Preprints & Publications

2025

  1. jeais.png
    Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
    Wei GuoMolei Tao, and Yongxin Chen
    arXiv preprint arXiv:2502.04575, 2025
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    Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
    Wei GuoMolei Tao, and Yongxin Chen
    In The Thirteenth International Conference on Learning Representations, 2025
  3. pdns.png
    Proximal Diffusion Neural Sampler
    arXiv preprint arXiv:2510.03824, 2025
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    Fast solvers for discrete diffusion models: Theory and applications of high-order algorithms
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
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    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
  6. mdns.png
    MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025

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

2023

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