Publications

* denotes equal contribution, † denotes corresponding author.

2026

Figure from PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning

NeurIPS 2026

PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning

Anh Tong, Kyowoon Lee, Jaesik Choi

Coming Soon

Figure from Refining Compositional Diffusion for Reliable Long-Horizon Planning

NeurIPS 2026

Refining Compositional Diffusion for Reliable Long-Horizon Planning

Kyowoon Lee, Yunhao Luo, Anh Tong, Jaesik Choi

Paper Code Project

Figure from Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution

ECCV 2026

Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution

Soyeon Kim, Kyowoon Lee^†, Jaesik Choi^†

Figure from Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution

KDD 2026

Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution

Soyeon Kim, Seongwoo Lim, Kyowoon Lee^†, Jaesik Choi^†

Figure from Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution

ICML 2026

Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution

Soyeon Kim, Seongwoo Lim, Kyowoon Lee^†, Jaesik Choi^†

2025

Figure from State-Covering Trajectory Stitching for Diffusion Planners

NeurIPS 2025

State-Covering Trajectory Stitching for Diffusion Planners

Kyowoon Lee, Jaesik Choi

Figure from Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models

Interspeech 2025

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models

Kyowoon Lee, Artyom Stitsyuk, Gunu Jho, Inchul Hwang, Jaesik Choi

Figure from Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

ICML 2025

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Kyowoon Lee, Jaesik Choi

2023

Figure from Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

NeurIPS 2023

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

Kyowoon Lee^*, Seongun Kim^*, Jaesik Choi

Figure from Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills

ICML 2023

Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills

Seongun Kim^*, Kyowoon Lee^*, Jaesik Choi

Paper Code Project

ICRA 2023

Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning

Kyowoon Lee^*, Seongun Kim^*, Jaesik Choi

Paper Code Project

2019

Figure from Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes

IJCAI 2019

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes

Jiyeon Han^*, Kyowoon Lee^*, Anh Tong, Jaesik Choi

2018

ICML 2018

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

Paper Code Project