-Boost Phase-Modular Three-Phase AC/DC Converter System with Low Component Number. - Adi Rosenthal, Nadav Shaked:
D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models. - Sahil Patel, Daniel Karapetyan:
Exploitation Strategies in Conditional Markov Chain Search: A case study on the three-index assignment problem. - Tiancheng Li, Haozhe Liang, Guchong Li, Jesús García Herrero, Quan Pan:
Arithmetic Average Density Fusion - Part IV: Distributed Heterogeneous Fusion of RFS and LRFS Filters via Variational Approximation. - Kenya S. Andrews, Mesrob I. Ohannessian, Tanya Y. Berger-Wolf:
Modeling Access Differences to Reduce Disparity in Resource Allocation. - Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. - Xuecheng Niu, Akinori Ito, Takashi Nose:
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning. - Xu Zhang, Yiming Mo, Wenguan Wang, Yi Yang:
Retrosynthesis prediction enhanced by in-silico reaction data augmentation. - Soo Ling Lim, Peter J. Bentley, Fuyuki Ishikawa:
SCAPE: Searching Conceptual Architecture Prompts using Evolution. - Jinxuan Chen, Mustafa Özger, Cicek Cavdar:
Nash Soft Actor-Critic LEO Satellite Handover Management Algorithm for Flying Vehicles. - Tao Zhang:
Episodic-free Task Selection for Few-shot Learning. - Bhabesh Mali, Karthik Maddala, Sweeya Reddy, Vatsal Gupta, Chandan Karfa, Ramesh Karri:
ChIRAAG: ChatGPT Informed Rapid and Automated Assertion Generation. - Wilson A. Zúñiga-Galindo:
Deep Neural Networks: A Formulation Via Non-Archimedean Analysis. - Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. - Lize Alberts, Ulrik Lyngs, Kai Lukoff:
Designing for Sustained Motivation: A Review of Self-Determination Theory in Behaviour Change Technologies. - Sagi Shaier, Kevin Bennett, Lawrence E. Hunter, Katharina von der Wense:
Comparing Template-based and Template-free Language Model Probing. - Yue Zhang, Ben Colman, Ali Shahriyari, Gaurav Bharaj:
Common Sense Reasoning for Deep Fake Detection. - Abdul Hannan Khan, Syed Tahseen Raza Rizvi, Andreas Dengel:
Real-time Traffic Object Detection for Autonomous Driving. - Daniele Cattaneo, Abhinav Valada:
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration. - Arash Esfandiari, Mohammad Naser Hashemnia:
A study on the dynamic model of a three-phase grid-connected inverter and an innovative method for its verification. - Nathaniel A. Collins, Joshua A. Grochow, Michael Levet, Armin Weiß:
On the Constant-Depth Circuit Complexity of Generating Quasigroups. - Aydin Emre Utku, Suzan Ece Ada, Muhammet Hatipoglu, Mustafa Derman, Emre Ugur, Evren Samur:
A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton. - Johanna Casado, Beatriz García, Natasha Maria Monserrat Bertaina Lucero:
Transdisciplinary Multi Modal Approach to Knowledge. - Diego Machado Reyes, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan:
Multimodal Neurodegenerative Disease Subtyping Explained by ChatGPT. - Akbar Rafiey:
Decomposable Submodular Maximization in Federated Setting. - Yufei Tao, Tiernan Mines, Ameeta Agrawal:
Making a Long Story Short in Conversation Modeling. - Aaron Brunk, Dennis Schumann:
Structure-preserving approximation for the non-isothermal Cahn-Hilliard-Navier-Stokes system. - Jenny Kunz, Oskar Holmström:
The Impact of Language Adapters in Cross-Lingual Transfer for NLU. - Yahong Yang, Juncai He:
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss. - Navid Gholizadeh, Javad Katebi:
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks. - Hyeok Kim, Yea-Seul Kim, Jessica Hullman:
Erie: A Declarative Grammar for Data Sonification. - Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin:
Large Language Models for Mathematical Reasoning: Progresses and Challenges. - Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. - Simon A. Lee, Sujay Jain, Alex Chen, Arabdha Biswas, Jennifer Fang, Ákos Rudas, Jeffrey N. Chiang:
Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME). - Adrien Bolland, Gaspard Lambrechts, Damien Ernst:
Behind the Myth of Exploration in Policy Gradients. - Karolina Seweryn, Gabriel Chec, Szymon Lukasik, Anna Wróblewska:
Improving Object Detection Quality in Football Through Super-Resolution Techniques. - Atiquer Rahman Sarkar, Yao-Shun Chuang, Noman Mohammed, Xiaoqian Jiang:
De-identification is not always enough. - Kshitij Goel, Wennie Tabib:
Distance and Collision Probability Estimation from Gaussian Surface Models. - Lee M. Gunderson, Gecia Bravo Hermsdorff, Peter Orbanz:
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models. - Kate Candon, Nicholas C. Georgiou, Helen Zhou, Sidney Richardson, Qiping Zhang, Brian Scassellati, Marynel Vázquez:
REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time. - Nicolae Suciu, Florin A. Radu, Jakob S. Stokke, Emil Catinas, Andra Malina:
Computational orders of convergence of iterative methods for Richards' equation. - Junaid Iqbal Khan:
Dataset Condensation Driven Machine Unlearning. - Vishnu Jayaprakash, Jae Bem You, Chiranjeevi Kanike, Jinfeng Liu, Christopher McCallum, Xuehua Zhang:
Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectra. - Wen Fan, Haoran Li, Weiyong Si, Shan Luo, Nathan F. Lepora, Dandan Zhang:
ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor. - Raisa Islam, Subhasish Mazumdar, Rakibul Islam:
An Experiment on Feature Selection using Logistic Regression. - Ian D. Kretz, Clare C. Parran, John D. Ramsdell, Paul D. Rowe:
Evidence Tampering and Chain of Custody in Layered Attestations. - Congyu Fang, Adam Dziedzic, Lin Zhang, Laura Oliva, Amol A. Verma, Fahad Razak, Nicolas Papernot, Bo Wang:
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data. - Joana Tirana, Spyros Lalis, Dimitris Chatzopoulos:
MP-SL: Multihop Parallel Split Learning. - Stefan Frei, Tobias Knoke, Marc C. Steinbach, Anne-Kathrin Wenske, Thomas Wick:
Modeling and numerical simulation of fully Eulerian fluid-structure interaction using cut finite elements. - Steve Reeves:
Usable-by-Construction: a formal framework. - Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt:
FedCore: Straggler-Free Federated Learning with Distributed Coresets. - Ertem Nusret Tas, David Tse, Yifei Wang:
A Circuit Approach to Constructing Blockchains on Blockchains. - Irshad A. Meer, Karl-Ludwig Besser, Mustafa Özger, Dominic Schupke, H. Vincent Poor, Cicek Cavdar:
Learning Based Dynamic Cluster Reconfiguration for UAV Mobility Management with 3D Beamforming. - Qijia Shen, Guangrun Wang:
Geometry aware 3D generation from in-the-wild images in ImageNet. - Ruixue Lian, William A. Sethares, Junjie Hu:
Learning Label Hierarchy with Supervised Contrastive Learning. - Óscar Pedreira Fernández, Félix García, Mario Piattini, Alejandro Cortiñas, Ana Cerdeira-Pena:
An Architecture for Software Engineering Gamification. - Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-Ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan:
Are Generative AI systems Capable of Supporting Information Needs of Patients? - Ankit Gupta, George Saon, Brian Kingsbury:
Exploring the limits of decoder-only models trained on public speech recognition corpora. - Takashi Morita:
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary. - Mohammad Behdad Jamshidi, Dinh Thai Hoang, Diep N. Nguyen:
CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins. - Blaise Delattre, Quentin Barthélemy, Alexandre Allauzen:
Spectral Norm of Convolutional Layers with Circular and Zero Paddings. - Hafiz Mughees Ahmad, Afshin Rahimi, Khizer Hayat:
Capacity Constraint Analysis Using Object Detection for Smart Manufacturing. - Md Rakib Hossain Misu, Cristina V. Lopes, Iris Ma, James Noble:
Towards AI-Assisted Synthesis of Verified Dafny Methods. - Zhifeng Wang, Kaihao Zhang, Ramesh S. Sankaranarayana:
LRDif: Diffusion Models for Under-Display Camera Emotion Recognition. - Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang:
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning. - Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao, Ke Wang, Liping Hou, Rongjun Li, Wei Peng:
A Survey on Hallucination in Large Vision-Language Models. - Nan Jiang, Md. Nasim, Yexiang Xue:
Vertical Symbolic Regression via Deep Policy Gradient. - Samuel Deng, Daniel Hsu:
Multi-group Learning for Hierarchical Groups. - Ruchik Mishra, Karla Conn Welch:
Towards scalable robotic intervention of children with Autism Spectrum Disorder using LLMs. - Rebecca Pattichis, Marios S. Pattichis:
Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps. - Qun Ma, Xiao Xue, Deyu Zhou, Xiangning Yu, Donghua Liu, Xuwen Zhang, Zihan Zhao, Yifan Shen, Peilin Ji, Juanjuan Li, Gang Wang, Wanpeng Ma:
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective. - Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen:
Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. - Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal:
Not All Learnable Distribution Classes are Privately Learnable. - Chenchen Ding:
A Crucial Parameter for Rank-Frequency Relation in Natural Languages. - Steven Eker, Narciso Martí-Oliet, José Meseguer, Rubén Rubio, Alberto Verdejo:
The Maude strategy language. - Myeongsoo Kim, Santosh Pande, Alessandro Orso:
Improving Program Debloating with 1-DU Chain Minimality. - Marion Anderson, Shai Revzen:
Rapid Integrator for a Class of Multi-Contact Systems. - Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger:
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. - Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang:
