Publications

* denotes equal contribution, denotes corresponding author.

2026

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 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

Figure from Refining Compositional Diffusion for Reliable Long-Horizon Planning
Preprint 2026

Refining Compositional Diffusion for Reliable Long-Horizon Planning

Kyowoon Lee, Yunhao Luo, Anh Tong, 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

2025

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

Figure from State-Covering Trajectory Stitching for Diffusion Planners
NeurIPS 2025

State-Covering Trajectory Stitching for Diffusion Planners

Kyowoon Lee, Jaesik Choi

2023

Figure from Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
ICRA 2023

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

Kyowoon Lee*, Seongun Kim*, Jaesik Choi

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

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

Figure from Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
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