SAIL (UNIST) team Participation in KBP 2016 Cold-Start Slot filling. - Seongwoo Lim; Jiyeon Han; Kyowoon Lee; Jaesik Choi (TAC, 2016)

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)

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. - Jiyeon Han; Kyowoon Lee; Anh Tong; Jaesik Choi (IJCAI, 2019)

Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills. - Seongun Kim; Kyowoon Lee; Jaesik Choi (ICML, 2023)

Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning. - Kyowoon Lee; Seongun Kim; Jaesik Choi (ICRA, 2023)

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans. - Kyowoon Lee; Seongun Kim; Jaesik Choi (NeurIPS, 2023)

Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models. - Kyowoon Lee; Artyom Stitsyuk; Gunu Jho; Inchul Hwang; Jaesik Choi (CoRR, 2025)

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning. - Kyowoon Lee; Jaesik Choi (CoRR, 2025)

State-Covering Trajectory Stitching for Diffusion Planners. - Kyowoon Lee; Jaesik Choi (CoRR, 2025)