| 2024 | Autonomous Agents for Interrogation. | Merav Chkroun, Amos Azaria |
| 2024 | Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models. | Lingtao Chen, Kazi Fahim Ahmad Nasif, Bobin Deng, Shuteng Niu, Chloe Yixin Xie |
| 2024 | Problematic News Topic Spreader Prediction via Uncertainty-based Contrastive Learning for Marked Temporal Point Processes. | Haoran Chen, Dongmei Han |
| 2024 | Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. | Qisen Cheng, Shuhui Qu, Janghwan Lee |
| 2024 | Worldafford: Affordance Grounding Based on Natural Language Instructions. | Changmao Chen, Yuren Cong, Zhen Kan |
| 2024 | Extending Hierarchical Partial-Order Causal-Link Planning to Temporal Problem Solving. | Nicolas Cavrel, Humbert Fiorino, Damien Pellier |
| 2024 | Accelerating Prototype Selection with Spatial Abstraction. | Joel Luis Carbonera |
| 2024 | Power of Suggestion: Strategic Feature Manipulation in Transformer-Based Models. | Issam Benamara, Emmanuel Viennet |
| 2024 | Rule-Based Constraint Elicitation For Active Constraint-Incremental Clustering. | Aymeric Beauchamp, Thi-Bich-Hanh Dao, Samir Loudni, Christel Vrain |
| 2024 | Learning Reliable PDDL Models for Classical Planning from Visual Data. | Aymeric Barbin, Federico Cerutti, Alfonso Emilio Gerevini |
| 2024 | On Weighted Maximum Model Counting: Complexity and Fragments. | Max Bannach, Markus Hecher |
| 2024 | Physics-Informed Machine Learning for Better Understanding Laser-Matter Interaction. | Fayad Ali Banna, Jean-Philippe Colombier, Rmi Emonet, Marc Sebban |
| 2024 | 3D-PSH: Lightweight 3D LiDAR Object Detection Using Adaptive Clustering and 3D Point Spatial Histograms. | Junaid Baber, Olivier Aycard |
| 2024 | An Efficient Approach for Cooperative Multi-Agent Learning Problems. | ngel Aso-Mollar, Eva Onaindia |
| 2024 | Identifying Logical Patterns in Text for Reasoning. | Pauline Armary, Cheikh Brahim El Vaigh, Antoine Spicher, Ouassila Labbani-Narsis, Christophe Nicolle |
| 2024 | Evaluating the Potential of Reinforcement Learning for Stochastic Machine Scheduling Problems. | Mohammed Majthoub Almoghrabi, Guillaume Sagnol |
| 2024 | Unfolding Particle Detector Acceptance in High Energy Physics with Generative AI. | Tareq Alghamdi, Tommaso Vittorini, Marco Spreafico, Marco Battaglieri, Nobuo Sato, Yaohang Li |
| 2024 | Recognizing Binary Code Semantics Towards Achieving Software Segmentation. | Michail S. Alexiou, Zeezoo Ryu, Grace Abawe, J. Sukarno Mertoguno |
| 2024 | Intelligent Scheduling of Floating Nuclear Reactor Operation for Implementation of Distributed Smart Energy Systems in Remote Coastal Locations. | Miltiadis Alamaniotis |
| 2024 | Fuzzy-Empowered Decision Making Integrated with DDDAS-Matrix Profile Framework for Anomaly Detection in Radiation Measurements. | Miltiadis Alamaniotis |
| 2024 | KB2Bench: Toward a Benchmark Framework for Large Language Models on Medical Knowledge. | Douglas Adjei-Frempah, Lisa Chen, Paea LePendu |
| 2024 | SITH: Semantic Interpreter for Transformer Hierarchy. | Cheng Zhang, Jinxin Lv, Jingxu Cao, Jiachuan Sheng, Dawei Song, Tiancheng Zhang |
| 2024 | INRNet: Neighborhood Re-ranking Based Method for Pedestrian Text-Image Retrieval. | Kehao Wang, Yuhui Wang, Qifeng Li |
| 2023 | What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. | Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li |
| 2023 | Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. | Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He |