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)

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)

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)