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Error Bounds for Flow Matching Methods
26 May 2023
Joe Benton
George Deligiannidis
Arnaud Doucet
DiffM
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Papers citing
"Error Bounds for Flow Matching Methods"
7 / 7 papers shown
Title
Local Flow Matching Generative Models
Chen Xu
Xiuyuan Cheng
Yao Xie
39
0
0
03 Jan 2025
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
33
3
0
04 Oct 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
33
21
0
05 Aug 2024
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
DiffM
244
261
0
15 Mar 2023
Convergence of score-based generative modeling for general data distributions
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
177
128
0
26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
123
245
0
22 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds
Heli Ben-Hamu
Samuel N. Cohen
Joey Bose
Brandon Amos
Aditya Grover
Maximilian Nickel
Ricky T. Q. Chen
Y. Lipman
50
39
0
11 Jul 2022
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