Preprints & Publications

2025

  1. jeais.png
    Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
    Wei Guo, Molei Tao, and Yongxin Chen
    arXiv preprint arXiv:2502.04575, 2025
    arXiv
  2. almc.png
    Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
    Wei Guo, Molei Tao, and Yongxin Chen
    In The Thirteenth International Conference on Learning Representations, 2025
    arXiv HTML Poster
  3. pdns.png
    Proximal Diffusion Neural Sampler
    Wei Guo*, Jaemoo Choi*, Yuchen Zhu, Molei Tao, and Yongxin Chen
    arXiv preprint arXiv:2510.03824, 2025
    arXiv
  4. high-order.png
    Fast solvers for discrete diffusion models: Theory and applications of high-order algorithms
    Yinuo Ren*, Haoxuan Chen*, Yuchen Zhu*, Wei Guo*, Yongxin Chen, Grant M Rotskoff, Molei Tao, and Lexing Ying
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    arXiv HTML
  5. dmpo.png
    Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
    Yuchen Zhu*, Wei Guo*, Jaemoo Choi, Petr Molodyk, Bo Yuan, Molei Tao, and Yongxin Chen
    arXiv preprint arXiv:2510.08233, 2025
    arXiv Code
  6. mdns.png
    MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
    Yuchen Zhu*, Wei Guo*, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, and Molei Tao
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
    arXiv HTML Code

2024

  1. Preprint
    Plug-and-Play Controllable Generation for Discrete Masked Models
    Wei Guo*, Yuchen Zhu*, Molei Tao, and Yongxin Chen
    arXiv preprint arXiv:2410.02143, 2024
    arXiv

2023

  1. Undergrad Thesis
    Theoretical Analysis of the Approximation Properties of Score-Based Generative Models
    Wei Guo
    2023
    HTML PDF