The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. - Mingyu Kim 002; Jihwan Oh; Yongsik Lee; Joonkee Kim; Seonghwan Kim 004; Song Chong; Se-Young Yun (CoRR, 2022)

GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising. - Hyeonsu Kim; Jeheon Woo; Seonghwan Kim 004; Seokhyun Moon; Jun Hyeong Kim; Woo Youn Kim (NeurIPS, 2023)

The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions. - Mingyu Kim 002; Jihwan Oh; Yongsik Lee; Joonkee Kim; Seonghwan Kim 004; Song Chong; Seyoung Yun (IEEE Access, 2023)

Predicting quantum chemical property with easy-to-obtain geometry via positional denoising. - Hyeonsu Kim; Jeheon Woo; Seonghwan Kim 004; Seokhyun Moon; Jun Hyeong Kim; Woo Youn Kim (CoRR, 2023)

A 2D Graph-Based Generative Approach For Exploring Transition States Using Diffusion Model. - Seonghwan Kim 004; Jeheon Woo; Woo Youn Kim (CoRR, 2023)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. - Hyungjoo Chae; Yeonghyeon Kim; Seungone Kim; Kai Tzu-iunn Ong; Beong-woo Kwak; Moohyeon Kim; Seonghwan Kim 004; Taeyoon Kwon; Jiwan Chung; Youngjae Yu; Jinyoung Yeo (CoRR, 2024)

Collective Variable Free Transition Path Sampling with Generative Flow Network. - Kiyoung Seong; Seonghyun Park 004; Seonghwan Kim 004; Woo Youn Kim; Sungsoo Ahn (CoRR, 2024)

Riemannian Denoising Score Matching for Molecular Structure Optimization with Accurate Energy. - Jeheon Woo; Seonghwan Kim 004; Jun Hyeong Kim; Woo Youn Kim (CoRR, 2024)

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation. - Jun Hyeong Kim; Seonghwan Kim 004; Seokhyun Moon; Hyeongwoo Kim; Jeheon Woo; Woo Youn Kim (ICLR, 2025)

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers. - Kiyoung Seong; Seonghyun Park 004; Seonghwan Kim 004; Woo Youn Kim; Sungsoo Ahn (ICLR, 2025)