Selected Publications

2025

  • Safety verification of nonlinear stochastic systems via probabilistic tube
    Z. Liu, S. Jafarpour, and Y. Chen
    IEEE Transactions on Automatic Control

  • A new proof of sub-Gaussian norm concentration inequality
    Z. Liu, S. Power, and Y. Chen

  • MDNS: Masked diffusion neural sampler via stochastic optimal control
    Y. Zhu, W. Guo, J. Choi, G. Liu, Y. Chen, and M. Tao

2024

  • Probabilistic reachability analysis of stochastic control systems
    S. Jafarpour, Z. Liu, and Y. Chen
    IEEE Transactions on Automatic Control

  • Provable benefit of annealed Langevin Monte Carlo for non-log-concave sampling
    W. Guo, M. Tao, and Y. Chen
    ICLR

2023

  • Improved order analysis and design of exponential integrator for diffusion models sampling
    Q. Zhang, J. Song, and Y. Chen

  • Improved dimension dependence of a proximal algorithm for sampling
    J. Fan, B. Yuan, and Y. Chen
    COLT

  • Generative skill chaining: Long-horizon skill planning with diffusion models
    U. Mishra, S. Xue, Y. Chen, and D. Xu
    CoRL

2022

  • Fast Sampling of Diffusion Models with Exponential Integrator
    Q. Zhang, and Y. Chen
    ICLR

  • gDDIM: Generalized Denoising Diffusion Implicit Models
    Q. Zhang, M. Tao, and Y. Chen
    ICLR (Spotlight)

  • Improved analysis for a proximal algorithm for sampling
    Y. Chen, S. Chewi, A. Salim, and A. Wibisono
    COLT

2021

  • Path Integral Sampler: a stochastic control approach for sampling
    Q. Zhang, and Y. Chen
    ICLR

  • Diffusion Normalizing Flow
    Q. Zhang, and Y. Chen
    NeurIPS

  • Variational Wasserstein gradient flow
    J. Fan, Q. Zhang, A. Taghvaei, and Y. Chen
    ICML

2020

  • Scalable computations of Wasserstein barycenter via input convex neural networks
    J. Fan, A. Taghvaei, and Y. Chen
    ICML (Long talk)

2019

2018

2017

2016

2015

2014