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. - Yang Liu, Xinshuai Song, Kaixuan Jiang, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin:
Multimodal Embodied Interactive Agent for Cafe Scene. - Jiayi Wu, Zhengyu Wu, Ronghua Li, Hongchao Qin, Guoren Wang:
Effective Bug Detection in Graph Database Engines: An LLM-based Approach. - Takuma Yagi, Misaki Ohashi, Yifei Huang, Ryosuke Furuta, Shungo Adachi, Toutai Mitsuyama, Yoichi Sato:
FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation. - Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F. Glenn, Simit Raval:
Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images. - Amy Fang, Hadas Kress-Gazit:
High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents. - A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake:
Self-supervised learning of video representations from a child's perspective. - Xiaowei Fu, Yuhang Zhou, Lina Ma, Lei Zhang:
Invariance-powered Trustworthy Defense via Remove Then Restore. - Calvin Jary, Nafiseh Kahani:
An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction. - Naghmeh Farzi, Laura Dietz:
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments. - Zhiyuan Yao, Ionut Florescu, Chihoon Lee:
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach. - Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski:
Online Distribution Learning with Local Private Constraints. - Muhammad Faraz Ul Abrar, Nicolò Michelusi:
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach. - Eileen Wang, Soyeon Caren Han, Josiah Poon:
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling. - Yuang Zhang, Haonan An, Zhengru Fang, Guowen Xu, Yuan Zhou, Xianhao Chen, Yuguang Fang:
SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism. - Nannan Huang, Haytham Fayek, Xiuzhen Zhang:
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Consistent Lebesgue Measure for Multi-label Learning. - Jennifer Whyte, Ranjith Soman, Rafael Sacks, Neda Mohammadi, Nader Naderpajouh, Wei-Ting Hong, Ghang Lee:
How digital twins provide new opportunities for managing change in complex projects. - Sifan Wang, Bowen Li, Yuhan Chen, Paris Perdikaris:
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks. - Tianxiao Gao, Mingle Zhao, Chengzhong Xu, Hui Kong:
Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering. - Aku Kammonen, Lisi Liang, Anamika Pandey, Raúl Tempone:
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features. - Zhongxia Yan, Han Zheng, Cathy Wu:
Multi-agent Path Finding for Cooperative Autonomous Driving. - Prosenjit Bose, Anthony D'Angelo, Stephane Durocher:
Approximating the Smallest k-Enclosing Geodesic Disc in a Simple Polygon. - Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung, Skyler Seto, Tatiana Likhomanenko, Stephen Shum, Ahmed Hussen Abdelaziz, Shinji Watanabe, Barry-John Theobald:
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? - Yuhao Liu, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau:
Recasting Regional Lighting for Shadow Removal. - Masahiro Hayashitani, Junki Mori, Isamu Teranishi:
Survey of Privacy Threats and Countermeasures in Federated Learning. - Jorge A. Wagner Filho, Cláudio T. Silva, Wolfgang Stuerzlinger, Luciana P. Nedel:
Reimagining TaxiVis through an Immersive Space-Time Cube metaphor and reflecting on potential benefits of Immersive Analytics for urban data exploration. - Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong:
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators. - Juan Augusto Paredes, Dennis S. Bernstein:
Experimental Application of Predictive Cost Adaptive Control to Thermoacoustic Oscillations in a Rijke Tube. - Sichao Li, Amanda S. Barnard:
Diverse Explanations from Data-driven and Domain-driven Perspectives for Machine Learning Models. - Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan:
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. - Linghan Huang, Peizhou Zhao, Huaming Chen, Lei Ma:
Large Language Models Based Fuzzing Techniques: A Survey. - Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. - Riley J. Richards, Juan Augusto Paredes, Dennis S. Bernstein:
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control. - Quan Huu Cap, Atsushi Fukuda:
High-Quality Medical Image Generation from Free-hand Sketch. - Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain:
Adaptive Primal-Dual Method for Safe Reinforcement Learning. - Nivedita Singh, Rajkumar Buyya, Hyoungshick Kim:
Securing Cloud-Based Internet of Things: Challenges and Mitigations. - Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao:
Safety of Multimodal Large Language Models on Images and Text. - Lizhen Qin, Feng Wang, Yun Wang:
A parallel domain decomposition method for solving elliptic equations on manifolds. - Naoki Matsumoto, Akihiro Suda:
bypass4netns: Accelerating TCP/IP Communications in Rootless Containers. - Donghoon Youm, Hyunsik Oh, Suyoung Choi, Hyeongjun Kim, Jemin Hwangbo:
Legged Robot State Estimation With Invariant Extended Kalman Filter Using Neural Measurement Network. - Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. - Agnieszka Olechnicka, Adam Ploszaj, Ewa Zegler-Poleska:
Exploring the landscape of virtual academic conferences: A scoping review of the 1984-2021 literature. - Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov:
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. - Andrew Drucker, Yuan Li:
On the Minimum Depth of Circuits with Linear Number of Wires Encoding Good Codes. - Zhong-Heng Tan, Tiexiang Li, Wen-Wei Lin, Shing-Tung Yau:
n-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations. - Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Zhaoyang Zhang:
A Joint Communication and Computation Framework for Digital Twin over Wireless Networks. - Satoshi Tsuruhara, Kazuhisa Ito:
Adaptive FRIT-based Recursive Robust Controller Design Using Forgetting Factors. - Christian Khairallah, Reham Marzouk, Salam Khalifa, Mayar Nassar, Nizar Habash:
Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals. - Wenji Fang, Mengming Li, Min Li, Zhiyuan Yan, Shang Liu, Hongce Zhang, Zhiyao Xie:
AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs. - Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu:
Cumulative Distribution Function based General Temporal Point Processes. - Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin:
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. - Koki Inami, Koki Yamane, Sho Sakaino:
Loss Function Considering Dead Zone for Neural Networks. - Ruiqi Sun, Yinchen Ni, Xin He, Jie Zhao, An Zou:
ONE-SA: Enabling Nonlinear Operations in Systolic Arrays for Efficient and Flexible Neural Network Inference. - Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy:
Efficient Exploration for LLMs. - Zhanyu Liu, Guanjie Zheng, Yanwei Yu:
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting. - Bo Yang, Xueyao Zhang, Zhiwen Yu, Xuelin Cao, Chongwen Huang, George C. Alexandropoulos, Yan Zhang, Mérouane Debbah, Chau Yuen:
Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks. - Jacob Johnson, Joshua G. Mangelson, Timothy D. Barfoot, Randal W. Beard:
Continuous-time Trajectory Estimation: A Comparative Study Between Gaussian Process and Spline-based Approaches. - Dawn Lu, Nina Rimsky:
Investigating Bias Representations in Llama 2 Chat via Activation Steering. - Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi:
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm. - Fangcen Liu, Chenqiang Gao, Yaming Zhang, Junjie Guo, Jinhao Wang, Deyu Meng:
InfMAE: A Foundation Model in Infrared Modality. - Katsuyuki Bando, Eitetsu Ken, Hirotaka Onuki:
On the Complexity of Interpolation by Polynomials with Non-negative Real Coefficients. - Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. - Xinlin Peng, Ying Zhou, Ben He, Le Sun, Yingfei Sun:
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection. - Tolga Çöplü, Arto Bendiken, Andrii Skomorokhov, Eduard Bateiko, Stephen Cobb, Joshua J. Bouw:
Prompt-Time Symbolic Knowledge Capture with Large Language Models. - Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen:
Benchmarking Transferable Adversarial Attacks. - Jung-Mei Chu, Hao-Cheng Lo, Jieh Hsiang, Chun-Chieh Cho:
From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models. - Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. - Julien Malka, Stefano Zacchiroli, Théo Zimmermann:
Reproducibility of Build Environments through Space and Time. - Moshe Sipper, Jason H. Moore:
Genetic Programming Theory and Practice: A Fifteen-Year Trajectory. - Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. - Nicola Rares Franco, Simone Brugiapaglia:
A practical existence theorem for reduced order models based on convolutional autoencoders. - Fernando Cañadas-Aránega, José-Luis Blanco-Claraco, José Carlos Moreno, Francisco Rodriguez:
The GREENBOT dataset: Multimodal mobile robotic dataset for a typical Mediterranean greenhouse. - Daphné Tuncer, Marc Bruyere:
Responsible developments and networking research: a reflection beyond a paper ethical statement. - Alba Muñoz, Fernando Rubio:
Evaluating Genetic Algorithms through the Approximability Hierarchy. - Souvik Das, Rohini K. Srihari:
Improving Dialog Safety using Socially Aware Contrastive Learning. - Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang:
A Survey of Data-Efficient Graph Learning. - Liyi Yao, Shaobing Gao:
