Seonghyun Park

Hello! I'm a PhD student at Kim Jaechul Graduate School of AI at KAIST, advised by Sungsoo Ahn. I'm currently interested in the following!!

Most recent publications on Google Scholar.
^† indicates equal contribution, ^‡ indicates co corresponding author.

Transition path sampling with improved off-policy training of diffusion path samplers

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

ICLR 2025
ICML 2024, Workshop SPIGM

Paper Page

Non-backtracking Graph Neural Networks

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

TMLR 2024
NeurIPS 2023, Workshop on New Frontiers in Graph Learning (GLFrontiers) (Oral)

Paper

Diffusion Probabilistic Models for Structured Node Classification

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

NeurIPS 2023
ICML 2023, Workshop on Structured Probabilistic Inference & Generative Modeling

Paper

Transition path sampling with improved off-policy training of diffusion path samplers

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

ICLR 2025
ICML 2024, Workshop SPIGM

Paper Page

Non-backtracking Graph Neural Networks

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

TMLR 2024
NeurIPS 2023, Workshop on New Frontiers in Graph Learning (GLFrontiers) (Oral)

Paper

Diffusion Probabilistic Models for Structured Node Classification

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

NeurIPS 2023
ICML 2023, Workshop on Structured Probabilistic Inference & Generative Modeling

Paper

Full Resume in PDF.

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