publications

(*) denotes equal contribution, (†) denotes equal advising.

2026

  1. LongTake: Learning to Sustain Dynamics in Long-Horizon Video Generation
    Byoungwoo Park, Jaemoo Choi, Juho Lee†, and Yongxin Chen†
    Preprint
    PDF Code Page
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    Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting
    Joonhyeong Park, Giung Nam, Hyungi Lee, Kyunghyun Cho, Byoungwoo Park†, and Juho Lee†
    Preprint
    PDF
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    Diffusion Policy Improvement with Proposal-Conditioned Refinement Flows
    Junhyun Ha, Juho Lee, and Byoungwoo Park
    Preprint
    PDF
  4. Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
    Byoungwoo Park, Utkarsh A. Mishra, Jaemoo Choi, Juho Lee, and Yongxin Chen
    Advances in Neural Information Processing Systems (NeurIPS), 2026
    PDF Code Page
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    Function-Space Diffusion for Motion Planning
    Zinuo Chang, Yipu Chen, Byoungwoo Park, Hongzhe Yu, and Yongxin Chen
    Preprint
    PDF
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    Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
    Byoungwoo Park, Juho Lee, and Guan-Horng Liu
    International Conference on Machine Learning (ICML), 2026
    PDF Code
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    Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
    Joonhyeong Park*, Byoungwoo Park*, Chang-Bae Bang, Jungwon Choi, Hyungjin Chung, Byung-Hoon Kim†, and Juho Lee†
    International Conference on Learning Representations (ICLR), 2026
    PDF
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    Multi-Marginal Schrödinger Bridge Matching
    Byoungwoo Park, and Juho Lee
    Transactions on Machine Learning Research (TMLR), 2026
    PDF Code

2025

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    Improving Constrained Language Generation via Self-Distilled Twisted Sequential Monte Carlo
    Sooyeon Kim, Giung Nam, Byoungwoo Park, and Juho Lee
    NeurIPS 2025 Workshop on Frontiers in Probabilistic Inference
    PDF
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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 · Top 1.8%
    PDF Code

2024

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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
    PDF Code

2023

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    Nerual Stochastic Differential Games for Time-Series Analysis
    Sungwoo Park*, Byoungwoo Park*, Moontae Lee, and Changhee Lee
    International Conference on Machine Learning (ICML), 2023
    PDF Code Page