Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

31 January 2024

Papers citing "Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances"

16 / 16 papers shown

Title
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees Nishant Jain Xunpeng Huang Yian Ma Tong Zhang 36 0 0 02 May 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 22 1 0 07 Apr 2025
Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas M. Boffi Arthur Jacot Stephen Tu Ingvar M. Ziemann DiffM 29 1 0 15 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 33 3 0 04 Oct 2024
Theoretical guarantees in KL for Diffusion Flow Matching Marta Gentiloni Silveri Giovanni Conforti Alain Durmus 34 2 0 12 Sep 2024
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals Fuqun Han Stanley Osher Wuchen Li 40 1 0 03 Sep 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 50 0 0 01 Sep 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
Evaluating the design space of diffusion-based generative models Yuqing Wang Ye He Molei Tao DiffM 36 5 0 18 Jun 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 38 15 0 24 May 2024
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors Émile Pierret Bruno Galerne DiffM 33 3 0 23 May 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 54 29 0 06 Mar 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 36 23 0 12 Feb 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