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection. - Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng:
Efficient Training Spiking Neural Networks with Parallel Spiking Unit. - Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu Duan, Jian Yin:
CPT: Competence-progressive Training Strategy for Few-shot Node Classification. - Eduard Kamburjan, Dilian Gurov:
A Hoare Logic for Domain Specification (Full Version). - Tosin P. Adewumi, Nudrat Habib, Lama Alkhaled, Elisa Barney:
Instruction Makes a Difference. - Sankarshan Damle, Sujit Gujar:
Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs. - Lingsheng Meng, Yong Liang Guan, Yao Ge, Zilong Liu, Pingzhi Fan:
New Lower Bounds on Aperiodic Ambiguity Function of Unimodular Sequences. - Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang:
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. - Ahmed Fawzy, Amjed Tahir, Matthias Galster, Peng Liang:
Data Management Challenges in Agile Software Projects: A Systematic Literature Review. - Florence E. Enock, Francesca Stevens, Jonathan Bright, Miranda Cross, Pica Johansson, Judy Wajcman, Helen Z. Margetts:
Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults. - Milad Abolpour, Mohammad Javad Salehi, Soheil Mohajer, Seyed Pooya Shariatpanahi, Antti Tölli:
Coded Multi-User Information Retrieval with a Multi-Antenna Helper Node. - Robert Jendersie, Christian Lessig, Thomas Richter:
Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core. - Marc Uecker, J. Marius Zöllner:
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors. - Biswajit Sadhu, Trijit Sadhu, S. Anand:
RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway. - Tianhan Xu, Zhe Hu, Ling Chen, Bin Li:
SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models. - Arcangelo Massari, Silvio Peroni:
HERITRACE: Tracing Evolution and Bridging Data for Streamlined Curatorial Work in the GLAM Domain. - Adam Sky, Andreas Zilian:
Symmetric unisolvent equations for linear elasticity purely in stresses. - Li-Jun Zhao, Zhen-Duo Chen, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu:
Bias Mitigating Few-Shot Class-Incremental Learning. - Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo:
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. - Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert:
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. - María José Belda, Katzalin Olcoz, Fernando Castro, Francisco Tirado:
Optimization of a Line Detection Algorithm for Autonomous Vehicles on a RISC-V with Accelerator. - Roberto Gorrieri:
Axiomatizing NFAs Generated by Regular Grammars. - Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. - Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Towards Summarizing Code Snippets Using Pre-Trained Transformers. - Mingze Wang, Weinan E:
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling. - Lukas Radl, Michael Steiner, Mathias Parger, Alexander Weinrauch, Bernhard Kerbl, Markus Steinberger:
StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering. - Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou:
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. - Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu:
Preconditioning for Physics-Informed Neural Networks. - Roberto Rodríguez-Rodríguez, Javier Díaz, Fernando Castro, Pablo Ibáñez, Daniel Chaver, Víctor Viñals, Juan Carlos Saez, Manuel Prieto-Matías, Luis Piñuel, Teresa Monreal, José María Llabería:
Reuse Detector: Improving the Management of STT-RAM SLLCs. - Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
A Manifold Representation of the Key in Vision Transformers. - Zhen Li, Chiara Lambranzi, Di Wu, Alice Segato, Federico De Marco, Emmanuel B. Vander Poorten, Jenny Dankelman, Elena De Momi:
Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable Environments. - Miguel Casasnovas, Costas Michaelides, Marc Carrascosa-Zamacois, Boris Bellalta:
Experimental Evaluation of Interactive Edge/Cloud Virtual Reality Gaming over Wi-Fi using Unity Render Streaming. - Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang:
Masked Conditional Diffusion Model for Enhancing Deepfake Detection. - Leroy Chew, Alexis de Colnet, Friedrich Slivovsky, Stefan Szeider:
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL. - Martin Frank, Fabian Holzberger, Medeea Horvat, Jan Kirschke, Matthias Mayr, Markus Muhr, Natalia Nebulishvili, Alexander Popp, Julian Schwarting, Barbara I. Wohlmuth:
Numerical simulation of endovascular treatment options for cerebral aneurysms. - Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva:
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. - Jonathan Mandelbaum, Sisi Miao, Holger Jäkel, Laurent Schmalen:
Endomorphisms of Linear Block Codes. - (Withdrawn) A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification.
- Daofei Li, Tingzhe Yu, Binbin Tang:
A Review of Carsickness Mitigation: Navigating Challenges and Exploiting Opportunities in the Era of Intelligent Vehicles. - K. Swapna Sudha, N. Jeyanthi, Celestine Iwendi:
Secure Supervised Learning-Based Smart Home Authentication Framework. - Ruisheng Gao, Yutong Liu, Zeyu Xiao, Zhiwei Xiong:
Diffusion-based Light Field Synthesis. - Kurt Pasque, Christopher Teska, Ruriko Yoshida, Keiji Miura, Jefferson Huang:
Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks. - Mohammad Rostami:
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay. - Ziwu Song, Ran Yu, Xuan Zhang, Kit Wa Sou, Shilong Mu, Dengfeng Peng, Xiao-Ping Zhang, Wenbo Ding:
SATac: A Thermoluminescence Enabled Tactile Sensor for Concurrent Perception of Temperature, Pressure, and Shear. - Kipp McAdam Freud, Nathan F. Lepora, Matt W. Jones, Cian O'Donnell:
BrainSLAM: SLAM on Neural Population Activity Data. - Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi, Valentina Presutti:
Sandra - A Neuro-Symbolic Reasoner Based On Descriptions And Situations. - Tobias Fuchs, Florian Kalinke, Klemens Böhm:
Uncertainty-Aware Partial-Label Learning. - Julian Frattini:
Identifying relevant Factors of Requirements Quality: an industrial Case Study. - M. Burgess, Robin I. M. Dunbar:
Group Related Phenomena in Wikipedia Edits. - M. Burgess, Robin I. M. Dunbar:
A Promise Theory Perspective on the Role of Intent in Group Dynamics. - Guo Pu, Shiyao Xu, Xixin Cao, Zhouhui Lian:
Dynamic Texture Transfer using PatchMatch and Transformers. - Fanzhe Fu, Junru Chen, Jing Zhang, Carl Yang, Lvbin Ma, Yang Yang:
Are Synthetic Time-series Data Really not as Good as Real Data? - Georgios Vardakas, Ioannis Papakostas, Aristidis Likas:
Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters. - Julien Allali, Adrien Boussicault, Cyprien Brocaire, Céline Dobigeon, Marc Duclusaud, Clément Gaspard, Hugo Gimbert, Loïc Gondry, Olivier Ly, Grégoire Passault, Antoine Pirrone:
Rhoban Football Club: RoboCup Humanoid Kid-Size 2023 Champion Team Paper. - Ana Baric, Sean Papay, Sebastian Padó:
Actor Identification in Discourse: A Challenge for LLMs? - Vignesh V. Menon, Adam Wieckowski, Jens Brandenburg, Benjamin Bross, Thomas Schierl, Detlev Marpe:
Gain of Grain: A Film Grain Handling Toolchain for VVC-based Open Implementations. - Sergey Goncharov, Stefan Milius, Stelios Tsampas, Henning Urbat:
Bialgebraic Reasoning on Higher-Order Program Equivalence. - Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer:
Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. - Chao Liang, Fan Ma, Linchao Zhu, Yingying Deng, Yi Yang:
CapHuman: Capture Your Moments in Parallel Universes. - Zhanhong Tan, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. - Yang Li, Songlin Yang, Wei Wang, Jing Dong:
Beyond Inserting: Learning Identity Embedding for Semantic-Fidelity Personalized Diffusion Generation. - Giulio Zhou, Tsz Kin Lam, Alexandra Birch, Barry Haddow:
Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases. - Arindam Das, Sudarshan Paul, Niko Scholz, Akhilesh Kumar Malviya, Ganesh Sistu, Ujjwal Bhattacharya, Ciarán Eising:
Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View. - Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato Abad, Manuel Rodríguez Yáñez, Sonia Suárez Garaboa, Iria Lopez-Dequidt, Ana Estany-Gestal, Tomás Sobrino, Francisco Campos, José Castillo, Santiago Rodríguez Yáñez, Ramón Iglesias-Rey:
Random Forest-Based Prediction of Stroke Outcome. - Gilles Barthe, Marcel Böhme, Sunjay Cauligi, Chitchanok Chuengsatiansup, Daniel Genkin, Marco Guarnieri, David Mateos Romero, Peter Schwabe, David Wu, Yuval Yarom:
Testing side-channel security of cryptographic implementations against future microarchitectures. - Thien Duc Hua, Mohammadali Mohammadi, Hien Quoc Ngo, Michail Matthaiou:
Cell-Free Massive MIMO SWIPT with Beyond Diagonal Reconfigurable Intelligent Surfaces. - Nicolas Bueno, Fernando Castro, Luis Piñuel, José Ignacio Gómez Pérez, Francky Catthoor:
Improving the Representativeness of Simulation Intervals for the Cache Memory System. - Maxim Snoep, Bettina Speckmann, Kevin Verbeek:
Polycube Layouts via Iterative Dual Loops. - Diyi Liu, Hyeonsup Lim, Majbah Uddin, Yuandong Liu, Lee D. Han, Ho-Ling Hwang, Shih-Miao Chin:
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques. - Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. - Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty:
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing. - Majbah Uddin, Sabreena Anowar, Naveen Eluru:
Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow Survey (CFS) Data. - Raul Fernandez-Fernandez, Bartek Lukawski, Juan G. Victores, Claudio Pacchierotti:
Transferring human emotions to robot motions using Neural Policy Style Transfer. - Andrey Prokopenko, Damien Lebrun-Grandié:
Revising Apetrei's bounding volume hierarchy construction algorithm to allow stackless traversal. - Jitao Sang, Yuhang Wang, Jing Zhang, Yanxu Zhu, Chao Kong, Junhong Ye, Shuyu Wei, Jinlin Xiao:
Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning. - Markus Haltmeier, Gyeongha Hwang:
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution. - Andres Pulido, Kyle Volle, Kristy Waters, Zachary I. Bell, Prashant Ganesh, Jane Shin:
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning. - Lingfeng He, De Cheng, Nannan Wang, Xinbo Gao:
Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID. - Yanze Yang, Yiran Jia, Guangwu Xu:
On Modular Algorithms and Butterfly Operations in Number Theoretic Transform. - Raul Fernandez-Fernandez, Juan G. Victores, Carlos Balaguer:
Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching. - Raul Fernandez-Fernandez, Juan G. Victores, Jennifer J. Gago, David Estevez, Carlos Balaguer:
Neural Policy Style Transfer. - Raul Fernandez-Fernandez, Juan G. Victores, David Estevez, Carlos Balaguer:
Real Evaluations Tractability using Continuous Goal-Directed Actions in Smart City Applications. - Johannes Teutsch, Sebastian Kerz, Dirk Wollherr, Marion Leibold:
Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty. - Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Girish Chowdhary:
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness. - Joey Ah-kiow, Benjamin Tan:
An Investigation of Hardware Security Bug Characteristics in Open-Source Projects. - Yohance A. P. Osborne, Iain Smears:
Near and full quasi-optimality of finite element approximations of stationary second-order mean field games. - Tiago M. Fernández-Caramés, Paula Fraga-Lamas:
A Review on the Use of Blockchain for the Internet of Things. - Ran Elgedawy, John Sadik, Senjuti Dutta, Anuj Gautam, Konstantinos Georgiou, Farzin Gholamrezae, Fujiao Ji, Kyungchan Lim, Qian Liu, Scott Ruoti:
Ocassionally Secure: A Comparative Analysis of Code Generation Assistants. - Junqi Yin, Avishek Bose, Guojing Cong, Isaac Lyngaas, Quentin Anthony:
Comparative Study of Large Language Model Architectures on Frontier. - Ilyass Abouelaziz, Youssef Mourchid:
A Framework for Building Point Cloud Cleaning, Plane Detection and Semantic Segmentation. - Laurent Colbois, Hatef Otroshi-Shahreza, Sébastien Marcel:
Approximating Optimal Morphing Attacks using Template Inversion. - Tommaso Benciolini, Yuntian Yan, Dirk Wollherr, Marion Leibold:
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving. - Mohamed Abuella, Hadi Fanaee Tork, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani:
Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping. - Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. - Ziya Ata Yazici, Sara Colantonio, Hazim Kemal Ekenel:
In-Bed Pose Estimation: A Review. - Bin Zhao, Pengfei Han, Xuelong Li:
Vehicle Perception from Satellite. - Elizaveta Sivak, Paulina Pankowska, Adriënne Mendrik, Tom Emery, Javier Garcia-Bernardo, Seyit Hocuk, Kasia Karpinska, Angelica Maineri, Joris Mulder, Malvina Nissim, Gert Stulp:
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer). - Dennis Ulmer, Chrysoula Zerva, André F. T. Martins:
Non-Exchangeable Conformal Language Generation with Nearest Neighbors. - Laura Duarte, Miguel Neves, Pedro Neto:
Benchmarking human-robot collaborative assembly tasks. - Tiago M. Fernández-Caramés, Óscar Blanco-Novoa, Iván Froiz-Míguez, Paula Fraga-Lamas:
Towards an autonomous industry 4.0 warehouse: A UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management. - Pirmin Lemberger, Antoine Saillenfest:
Explaining Text Classifiers with Counterfactual Representations. - Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine:
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. - Kristina Dzeparoska, Ali Tizghadam, Alberto Leon-Garcia:
Intent Assurance using LLMs guided by Intent Drift. - Zizhou Huang, Max Paik, Zachary Ferguson, Daniele Panozzo, Denis Zorin:
Orientation-aware Incremental Potential Contact. - Raul Fernandez-Fernandez, Marco Aggravi, Paolo Robuffo Giordano, Juan G. Victores, Claudio Pacchierotti:
Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators. - Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas:
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. - Jan Valosek, Theo Mathieu, Raphaelle Schlienger, Olivia S. Kowalczyk, Julien Cohen-Adad:
Automatic Segmentation of the Spinal Cord Nerve Rootlets. - Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. - Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang:
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads. - Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
MobilityDL: A Review of Deep Learning From Trajectory Data. - Torec T. Luik, Rodrigo Rosas-Bertolini, Eric A. J. Reits, Ron A. Hoebe, Przemek M. Krawczyk:
BIOMERO: BioImage analysis in OMERO. - Giovanni S. Alberti, Romain Petit, Matteo Santacesaria:
Localization of point scatterers via sparse optimization on measures. - Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. - Weixing Xie, Xiao Dong, Yong Yang, Qiqin Lin, Jingze Chen, Junfeng Yao, Xiaohu Guo:
DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras. - Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. - Yue Xing, Xiaofeng Lin, Namjoon Suh, Qifan Song, Guang Cheng:
Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. - Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang, Zunnan Xu, Qinmei Xu, Jingquan Liu, Jiasheng Lu, Xiu Li:
BATON: Aligning Text-to-Audio Model with Human Preference Feedback. - Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas:
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. - Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng:
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot:
Unlearnable Algorithms for In-context Learning. - Letian Huang, Jiayang Bai, Jie Guo, Yuanqi Li, Yanwen Guo:
On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy. - Sahil Sidheekh, Sriraam Natarajan:
Building Expressive and Tractable Probabilistic Generative Models: A Review. - Jacob G. Elkins, Farbod Fahimi:
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems. - Jiayang Bai, Letian Huang, Jie Guo, Wen Gong, Yuanqi Li, Yanwen Guo:
360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming. - Ryan Yen, Nicole Sultanum, Jian Zhao:
To Search or To Gen? Exploring the Synergy between Generative AI and Web Search in Programming. - Fu-Yun Wang, Zhaoyang Huang, Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li:
AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning. - Zhenyu Li, Ozan Alp Topal, Özlem Tugfe Demir, Emil Björnson, Cicek Cavdar:
Mixed Static and Reconfigurable Metasurface Deployment in Indoor Dense Spaces: How Much Reconfigurability is Needed? - Ge Chen, Junjie Qin:
On the Choice of Loss Function in Learning-based Optimal Power Flow. - Ottar Hellan:
Mesh motion in fluid-structure interaction with deep operator networks. - Andreas Christou, Antonio J. del Ama, Juan C. Moreno, Sethu Vijayakumar:
Adaptive Control for Triadic Human-Robot-FES Collaboration in Gait Rehabilitation: A Pilot Study. - Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Dense Reward for Free in Reinforcement Learning from Human Feedback. - Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo:
CroissantLLM: A Truly Bilingual French-English Language Model. - Benjamin Patrick Evans, Sumitra Ganesh:
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning. - Chloe Wang, Oleksii Tsepa, Jun Ma, Bo Wang:
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces. - Tiago M. Fernández-Caramés:
From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things. - Enrico Malizia:
Hausdorff Reductions and the Exponential Hierarchies. - Rohan Alur, Manish Raghavan, Devavrat Shah:
Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction. - Zhixue Zhao, Boxuan Shan:
ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models. - Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati, Christopher J. Earls:
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law. - Zelong Li, Wenyue Hua, Hao Wang, He Zhu, Yongfeng Zhang:
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents. - Chufan Gao, Nicholas Gisolfi, Artur Dubrawski:
Signal Quality Auditing for Time-series Data. - Shangzhe Li, Xinhua Zhang:
Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching. - Marta Mondellini, Matteo Lavit Nicora, Pooja Prajod, Elisabeth André, Rocco Vertechy, Alessandro Antonietti, Matteo Malosio:
Exploring the Dynamics between Cobot's Production Rhythm, Locus of Control and Emotional State in a Collaborative Assembly Scenario. - Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. - Alexander W. Goodall, Francesco Belardinelli:
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments. - Xiang Zhang, Jingyang Huang, Huan Yan, Peng Zhao, Guohang Zhuang, Zhi Liu, Bin Liu:
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework. - David Emukpere, Bingbing Wu, Julien Perez, Jean-Michel Renders:
SLIM: Skill Learning with Multiple Critics. - Jianguo Huang, Yue Qiu:
Resolution invariant deep operator network for PDEs with complex geometries. - (Withdrawn) Emo-Avatar: Efficient Monocular Video Style Avatar through Texture Rendering.
