Seonghyun Park

According to our database, Seonghyun Park authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Boltz is a Strong Baseline for Atom-level Representation Learning.

Hyosoon Jang, Hyunjin Seo, Yunhui Jang, Seonghyun Park, Sungsoo Ahn

CoRR, February, 2026

Riemannian MeanFlow.

Dongyeop Woo, Marta Skreta, Seonghyun Park, Kirill Neklyudov, Sungsoo Ahn

CoRR, February, 2026

2025

Learning Collective Variables from Time-lagged Generation.

Seonghyun Park, Kiyoung Seong, Soojung Yang, Rafael Gómez-Bombarelli, Sungsoo Ahn

CoRR, July, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Non-backtracking Graph Neural Networks.

Seonghyun Park, Narae Ryu, Gahee Kim, Dongyeop Woo, Se-Young Yun, Sungsoo Ahn

Trans. Mach. Learn. Res., 2024

Collective Variable Free Transition Path Sampling with Generative Flow Network.

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

CoRR, 2024

2023

Diffusion Probabilistic Models for Structured Node Classification.

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023