Publications
(*: equal contribution, †: equal advising)
- Refining Compositional Diffusion for Reliable Long-Horizon Planning
- Kyowoon Lee, Yunhao Luo, Anh Tong, Jaesik Choi
- Preprint
- [Paper] [Code] [Project]
- Robust Path Attribution in Piecewise Linear Neural Networks via Dummy-Constrained Optimization
- Soyeon Kim*, Seongwoo Lim*, Kyowoon Lee, Jaesik Choi
- Preprint
- Coming Soon
- Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution
- Soyeon Kim, Kyowoon Lee†, Jaesik Choiâ€
- Preprint
- Coming Soon
- Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
- Soyeon Kim, Seongwoo Lim, Kyowoon Lee†, Jaesik Choiâ€
- KDD 2026
- [Paper] [Code]
- Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
- Soyeon Kim, Seongwoo Lim, Kyowoon Lee†, Jaesik Choiâ€
- ICML 2026
- [Paper] [Code]
- State-Covering Trajectory Stitching for Diffusion Planners
- Kyowoon Lee, Jaesik Choi
- NeurIPS 2025
- [Paper] [Code]
- Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models
- Kyowoon Lee, Artyom Stitsyuk, Gunu Jho, Inchul Hwang, Jaesik Choi
- Interspeech 2025
- [Paper]
- Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
- Kyowoon Lee, Jaesik Choi
- ICML 2025
- [Paper] [Code]
- Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
- Kyowoon Lee*, Seongun Kim*, Jaesik Choi
- NeurIPS 2023
- [Paper] [Code] [Project]
- Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
- Seongun Kim*, Kyowoon Lee*, Jaesik Choi
- ICML 2023
- [Paper] [Code] [Project]
- Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
- Kyowoon Lee*, Seongun Kim*, Jaesik Choi
- ICRA 2023
- [Paper] [Code] [Project]
- Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
- Jiyeon Han*, Kyowoon Lee*, Anh Tong, Jaesik Choi
- IJCAI 2019
- [Paper] [Project]
- Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
- Kyowoon Lee*, Sol-A Kim*, Jaesik Choi, Seong-Whan Lee
- ICML 2018
- [Paper] [Code] [Project]