- Danny Krizanc, Lata Narayanan, Jaroslav Opatrny, Denis Pankratov:
The En Route Truck-Drone Delivery Problem. - Denis Havlik, Marcelo Pias:
Common errors in Generative AI systems used for knowledge extraction in the climate action domain. - Elif Ak, Kiymet Kaya, Eren Ozaltun, Sule Gündüz Ögüdücü, Berk Canberk:
A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks. - Yuhang Bai, Kristóf Bérczi, Gergely Kál Csáji, Tamás Schwarcz:
Approximating maximum-size properly colored forests. - Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee:
ALISON: Fast and Effective Stylometric Authorship Obfuscation. - Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. - Kiymet Kaya, Elif Ak, Sumeyye Bas, Berk Canberk, Sule Gündüz Ögüdücü:
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System. - Xue-Yong Fu, Md. Tahmid Rahman Laskar, Elena Khasanova, Cheng Chen, Shashi Bhushan TN:
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? - Subhankar Banerjee, Sennur Ulukus:
When to Preempt in a Status Update System? - Frank Rösler, Alexei Stepanenko:
Computing scattering resonances of rough obstacles. - Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman:
BootsTAP: Bootstrapped Training for Tracking-Any-Point. - Irina V. Limonova, Yuri Malykhin, Vladimir N. Temlyakov:
One-sided discretization inequalities and sampling recovery. - Burak Varici, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, Ali Tajer:
Score-based Causal Representation Learning: Linear and General Transformations. - Mitali Bafna, Noam Lifshitz, Dor Minzer:
Constant Degree Direct Product Testers with Small Soundness. - Christoph Lange, Isabel Thiele, Lara Santolin, Sebastian L. Riedel, Maxim Borisyak, Peter Neubauer, Mariano Nicolás Cruz Bournazou:
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations. - Joshua A. Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi:
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields. - Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter:
SymbolicAI: A framework for logic-based approaches combining generative models and solvers. - Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient and Exact Optimization of Language Model Alignment. - Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano:
Early Time Classification with Accumulated Accuracy Gap Control. - Yilun Zhu, Joel Ruben Antony Moniz, Shruti Bhargava, Jiarui Lu, Dhivya Piraviperumal, Site Li, Yuan Zhang, Hong Yu, Bo-Hsiang Tseng:
Can Large Language Models Understand Context? - Yucheng Li, Yunhao Guo, Frank Guerin, Chenghua Lin:
Evaluating Large Language Models for Generalization and Robustness via Data Compression. - Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. - Jiahua Dong, Yu-Xiong Wang:
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. - Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. - Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov:
AToM: Amortized Text-to-Mesh using 2D Diffusion. - Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. - Mohana Prasad Sathya Moorthy:
Prioritising Interactive Flows in Data Center Networks With Central Control. - Uyoy Ial:
Research on Resource Allocation under Unlicensed Spectrum Using Q-Learning. - Gaosheng Liu, Lin Wang:
Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing. - Asad Aftab, Semeen Rehman:
dRG-MEC: Decentralized Reinforced Green Offloading for MEC-enabled Cloud Network. - Ramesh Kumar Sah, Hassan Ghasemzadeh:
Minimum-Cost Sensor Channel Selection For Wearable Computing. - Siavash M. Alamouti, Fay Arjomandi, Michel Burger, Bashar Altakrouri:
Building Blocks to Empower Cognitive Internet with Hybrid Edge Cloud. - Hossein Yektamoghadam, Amirhossein Nikoofard, Fatemeh Pourhanifeh Doust, Mehdi Delrobaei:
A Review on Recent Energy Harvesting Methods for Increasing Battery Efficiency in WBANs. - Fabian Jaensch, Giuseppe Caire, Begüm Demir:
Radio Map Estimation - An Open Dataset with Directive Transmitter Antennas and Initial Experiments. - Zhouyou Gu, Branka Vucetic, Kishore Chikkam, Pasquale Aliberti, Wibowo Hardjawana:
Graph Representation Learning for Contention and Interference Management in Wireless Networks. - Adilya Bakambekova, Nour Kouzayha, Tareq Y. Al-Naffouri:
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey. - Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu:
Security and Privacy Challenges of Large Language Models: A Survey. - Martin Duclos, Ivan A. Fernandez, Kaneesha Moore, Sudip Mittal, Edward Zieglar:
Utilizing Large Language Models to Translate RFC Protocol Specifications to CPSA Definitions. - Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi, Feng Cheng, Christoph Meinel:
Large Language Models in Cybersecurity: State-of-the-Art. - Shijia Liao, Shiyi Lan, Arun George Zachariah:
EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks. - Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang:
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. - Alka Luqman, Riya Mahesh, Anupam Chattopadhyay:
Privacy and Security Implications of Cloud-Based AI Services : A Survey. - Adam Pluta, Zbigniew Pioch, Jedrzej Kardach, Piotr Ziolo, Tomasz Krecicki, Elzbieta Trypka:
Screening method for early dementia using sound objects as voice biomarkers. - Sippo Rossi, Alisia Marianne Michel, Raghava Rao Mukkamala, Jason Bennett Thatcher:
An Early Categorization of Prompt Injection Attacks on Large Language Models. - Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison:
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. - Alex Grzankowski:
Real Sparks of Artificial Intelligence and the Importance of Inner Interpretability. - Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. - Chanathip Pornprasit, Chakkrit Tantithamthavorn:
GPT-3.5 for Code Review Automation: How Do Few-Shot Learning, Prompt Design, and Model Fine-Tuning Impact Their Performance? - Hamed Poursiami, Ihsen Alouani, Maryam Parsa:
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks. - Ruihan Zhou, L. Jeff Hong, Yijie Peng:
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems. - Mudit Bachhawat:
Generalizing GradCAM for Embedding Networks. - Ahmed Radwan, Layan Zaafarani, Jetana Abudawood, Faisal AlZahrani, Fares Fourati:
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning. - Jack Furby, Daniel Cunnington, Dave Braines, Alun D. Preece:
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features? - V. K. Cody Bumgardner, Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert:
Institutional Platform for Secure Self-Service Large Language Model Exploration. - Praveen Kumar Pokala, Jaya Sai Kiran Patibandla, Naveen Kumar Pandey, Pailla Balakrishna Reddy:
MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation. - Jawad Hussain Kalwar, Sania Bhatti:
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey. - Nina Chiarelli, Clément Dallard, Andreas Darmann, Stefan Lendl, Martin Milanic, Peter Mursic, Ulrich Pferschy:
Allocation of Indivisible Items with a Common Preference Graph: Minimizing Total Dissatisfaction. - Tiago M. Fernández-Caramés, Paula Fraga-Lamas:
Towards post-quantum blockchain: A review on blockchain cryptography resistant to quantum computing attacks. - Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail A. Makridis:
The Fragile Nature of Road Transportation Systems. - Óscar Blanco-Novoa, Tiago M. Fernández-Caramés, Paula Fraga-Lamas, Miguel Vilar-Montesinos:
A Practical Evaluation of Commercial Industrial Augmented Reality Systems in an Industry 4.0 Shipyard. - Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun:
Approximate Nearest Neighbor Search with Window Filters. - Albert Cohen, Olga Mula, Agustín Somacal:
High order recovery of geometric interfaces from cell-average data. - E. C. Diniz, O. P. de Sá Neto:
Nanomechanically Induced Transparency. - Parsa Alian, Noor Nashid, Mobina Shahbandeh, Ali Mesbah:
Bridging Semantics for Automated Web Form Testing. - Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry. - Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard:
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. - Philipp Wicke, Lennart Wachowiak:
Exploring Spatial Schema Intuitions in Large Language and Vision Models. - Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin:
Credal Learning Theory. - Ignacio Fábregas, Miguel Palomino, David de Frutos-Escrig:
Reflection and Preservation of Properties in Coalgebraic (bi)Simulations. - David de Frutos-Escrig, Miguel Palomino, Ignacio Fábregas:
Multiset Bisimulations as a Common Framework for Ordinary and Probabilistic Bisimulations. - Ignacio Fábregas, David de Frutos-Escrig, Miguel Palomino:
Non-strongly Stable Orders Also Define Interesting Simulation Relations. - Ignacio Fábregas, David de Frutos-Escrig, Miguel Palomino:
Logics for Contravariant Simulations. - Aaron D. Mullen, Samuel E. Armstrong, Jasmine Perdeh, Bjorn Bauer, Jeffrey Talbert, V. K. Cody Bumgardner:
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats. - Luca Aceto, Ignacio Fábregas, David de Frutos-Escrig, Anna Ingólfsdóttir, Miguel Palomino:
On the specification of modal systems: A comparison of three frameworks. - Diego Bustamante, Hideaki Takeda:
SPARQL Generation with Entity Pre-trained GPT for KG Question Answering. - Luca Aceto, Dario Della Monica, Ignacio Fábregas, Anna Ingólfsdóttir:
When Are Prime Formulae Characteristic? - Aytekin Erdogan, Erdem Akagündüz:
FuseFormer: A Transformer for Visual and Thermal Image Fusion. - Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos:
Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning. - Luca Aceto, Ignacio Fábregas, Carlos Gregorio-Rodríguez, Anna Ingólfsdóttir:
Logical characterisations, rule formats and compositionality for input-output conformance simulation. - Jishnu Ray Chowdhury, Cornelia Caragea:
Recurrent Transformers with Dynamic Halt. - Won-Hoe Kim, Bongjoong Kim, Hyung-Gun Chi, Jae-Sang Hyun:
Enhanced fringe-to-phase framework using deep learning. - Luran Wang, Mark J. F. Gales, Vatsal Raina:
An Information-Theoretic Approach to Analyze NLP Classification Tasks. - Zeinab Gharibi, Mehdi Dehghan:
Analysis of weak Galerkin mixed FEM based on the velocity-pseudostress formulation for Navier-Stokes equation on polygonal meshes. - Luca Aceto, Ignacio Fábregas, Álvaro García-Pérez, Anna Ingólfsdóttir, Yolanda Ortega-Mallén:
Rule Formats for Nominal Process Calculi. - Brian Homerding, Atmn Patel, Enrico Armenio Deiana, Yian Su, Zujun Tan, Ziyang Xu, Bhargav Reddy Godala, David I. August, Simone Campanoni:
The Parallel Semantics Program Dependence Graph. - Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett:
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. - Annika Meyer, Christoph Stiller:
YOLinO++: Single-Shot Estimation of Generic Polylines for Mapless Automated Diving. - Kirolos Attallah, Girgis Zaky, Nourhan Abdelrhim, Kyrillos Botros, Amjad Dife, Nermin K. Negied:
A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs). - Sakila S. Jayaweera, Sai Deepika Regani, Yuqian Hu, Beibei Wang, K. J. Ray Liu:
mmID: High-Resolution mmWave Imaging for Human Identification. - Levon Aslanyan, Irina Arsenyan, Vilik Karakhanyan, Hasmik Sahakyan:
RDNF Oriented Analytics to Random Boolean Functions. - Xinliang Dai, Alexander Kocher, Jovana Kovacevic, Burak Dindar, Yuning Jiang, Colin N. Jones, Hüseyin Kemâl Çakmak, Veit Hagenmeyer:
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework. - Nouar AlDahoul, Talal Rahwan, Yasir Zaki:
AI-generated faces free from racial and gender stereotypes. - Avital Baral, Taylor Reynolds, Lawrence Susskind, Daniel J. Weitzner, Angelina Wu:
Municipal cyber risk modeling using cryptographic computing to inform cyber policymaking. - Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando:
CF4J: Collaborative Filtering for Java. - Pedro H. Azevedo de Amorim:
Compositional Expected Cost Analysis of Functional Probabilistic Programs. - Dong Wu, Xiaojing Tang, Shuaihao Zhang, Xiangyu Hu:
A generalized essentially non-hourglass total Lagrangian SPH solid dynamics. - Jason Yang:
Ruling Out Low-rank Matrix Multiplication Tensor Decompositions with Symmetries via SAT. - Naresh Kshetri, Dilip Kumar, James Hutson, Navneet Kaur, Omar Faruq Osama:
algoXSSF: Detection and analysis of cross-site request forgery (XSRF) and cross-site scripting (XSS) attacks via Machine learning algorithms. - Weijie Xu, Zicheng Huang, Wenxiang Hu, Xi Fang, Rajesh Kumar Cherukuri, Naumaan Nayyar, Lorenzo Malandri, Srinivasan H. Sengamedu:
HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent. - Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu:
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis. - Jason Lo:
Quantifying analogy of concepts via ologs and wiring diagrams. - Sigma Jahan, Mehil B. Shah, Mohammad Masudur Rahman:
Towards Understanding the Challenges of Bug Localization in Deep Learning Systems. - Zeping Sui, Hongming Zhang, Hien Quoc Ngo, Michail Matthaiou, Lajos Hanzo:
On the BER vs. Bandwidth-Efficiency Trade-offs in Windowed OTSM Dispensing with Zero-Padding. - Xianghe Ma, Michael Strube, Wei Zhao:
Graph-based Clustering for Detecting Semantic Change Across Time and Languages. - Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. - Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach:
Repeat After Me: Transformers are Better than State Space Models at Copying. - Juseong Park, Foad Sohrabi, Amitava Ghosh, Jeffrey G. Andrews:
End-to-End Deep Learning for TDD MIMO Systems in the 6G Upper Midbands. - Gautier Dagan, Gabriel Synnaeve, Baptiste Rozière:
Getting the most out of your tokenizer for pre-training and domain adaptation. - Fatemeh Jafarian, Mehrdad Ardebilipour, Mohammadali Mohammadi, Michail Matthaiou:
Wireless Information Surveillance via STAR-RIS. - Dianna Vidas, Romina Carrasco, Ryan M. Kelly, Jenny Waycott, Jeanette Tamplin, Kate McMahon, Libby M. Flynn, Phoebe A. Stretton-Smith, Tanara Vieira Sousa, Felicity A. Baker:
Everyday Uses of Music Listening and Music Technologies by Caregivers and People with Dementia: Survey and Focus Group Study. - Ayush Jain, Ehsan Haghighat, Sai Nelaturi:
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures. - Zhixing Jiang, Dennis Yin, Elham E Khoda, Vladimir Loncar, Ekaterina Govorkova, Eric A. Moreno, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu:
Ultra Fast Transformers on FPGAs for Particle Physics Experiments. - Zikang Leng, Amitrajit Bhattacharjee, Hrudhai Rajasekhar, Lizhe Zhang, Elizabeth Bruda, Hyeokhyen Kwon, Thomas Plötz:
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition. - Andrew Brown, Jiading Zhu, Mohamed Abdelwahab, Alec Dong, Cindy Wang, Jonathan Rose:
Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model. - Diogo Glória-Silva, Rafael Ferreira, Diogo Tavares, David Semedo, João Magalhães:
Plan-Grounded Large Language Models for Dual Goal Conversational Settings. - Mingyuan Zhang, Shivani Agarwal:
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures. - Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee:
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning. - Shakil Rafi, Joshua Lee Padgett, Ukash Nakarmi:
Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials. - Eunhyek Joa, Eric Yongkeun Choi, Francesco Borrelli:
Eco-driving under localization uncertainty for connected vehicles on Urban roads: Data-driven approach and Experiment verification. - Meredith L. Hooper, Isabel Scherl, Morteza Gharib:
Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors. - Fatemeh Zahra Safaeipour, Morteza Hashemi:
Semantic-Aware and Goal-Oriented Communications for Object Detection in Wireless End-to-End Image Transmission. - Adar Kahana, Jaya Susan Mathew, Said Bleik, Jeremy Reynolds, Oren Elisha:
Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer. - Jungwon Seo, Chunming Rong, Minhoe Kim:
FedShift: Tackling Dual Heterogeneity Problem of Federated Learning via Weight Shift Aggregation. - Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh:
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities. - Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta:
Neural Models and Algorithms for Sensorimotor Control of an Octopus Arm. - Zehao Dong, Yixin Chen, Tianyu Zhao:
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks. - Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. - Yotam Dikstein, Irit Dinur, Alexander Lubotzky:
Low Acceptance Agreement Tests via Bounded-Degree Symplectic HDXs. - David O'Brien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan:
Data-Driven Evidence-Based Syntactic Sugar Design. - Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter:
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. - Sung-Ho Cho, Kei Kimura, Kiki Liu, Kwei-guu Liu, Zhengjie Liu, Zhaohong Sun, Kentaro Yahiro, Makoto Yokoo:
Fairness and efficiency trade-off in two-sided matching. - Junpeng Gao, Mike Yan Michelis, Andrew Spielberg, Robert K. Katzschmann:
Sim-to-Real of Soft Robots with Learned Residual Physics. - Jake Levi, Chris Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster:
The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games. - Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. - David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun:
