publications

2024

  1. arXiv
    Plug-and-Play Controllable Generation for Discrete Masked Models
    Wei Guo*, Yuchen Zhu*, Molei Tao, and Yongxin Chen
    arXiv preprint arXiv:2410.02143, 2024
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  2. arXiv
    Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
    Sichen Zhu*, Yuchen Zhu*, Molei Tao, and Peng Qiu
    In submission, 2024
  3. arXiv
    Deep Learning Algorithms for Mean Field Optimal Stopping in Finite Space and Discrete Time
    Yuchen Zhu*, Lorenzo Magnino*, and Mathieu Lauriere
    arXiv preprint arXiv:2410.08850, 2024
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  4. arXiv
    Competitive Reinforcement Learning when Minimax Theorem Does Not Hold: Multi-Objective Markov Games, Multi-Calibration, and Beyond
    Jingchu Gai, Yuchen Zhu, Chuanhao Li, Shuang Qiu, and Zhuoran Yang
    In submission, 2024
  5. arXiv
    Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
    Yuchen Zhu*, Tianrong Chen*, Lingkai Kong, Evangelos A Theodorou, and Molei Tao
    arXiv preprint arXiv:2405.16381, 2024
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  6. arXiv
    Quantum Generation with Structure Preserving Diffusion Model
    Yuchen Zhu, Tianrong Chen, Evangelos A Theodorou, Xie Chen, and Molei Tao
    arXiv preprint arXiv:2404.06336, 2024
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  7. arXiv
    A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
    Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, and Xiaohong Chen
    arXiv preprint arXiv:2404.12312, 2024
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2023

  1. arXiv
    Deep Learning for Mean Field Optimal Transport
    Sebastian Baudelet†, Brieuc Frenais†, Mathieu Lauriere†, Amal Machtalay†, and Yuchen Zhu†
    arXiv preprint arXiv:2302.14739, 2023
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