A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
Models

A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models

5 August 2024

Yuxin Chen

ArXiv (abs)PDF HTML

Papers citing "A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models"

9 / 9 papers shown

Title
A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective Gen Li Changxiao Cai DiffM 29 0 0 27 May 2025
Sample Complexity of Diffusion Model Training Without Empirical Risk Minimizer Access Mudit Gaur Prashant Trivedi Sasidhar Kunapuli Amrit Singh Bedi Vaneet Aggarwal 35 0 0 23 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 110 0 0 02 May 2025
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models Gen Li Yuling Yan DiffM 117 23 0 03 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 132 2 0 03 Jan 2025
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 80 0 0 16 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 111 9 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 156 5 0 03 Oct 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 145 3 0 03 Sep 2024