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Byoungwoo Park

Visiting Scholar @ Georgia Tech | Master student @ KAIST

I am an incoming PhD student at KAIST advised by Juho Lee. I am also fortunate to be a visiting scholar at Georgia Tech, working closely with Yongxin Chen, and being mentored by Guan-Horng Liu.

My primary research interests are in GenAI and AI4Science, focusing on developing theoretically sound yet practical methods inspired by dynamic optimal transport, stochastic optimal control. My research covers unpaired image translation, time series modeling, fMRI representation learning, single-cell RNA sequencing, and transition path sampling.

Contact: bw.park [at] kaist [dot] ac [dot] kr
Follow: Google Scholar | LinkedIn | bw-park | 𝕏 @bw__park

news

Sep 22, 2025 Two papers got accepted to FPI@NeurIPS2025 and received the AITHYRA Travel Grant.
Feb 11, 2025 A paper got accepted to ICLR 2025 and selected to be oral presentation.
Oct 12, 2024 A paper got accepted to NeurIPS 2024 and received the NeurIPS 2024 Scholar Award.
Apr 25, 2023 A paper got accepted to ICML 2023.

selected publications

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    Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
    Byoungwoo Park, Juho Lee, and Guan-Horng Liu
    Preprint

    NeurIPS 2025 Workshop on Frontiers in Probabilistic Inference
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    Multi-Marginal Schrödinger Bridge Matching
    Byoungwoo Park, and Juho Lee
    Preprint

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    Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
    Byoungwoo Park, Hyungi Lee, and Juho Lee
    International Conference on Learning Representations (ICLR), 2025
    Oral Presentation at ICLR [Top 1.8%]
    NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty
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    Stochastic Optimal Control for Diffusion Bridges in Function Spaces
    Byoungwoo Park, Jungwon Choi, Sungbin Lim, and Juho Lee
    Advances in Neural Information Processing Systems (NeurIPS), 2024