| 2025 | Subtask-Aware Visual Reward Learning from Segmented Demonstrations. | Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee |
| 2025 | Simple ReFlow: Improved Techniques for Fast Flow Models. | Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton |
| 2025 | LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning. | Minyoung Kim, Timothy M. Hospedales |
| 2025 | Denoising Task Difficulty-based Curriculum for Training Diffusion Models. | Jin-Young Kim, Hyojun Go, Soonwoo Kwon, Hyun-Gyoon Kim |
| 2025 | Linear Representations of Political Perspective Emerge in Large Language Models. | Junsol Kim, James Evans, Aaron Schein |
| 2025 | Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. | Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun |
| 2025 | Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models. | Donghoon Kim, Minji Bae, Kyuhong Shim, Byonghyo Shim |
| 2025 | Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation. | Byungjai Kim, Chanho Ahn, Wissam J. Baddar, Kikyung Kim, Huijin Lee, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang |
| 2025 | Discrete Diffusion Schrdinger Bridge Matching for Graph Transformation. | Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon, Hyeongwoo Kim, Jeheon Woo, Woo Youn Kim |
| 2025 | SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning. | Minjun Kim, Jongjin Kim, U Kang |
| 2025 | Differentially Private Federated Learning with Time-Adaptive Privacy Spending. | Shahrzad Kiani, Nupur Kulkarni, Adam Dziedzic, Stark C. Draper, Franziska Boenisch |
| 2025 | Measuring And Improving Engagement of Text-to-Image Generation Models. | Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy |
| 2025 | Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains. | Razmik Arman Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara |
| 2025 | Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits. | Ashish J. Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos |
| 2025 | RESfM: Robust Deep Equivariant Structure from Motion. | Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri |
| 2025 | Hyperbolic Genome Embeddings. | Raiyan R. Khan, Philippe Chlenski, Itsik Pe'er |
| 2025 | Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs. | Sammy Khalife, Josu Tonelli-Cueto |
| 2025 | Systematic Relational Reasoning With Epistemic Graph Neural Networks. | Irtaza Khalid, Steven Schockaert |
| 2025 | Point-based Instance Completion with Scene Constraints. | Wesley Khademi, Fuxin Li |
| 2025 | Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale. | Alaa Khaddaj, Logan Engstrom, Aleksander Madry |
| 2025 | Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space. | Mohamed Amine Ketata, Nicholas Gao, Johanna Sommer, Tom Wollschlger, Stephan Gnnemann |
| 2025 | SAVA: Scalable Learning-Agnostic Data Valuation. | Samuel Kessler, Tam Le, Vu Nguyen |
| 2025 | A Truncated Newton Method for Optimal Transport. | Mete Kemertas, Amir-massoud Farahmand, Allan Douglas Jepson |
| 2025 | MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations. | Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu, Haoxin Wang, Yi Ding |
| 2025 | Distribution-Free Data Uncertainty for Neural Network Regression. | Domokos M. Kelen, dm Jung, Pter Kersch, Andrs A. Benczr |