Preprints & Publications

2025

  1. 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. 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
    arXiv preprint arXiv:2502.00234, 2025
    arXiv
  3. 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
    HTML Poster

2024

  1. 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. [Bachelor’s Thesis] Theoretical Analysis of the Approximation Properties of Score-Based Generative Models
    Wei Guo
    2023
    PDF