Variational Interaction Information Maximization for Cross-domain Disentanglement. - HyeongJoo Hwang; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim (NeurIPS, 2020)

Multi-View Representation Learning via Total Correlation Objective. - HyeongJoo Hwang; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim (NeurIPS, 2021)

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations. - Geon-Hyeong Kim; Seokin Seo; Jongmin Lee 004; Wonseok Jeon; HyeongJoo Hwang; Hongseok Yang; Kee-Eung Kim (ICLR, 2022)

Information-Theoretic State Space Model for Multi-View Reinforcement Learning. - HyeongJoo Hwang; Seokin Seo; Youngsoo Jang; Sungyoon Kim; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim (ICML, 2023)

Regularized Behavior Cloning for Blocking the Leakage of Past Action Information. - Seokin Seo; HyeongJoo Hwang; Hongseok Yang; Kee-Eung Kim (NeurIPS, 2023)

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction. - Seokin Seo; Byung-Jun Lee 001; Jongmin Lee 004; HyeongJoo Hwang; Hongseok Yang; Kee-Eung Kim (NeurIPS, 2024)