Specialized Language Models with Cheap Inference from Limited Domain Data. - Keisuke Kawano, Takuro Kutsuna, Keisuke Sano:
How many views does your deep neural network use for prediction? - Wenqi Wei, Ling Liu:
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. - Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Gholamreza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. - Luca Della Libera, Jacopo Andreoli, Davide Dalle Pezze, Mirco Ravanelli, Gian Antonio Susto:
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. - Yilun Du, Leslie Pack Kaelbling:
Compositional Generative Modeling: A Single Model is Not All You Need. - Zhitong He, Lingxi Li:
Simulation Framework for Vehicle and Electric Scooter Interaction. - Haoxiang Gao, Yaqian Li, Kaiwen Long, Ming Yang, Yiqing Shen:
A Survey for Foundation Models in Autonomous Driving. - Advaith Venkatramanan Sethuraman, Philip D. Baldoni, Katherine A. Skinner, James McMahon:
Learning Which Side to Scan: Multi-View Informed Active Perception with Side Scan Sonar for Autonomous Underwater Vehicles. - Artur Back de Luca, Kimon Fountoulakis:
Simulation of Graph Algorithms with Looped Transformers. - Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka:
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. - Tiansheng Huang, Sihao Hu, Ling Liu:
Vaccine: Perturbation-aware Alignment for Large Language Model. - Dan Qiao, Yu-Xiang Wang:
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints. - Arezoo Rajabi, Reeya Pimple, Aiswarya Janardhanan, Surudhi Asokraj, Bhaskar Ramasubramanian, Radha Poovendran:
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization. - William Jongwon Han, Diana Gómez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao:
Interpretation of Intracardiac Electrograms Through Textual Representations. - Hansung Kim, Siddharth H. Nair, Francesco Borrelli:
Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions. - Mohammadreza Pourreza, Davood Rafiei:
DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models. - Sihao Hu, Tiansheng Huang, Ling Liu:
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. - James P. Wilson, Shalabh Gupta, Thomas A. Wettergren:
Generalized Multi-Speed Dubins Motion Model. - Jiaxuan Chen, Jieteng Yao, Li Niu:
A Single Simple Patch is All You Need for AI-generated Image Detection. - Honglei Zhang, He Liu, Haoxuan Li, Yidong Li:
TransFR: Transferable Federated Recommendation with Pre-trained Language Models. - Douglas Poland, Amar Saini:
Seeing Objects in a Cluttered World: Computational Objectness from Motion in Video. - Jiahui Zhang, Yinhua Xia, Yan Xu:
Equilibrium preserving space in discontinuous Galerkin methods for hyperbolic balance laws. - Zequan Chen, Jianping Li, Qusheng Li, Bisheng Yang, Zhen Dong:
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping. - Jiabao Fang, Shen Gao, Pengjie Ren, Xiuying Chen, Suzan Verberne, Zhaochun Ren:
A Multi-Agent Conversational Recommender System. - Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery. - Di Fan, Chuanhou Gao:
Learning Network Representations with Disentangled Graph Auto-Encoder. - Qi Cheng, Hongru Cao, Sian-Jheng Lin, Nenghai Yu:
A Construction of Evolving k-threshold Secret Sharing Scheme over A Polynomial Ring. - Haoran Ye, Jiarui Wang, Zhiguang Cao, Guojie Song:
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. - Hilal AlQuabeh, William de Vazelhes, Bin Gu:
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging. - Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi:
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. - Bum Jun Kim, Sang Woo Kim:
Scale Equalization for Multi-Level Feature Fusion. - Abraham Toluwase Owodunni, Aditya Yadavalli, Chris Chinenye Emezue, Tobi Olatunji, Clinton C. Mbataku:
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents. - Guangfeng Yan, Shanxiang Lyu, Hanxu Hou, Zhiyong Zheng, Linqi Song:
Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients. - Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance based Noise Reduction for Table Question Answering. - Yongkun Liu, Jiachi Chen, Tingting Bi, John C. Grundy, Yanlin Wang, Ting Chen, Yutian Tang, Zibin Zheng:
An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support. - Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu:
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. - Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan:
LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning. - Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi Song:
Truncated Non-Uniform Quantization for Distributed SGD. - Hanwei Zhu, Xiangjie Sui, Baoliang Chen, Xuelin Liu, Peilin Chen, Yuming Fang, Shiqi Wang:
2AFC Prompting of Large Multimodal Models for Image Quality Assessment. - Weiliang Chan, Qianqian Ren, Jinbao Li:
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning. - Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu:
A Comprehensive Survey on 3D Content Generation. - Mohammadreza Tayaranian, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation. - Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn:
Streaming Sequence Transduction through Dynamic Compression. - Hanlin Zhu, Banghua Zhu, Jiantao Jiao:
Efficient Prompt Caching via Embedding Similarity. - Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu:
Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus. - Guangjin Pan, Shugong Xu, Shunqing Zhang, Xiaojing Chen, Yanzan Sun:
Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling. - Zhenya Yang, Yonghao Long, Kai Chen, Wang Wei, Qi Dou:
Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot. - Meishan Zhang, Bin Wang, Hao Fei, Min Zhang:
In-Context Learning for Few-Shot Nested Named Entity Recognition. - Dohyun Kim, Nayoung Oh, Deokmin Hwang, Daehyung Park:
LINGO-Space: Language-Conditioned Incremental Grounding for Space. - Chao Liu, Ting Zhao, Nenggan Zheng:
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning. - Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon:
Segment Any Change. - Wentao Chen, Jiwei Li, Xichen Xu, Hui Huang, Siyu Yuan, Miao Zhang, Tianming Xu, Jie Luo, Weimin Zhou:
Unsupervised Generation of Pseudo Normal PET from MRI with Diffusion Model for Epileptic Focus Localization. - Henrik Schopmans, Pascal Friederich:
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations. - Trong Duy Tran, Maxime Ferreira Da Costa, Linh-Trung Nguyen:
Physical Layer Location Privacy in SIMO Communication Using Fake Paths Injection. - Wenhao Jiang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang Yang, Xiao-Ping Zhang:
Few-Shot Class-Incremental Learning with Prior Knowledge. - Mathias Fleury, Daniela Kaufmann:
Life span of SAT techniques. - Yi-Fu Wu, Minseung Lee, Sungjin Ahn:
Structured World Modeling via Semantic Vector Quantization. - Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng:
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. - Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam, Abul Al Arabi, Md Sanzid Bin Hossain, Md. Saad Ul Haque:
Comparative Evaluation of Weather Forecasting using Machine Learning Models. - Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio:
Efficient Causal Graph Discovery Using Large Language Models. - Md Shazid Islam, Md Saydur Rahman, Md. Saad Ul Haque, Farhana Akter Tumpa, Md Sanzid Bin Hossain, Abul Al Arabi:
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning. - Yuchan Jie, Yushen Xu, Xiaosong Li, Haishu Tan:
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network. - Robin Bruneel, Mathijs Schuurmans, Panagiotis Patrinos:
Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models. - Max van Meer, Gert Witvoet, Tom Oomen:
Robust Commutation Design: Applied to Switched Reluctance Motors. - Yaokun Li, Chao Gou, Guang Tan:
Taming Uncertainty in Sparse-view Generalizable NeRF via Indirect Diffusion Guidance. - Roberto Natella, Pietro Liguori, Cristina Improta, Bojan Cukic, Domenico Cotroneo:
AI Code Generators for Security: Friend or Foe? - Zhaoyu Chen, Zhengyang Shan, Jingwen Chang, Kaixun Jiang, Dingkang Yang, Yiting Cheng, Wenqiang Zhang:
Delving into Decision-based Black-box Attacks on Semantic Segmentation. - Maria Corte-Real Santos, Craig Costello, Benjamin Smith:
Efficient (3, 3)-isogenies on fast Kummer surfaces. - Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. - Yi Chang, Zhao Ren, Zixing Zhang, Xin Jing, Kun Qian, Xi Shao, Bin Hu, Tanja Schultz, Björn W. Schuller:
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. - Christian Ortlieb, Jens M. Schmidt:
