Kiyoung Seong

M.Sc.student, KAIST

kyseong98@kaist.ac.kr

Bio

My research goal is to develop AI tools for drug discovery and material design. To be specific, I am focusing on accelerating molecular dynamics using generative models [ICLR'25] and machine learning collective variables. I'm a graduate student at KAIST AI, advised by Sungsoo Ahn.

Publications

Most recent publications on Google Scholar.

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers

Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn

ICLR'25: International Conference on Learning Representations. 2025.

Paper Code

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers

Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn

ICLR'25: International Conference on Learning Representations. 2025.

Paper Code

Vitæ

Kiyoung Seong
kyseong98@kaist.ac.kr