| 2025 | Preference Learning for AI Alignment: a Causal Perspective. | Kasia Kobalczyk, Mihaela van der Schaar |
| 2025 | BAnG: Bidirectional Anchored Generation for Conditional RNA Design. | Roman Klypa, Alberto Bietti, Sergei Grudinin |
| 2025 | Feature Importance Metrics in the Presence of Missing Data. | Henrik von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr |
| 2025 | Fleet of Agents: Coordinated Problem Solving with Large Language Models. | Lars Henning Klein, Nearchos Potamitis, Roland C. Aydin, Robert West, Caglar Gulcehre, Akhil Arora |
| 2025 | Policy Design for Two-sided Platforms with Participation Dynamics. | Haruka Kiyohara, Fan Yao, Sarah Dean |
| 2025 | Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents. | Shayan Kiyani, George J. Pappas, Aaron Roth, Hamed Hassani |
| 2025 | Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency. | Michael Kirchhof, James Thornton, Louis Bthune, Pierre Ablin, Eugne Ndiaye, Marco Cuturi |
| 2025 | Improving Out-of-Distribution Detection with Markov Logic Networks. | Konstantin Kirchheim, Frank Ortmeier |
| 2025 | Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization. | Kaheon Kim, Rentian Yao, Changbo Zhu, Xiaohui Chen |
| 2025 | Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization. | Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell |
| 2025 | Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation. | Juno Kim, Denny Wu, Jason D. Lee, Taiji Suzuki |
| 2025 | Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions. | Jaeyeon Kim, Kulin Shah, Vasilis Kontonis, Sham M. Kakade, Sitan Chen |
| 2025 | Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data. | Jeonghye Kim, Yongjae Shin, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngchul Sung, Kanghoon Lee, Woohyung Lim |
| 2025 | Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks. | Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han |
| 2025 | Linear Bandits with Partially Observable Features. | Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh |
| 2025 | Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries. | Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos |
| 2025 | Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning. | Sungjune Kim, Gyeongrok Oh, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee, Sujin Jang, Sangpil Kim |
| 2025 | Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. | Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta |
| 2025 | Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection. | HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon |
| 2025 | Efficient Generative Modeling with Residual Vector Quantization-Based Tokens. | Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho |
| 2025 | Position: You Can't Manufacture a NeRF. | Ma Kimmel, Mueed Ur Rehman, Yonatan Bisk, Gary K. Fedder |
| 2025 | NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations. | Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, JunHo Seo, Byung-Jun Lee |
| 2025 | Fair Clustering via Alignment. | Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim |
| 2025 | Symmetry-Aware GFlowNets. | Hohyun Kim, Seunggeun Lee, Min-hwan Oh |
| 2025 | Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards. | Jaeho Kim, Yunseok Lee, Seulki Lee |