Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Kyungjae Lee 001; Sungyub Kim; Sungbin Lim; Sungjoon Choi; Songhwai Oh (CoRR, 2019)

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. - Sungyub Kim; Yongsu Baek; Sung Ju Hwang; Eunho Yang (CoRR, 2019)

Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. - Kyungjae Lee 001; Sungyub Kim; Sungbin Lim; Sungjoon Choi; Mineui Hong; Jae In Kim; Yong-Lae Park; Songhwai Oh (Robotics: Science and Systems, 2020)

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. - Sungyub Kim; Sihwan Park 001; Kyung-Su Kim 002; Eunho Yang (ICLR, 2023)

RGE: A Repulsive Graph Rectification for Node Classification via Influence. - Jaeyun Song; Sungyub Kim; Eunho Yang (ICML, 2023)

GEX: A flexible method for approximating influence via Geometric Ensemble. - Sungyub Kim; Kyungsu Kim; Eunho Yang (NeurIPS, 2023)

TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. - Sanghyun Jo; Soohyun Ryu; Sungyub Kim; Eunho Yang; Kyungsu Kim (ECCV (81), 2024)

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Yeonsung Jung; Jaeyun Song; June Yong Yang; Jin-Hwa Kim; Sungyub Kim; Eunho Yang (NeurIPS, 2024)

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. - Doohyuk Jang; Sihwan Park 001; June Yong Yang; Yeonsung Jung; Jihun Yun; Souvik Kundu 009; Sungyub Kim; Eunho Yang (ICLR, 2025)

Unraveling Zeroth-Order Optimization through the Lens of Low-Dimensional Structured Perturbations. - Sihwan Park 001; Jihun Yun; Sungyub Kim; Souvik Kundu 009; Eunho Yang (CoRR, 2025)

LANTERN++: Enhanced Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive Models. - Sihwan Park 001; Doohyuk Jang; Sungyub Kim; Souvik Kundu 009; Eunho Yang (CoRR, 2025)