Convergence of flow-based generative models via proximal gradient
descent in Wasserstein space

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Convergence of flow-based generative models via proximal gradient descent in Wasserstein space

26 October 2023

Yao Xie

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Papers citing "Convergence of flow-based generative models via proximal gradient descent in Wasserstein space"

9 / 9 papers shown

Title
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Haoxuan Chen Yinuo Ren Martin Renqiang Min Lexing Ying Zachary Izzo DiffM MedIm 79 2 0 04 Jun 2025
Liouville PDE-based sliced-Wasserstein flow for fair regression Pilhwa Lee Jayshawn Cooper 76 0 0 22 May 2025
Embedding Empirical Distributions for Computing Optimal Transport Maps Mingchen Jiang Peng Xu Xichen Ye Xiaohui Chen Yun Yang Yifan Chen OT 126 0 0 24 Apr 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity Shuailong Zhu Xiaohui Chen 108 0 0 25 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 134 2 0 03 Jan 2025
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 163 5 0 03 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 271 12 0 01 Oct 2024
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 173 5 0 19 May 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 107 30 0 29 Dec 2022