| 2025 | Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion. | Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim, Kyogu Lee |
| 2025 | Self-supervised Adversarial Purification for Graph Neural Networks. | Woohyun Lee, Hogun Park |
| 2025 | Channel Normalization for Time Series Channel Identification. | Seunghan Lee, Taeyoung Park, Kibok Lee |
| 2025 | Combinatorial Reinforcement Learning with Preference Feedback. | Joongkyu Lee, Min-hwan Oh |
| 2025 | Improved Online Confidence Bounds for Multinomial Logistic Bandits. | Joongkyu Lee, Min-hwan Oh |
| 2025 | ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification. | Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack |
| 2025 | Chip Placement with Diffusion Models. | Vint Lee, Minh Nguyen, Leena Elzeiny, Chun Deng, Pieter Abbeel, John Wawrzynek |
| 2025 | All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance. | Jasper C. H. Lee, Walter McKelvie, Maoyuan Song, Paul Valiant |
| 2025 | Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points. | Justin Lee, Behnaz Moradijamei, Heman Shakeri |
| 2025 | Hyperspherical Normalization for Scalable Deep Reinforcement Learning. | Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo |
| 2025 | ELITE: Enhanced Language-Image Toxicity Evaluation for Safety. | Wonjun Lee, Doehyeon Lee, Eugene Choi, Sangyoon Yu, Ashkan Yousefpour, Haon Park, Bumsub Ham, Suhyun Kim |
| 2025 | SAFE: Finding Sparse and Flat Minima to Improve Pruning. | Dongyeop Lee, Kwanhee Lee, Jinseok Chung, Namhoon Lee |
| 2025 | Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks. | Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee |
| 2025 | Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices. | Aro Lee, Ji Oon Lee |
| 2025 | On the Similarities of Embeddings in Contrastive Learning. | Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn |
| 2025 | GenMol: A Drug Discovery Generalist with Discrete Diffusion. | Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat |
| 2025 | FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials. | Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee |
| 2025 | Aggregation Buffer: Revisiting DropEdge with a New Parameter Block. | Dooho Lee, Myeong Kong, Sagad Hamid, Cheonwoo Lee, Jaemin Yoo |
| 2025 | ETTA: Elucidating the Design Space of Text-to-Audio Models. | Sang-gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro |
| 2025 | Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning. | Dongsu Lee, Minhae Kwon |
| 2025 | Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization. | Seungbeom Lee, Munsun Jo, Jungseul Ok, Dongwoo Kim |
| 2025 | How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects. | Wonkwang Lee, Jongwon Jeong, Taehong Moon, Hyeon-Jong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee |
| 2025 | Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges. | Nayoung Lee, Ziyang Cai, Avi Schwarzschild, Kangwook Lee, Dimitris Papailiopoulos |
| 2025 | Test-Time Adaptation with Binary Feedback. | Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee |
| 2025 | Unpaired Point Cloud Completion via Unbalanced Optimal Transport. | Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang |