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On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

22 November 2023

Stefano Bruno

Ying Zhang

Dong-Young Lim

Ömer Deniz Akyildiz

Sotirios Sabanis

DiffM

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Papers citing "On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates"

35 / 35 papers shown

Title
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 159 5 0 28 Jan 2025
Score-based generative models are provably robust: an uncertainty quantification perspective Nikiforos Mimikos-Stamatopoulos Benjamin J. Zhang Markos A. Katsoulakis DiffM 87 7 0 24 May 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 94 13 0 23 Jan 2024
Tweedie Moment Projected Diffusions For Inverse Problems Benjamin Boys Mark Girolami Jakiw Pidstrigach Sebastian Reich Alan Mosca O. Deniz Akyildiz MedIm 49 31 0 10 Oct 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 83 116 0 07 Aug 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 79 15 0 23 May 2023
The probability flow ODE is provably fast Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 75 91 0 19 May 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 106 95 0 03 Mar 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 55 107 0 14 Feb 2023
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon Ying Fan Kangwook Lee DiffM 57 53 0 13 Dec 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 66 141 0 03 Nov 2022
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence Kaylee Yingxi Yang Andre Wibisono 57 12 0 02 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 857 0 29 Sep 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 236 137 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 199 276 0 22 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 76 84 0 31 Aug 2022
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 67 170 0 10 Aug 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 65 38 0 29 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 58 140 0 13 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 460 15,665 0 20 Dec 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 104 473 0 01 Jun 2021
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks Dong-Young Lim Sotirios Sabanis 76 12 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 241 7,857 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 344 6,480 0 26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 155 1,466 0 21 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 650 18,276 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 440 10,591 0 17 Feb 2020
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling Adam Block Youssef Mroueh Alexander Rakhlin DiffM 74 102 0 31 Jan 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 96 460 0 12 Jun 2019
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case M. Barkhagen N. H. Chau '. Moulines Miklós Rásonyi S. Sabanis Ying Zhang 60 38 0 06 Dec 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 83 529 0 28 May 2018
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015
Log-concavity and strong log-concavity: a review Adrien Saumard J. Wellner 108 280 0 23 Apr 2014