Convergence of denoising diffusion models under the manifold hypothesis

10 August 2022

Papers citing "Convergence of denoising diffusion models under the manifold hypothesis"

27 / 27 papers shown

Title
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients Stefano Bruno Sotirios Sabanis DiffM 41 0 0 06 May 2025
Capturing Conditional Dependence via Auto-regressive Diffusion Models Xunpeng Huang Yujin Han Difan Zou Yian Ma Tong Zhang DiffM 56 0 0 30 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 98 1 0 16 Apr 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 93 0 0 13 Feb 2025
An analysis of the noise schedule for score-based generative models SU StanislasStrasman Antonio Ocello Claire Boyer Lpsm Sylvain Le Corff Lpsm Vincent Lemaire DiffM 85 4 0 28 Jan 2025
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance Marta Gentiloni-Silveri Antonio Ocello 33 2 0 04 Jan 2025
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models Gen Li Yuling Yan DiffM 37 18 0 03 Jan 2025
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 29 0 0 16 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li Cai Zhou Xiyuan Wang Xingang Peng Muhan Zhang 37 1 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 47 3 0 03 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
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 32 1 0 28 Jun 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 47 0 0 03 Jun 2024
Deep MMD Gradient Flow without adversarial training Alexandre Galashov Valentin De Bortoli Arthur Gretton DiffM 32 7 0 10 May 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 31 0 0 05 Mar 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 64 16 0 07 Feb 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 21 7 0 06 Jan 2024
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design Kieran Didi Francisco Vargas Simon V. Mathis Vincent Dutordoir Emile Mathieu U. J. Komorowska Pietro Lió DiffM 30 13 0 14 Dec 2023
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 27 4 0 22 Nov 2023
MCRAGE: Synthetic Healthcare Data for Fairness Keira Behal Jiayi Chen Caleb Fikes Sophia Xiao SyDa MedIm 19 1 0 27 Oct 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning Junwoo Chang Hyunwoo Ryu Jiwoo Kim Soochul Yoo Jongeun Choi Joohwan Seo N. Prakash R. Horowitz DiffM AI4CE 18 6 0 19 Oct 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 90 9 0 19 Oct 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 21 9 0 28 Mar 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 27 84 0 28 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 23 80 0 02 Nov 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 217 164 0 06 Feb 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 40 186 0 17 Feb 2021