Yuchen Zhu

Machine Learning PhD @ Georgia Tech 🚀

prof_pic.jpg

140 Skiles

686 Cherry St NW

Atlanta, GA 30332

Hi, I am Yuchen Zhu, a first year Machine Learning PhD at Georgia Tech.

I work on diffusion models, mean field games, sampling and optimal transport. I am primarily interested in the intersection of dynamics, deep learning and statistics, with application in generative modeling, game theory, scientific machine learning and reinforcement learning.

At Georgia Tech, I am fortunate to be advised by Molei Tao and working with a group of incredible researchers. Prior to that, I graduated with MA in Statistics from Yale University and BS in Honors Mathematics with highest honor from NYU Shanghai. During these times, I had the privilege to work with Zhuoran Yang and Mathieu Laurière on reinforcement learning and mean field games.

Contact: yzhu738 [at] gatech [dot] edu

Updates
[04/2024] New work A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations is online!
[04/2024] New work Quantum state generation with Structure Preserving Diffusion Model is online!
[01/2024] I switched theme of my personal website
Talks
[04/2024] Southeast ACM Student Workshop 2024, student presentation

selected publications

  1. arXiv
    A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations
    Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, and Xiaohong Chen
    arXiv preprint arXiv:2404.12312, 2024
    HTML
  2. 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
    HTML
  3. 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
    (Author in alphabetical order)
    HTML