Trees and co-trees in planar 3-connected planar graphs An easier proof via Schnyder woods. - Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou:
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. - Jesus-Pablo Toledo-Zucco, Denis Matignon, Charles Poussot-Vassal:
Scattering-Passive Structure-Preserving Finite Element Method for the Boundary Controlled Transport Equation with a Moving Mesh. - Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang:
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training. - Guanlin Li, Shuai Yang, Jie Zhang, Tianwei Zhang:
PRIME: Protect Your Videos From Malicious Editing. - Wolf Rieder, Philip Raschke, Thomas Cory:
Beyond the Request: Harnessing HTTP Response Headers for Cross-Browser Web Tracker Classification in an Imbalanced Setting. - Cristian Sbrolli, Paolo Cudrano, Matteo Matteucci:
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion? - Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. - Serge Kas Hanna:
Short Systematic Codes for Correcting Random Edit Errors in DNA Storage. - Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, Yu Qiao:
LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving. - Miriam Fdez-Díaz, José Ramón Quevedo, Elena Montañés:
Target inductive methods for zero-shot regression. - Haolei Pei, Yuanyuan Xu, Yangping Zhu, Yuan Nie:
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation. - Zihan Yu, Yuqing Tang:
Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation. - Stefka Bouyuklieva, Iliya Bouyukliev:
Enumeration of linear codes with different hulls. - Victor H. Lutfalla, Kévin Perrot:
Polygonal corona limit on multigrid dual tilings. - Muhammad Baqer Mollah, Honggang Wang, Hua Fang:
Position Aware 60 GHz mmWave Beamforming for V2V Communications Utilizing Deep Learning. - Hyunjin Seo, Jihun Yun, Eunho Yang:
TEDDY: Trimming Edges with Degree-based Discrimination strategY. - Jary Pomponi, Alessio Devoto, Simone Scardapane:
Cascaded Scaling Classifier: class incremental learning with probability scaling. - Chengrui Li, Weihan Li, Yule Wang, Anqi Wu:
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. - Miriam Fdez-Díaz, Elena Montañés, José Ramón Quevedo:
Direct side information learning for zero-shot regression. - Anastasia Giannakidou, Alda Mari:
The Human and the Mechanical: logos, truthfulness, and ChatGPT. - (Withdrawn) Spectrum-guided Feature Enhancement Network for Event Person Re-Identification.
- Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi:
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. - Timothée Anne, Jean-Baptiste Mouret:
Parametric-Task MAP-Elites. - Jiaqi Shao, Tao Lin, Xuanyu Cao, Bing Luo:
Federated Unlearning: a Perspective of Stability and Fairness. - Zita Abreu, Julia Lieb, Michael Schaller:
An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes. - Lennard Bodden, Franziska Schwaiger, Duc Bach Ha, Lars Kreuzberg, Sven Behnke:
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection. - Jiayu Yang, Wei Jiang, Yongqi Zhai, Chunhui Yang, Ronggang Wang:
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding. - Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg:
Towards the new XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. - Yuchen Zeng, Wonjun Kang, Yicong Chen, Hyung Il Koo, Kangwook Lee:
Can MLLMs Perform Text-to-Image In-Context Learning? - Dildar Ali, Suman Banerjee, Yamuna Prasad:
Minimizing Regret in Billboard Advertisement under Zonal Influence Constraint. - Wanghan Xu, Kang Chen, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai:
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast. - Man-Jie Yuan, Zheng Zou, Wei Gao:
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference. - Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius:
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. - Kacper Dudzic, Filip Gralinski, Krzysztof Jassem, Marek Kubis, Piotr Wierzchon:
Two Approaches to Diachronic Normalization of Polish Texts. - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A Unified Framework for Gradient-based Clustering of Distributed Data. - MohammadHossein Koosheshi, Hamed Hosseini, Mehdi Tale Masouleh, Ahmad Kalhor, Mohammad Reza Hairi Yazdi:
AGILE: Approach-based Grasp Inference Learned from Element Decomposition. - Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao:
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection. - Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela:
KTO: Model Alignment as Prospect Theoretic Optimization. - José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks. - Felix Tempel, Inga Strümke, Espen Alexander Fürst Ihlen:
AutoGCN - Towards Generic Human Activity Recognition with Neural Architecture Search. - Simon Weissmann, Jakob Zech:
On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation. - Antonio Baeza, Dionisio F. Yáñez:
A note on some bounds between cubic spline interpolants depending on the boundary conditions: Application to a monotonicity property. - Ahmed A. A. Gad-ElRab, Almohammady S. Alsharkawy, Mahmoud E. Embabi, Ahmed Sobhi, Farouk A. Emara:
Adaptive multi-criteria-based load balancing technique for resource allocation in fog-cloud environments. - Yujie Lin, Dong Li, Chen Zhao, Xintao Wu, Qin Tian, Minglai Shao:
Supervised Algorithmic Fairness in Distribution Shifts: A Survey. - Haopeng Li, Haonan Tong, Sihua Wang, Nuocheng Yang, Zhaohui Yang, Changchuan Yin:
Video Semantic Communication with Major Object Extraction and Contextual Video Encoding. - Shuqing Luo, Wei Gao:
A general framework for rotation invariant point cloud analysis. - Chintan Trivedi, Nemanja Rasajski, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Simulator-Free Visual Domain Randomization via Video Games. - Artun Boz, Wouter Zorgdrager, Zoe Kotti, Jesse Harte, Panos Louridas, Dietmar Jannach, Marios Fragkoulis:
Improving Sequential Recommendations with LLMs. - Chanho Park, Namyoon Lee:
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding. - Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen:
Fundamental Properties of Causal Entropy and Information Gain. - Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu:
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. - Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein:
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification. - Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. - Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou:
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models. - Jianshu Zhang, Yankai Fu, Ziheng Peng, Dongyu Yao, Kun He:
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay. - Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. - Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning. - Ece Takmaz, Sandro Pezzelle, Raquel Fernández:
Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. - Matthew L. Daggitt, Wen Kokke, Robert Atkey:
Efficient compilation of expressive problem space specifications to neural network solvers. - Laurent Mertens, Elahe Yargholi, Hans P. Op de Beeck, Jan Van den Stock, Joost Vennekens:
FindingEmo: An Image Dataset for Emotion Recognition in the Wild. - Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). - Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger, Roman Klinger:
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification. - Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt:
To the Max: Reinventing Reward in Reinforcement Learning. - Zeta Avarikioti, Pawel Kedzior, Tomasz Lizurej, Tomasz Michalak:
Bribe & Fork: Cheap Bribing Attacks via Forking Threat. - Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari:
Continual Learning for Large Language Models: A Survey. - Wen Fan, Haoran Li, Dandan Zhang:
MagicTac: A Novel High-Resolution 3D Multi-layer Grid-Based Tactile Sensor. - Dongqi Fan, Ting Yue, Xin Zhao, Liang Chang:
LIR: A Lightweight Baseline for Image Restoration. - Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu:
Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors. - Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes:
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. - Prashansa Panda, Shalabh Bhatnagar:
Critic-Actor for Average Reward MDPs with Function Approximation: A Finite-Time Analysis. - Daniele D'Angeli, Emanuele Rodaro, Jan Philipp Wächter:
The Freeness Problem for Automaton Semigroups. - Masahiro Nomura, Masashi Shibata:
cmaes : A Simple yet Practical Python Library for CMA-ES. - Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization.