- Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes, by Yotam Amitai, Yael Septon, Ofra Amir
- Generating Global Policy Summaries for Reinforcement Learning Agents Using Large Language Models, by Sahar Admoni, Ofra Amir
- Emergent Dominance Hierarchies in Reinforcement Learning Agents, by Ram Rachum, Yonatan Nakar, Bill Tomlinson, Nitay Alon, Reuth Mirsky
- Who Made That Decision and Why? Users’ Perceptions of Human Versus AI Decision-Making and the Power of Explainable-AI, by Avital Shulner-Tal, Tsvi Kuflik, Doron Kliger, Azzurra Mancini
- The Complexity of Manipulation of k-Coalitional Games on Graphs, by Hodaya Barr, Yohai Trabelsi, Sarit Kraus, Liam Roditty, Noam Hazon
- Protein language models expose viral mimicry and immune escape, by Dan Ofer, Michal Linial
- The Perception-Robustness Tradeoff in Deterministic Image Restoration, by Guy Ohayon, Tomer Michaeli, Michael Elad
- State of What Art? A Call for Multi-Prompt LLM Evaluation, by Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky
- Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option, by Yohai Trabelsi, Pan Xu, Sarit Kraus
- Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption, by Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
- Interactive and Iterative Peer Assessment, by Lihi Dery
- Automated Segmentation and Deep Learning Classification of Ductopenic Parotid Salivary Glands in Sialo Cone-Beam CT Images, by Elia Halle et al.
- Machine Learning for Predicting Traffic and Determining Road Capacity, by Alex Lewis, Rina Azoulay, Esther David
- Principal-Agent Reward Shaping in MDPs, by Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler
- On Verifying and Generating Robust Plans for Planning Tasks with Exogenous Events, by Lukas Chrpa, Erez Karpas
- On Parallel External-Memory Bidirectional Search, by Lior Siag, Shahaf Shperberg, Ariel Felner, Nathan R. Sturtevant
- Structure and Reduction of MCTS for Explainable-AI, by Ronit Bustin, Claudia V. Goldman
- CGA: Corridor Generating Algorithm for Multi-Agent Environments, by Arseniy Pertzovsky, Roni Stern, Roie Zivan
- Online Learning of Partitions in Additively Separable Hedonic Games, by Saar Cohen, Noa Agmon
- Online Friends Partitioning under Uncertainty, by Saar Cohen, Noa Agmon
- Enhancing Numeric-SAM for Learning with Few Observations, by Argaman Mordoch, Shahaf S. Shperberg, Roni Stern, Brendan Juba
- Solving Minecraft Tasks via Model Learning, by Yarin Benyamin, Argaman Mordoch, Shahaf Shperberg, Roni Stern
- Machine learning-based bee recognition and tracking for advancing insect behavior research, by Erez Rozenbaum, Tammar Shrot, Hadassa Daltrophe, Yehuda Kunya, Sharoni Shafr
- Minimizing State Exploration While Searching Graphs with Unknown Obstacles, by Daniel Koyfman, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner
- Theoretical Study on Multi-objective Heuristic Search, by Shawn Skyler et al.
- Confident Feature Ranking, by Bitya Neuhof, Yuval Benjamini