To smooth a cloud or to pin it down: Guarantees and Insights on Score
Matching in Denoising Diffusion Models

To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models

16 May 2023

Francisco Vargas

Michael M Bronstein

Papers citing "To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models"

14 / 14 papers shown

Title
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions Frank Cole Yulong Lu DiffM 51 5 0 12 Feb 2024
R-divergence for Estimating Model-oriented Distribution Discrepancy Zhilin Zhao Longbing Cao 111 1 0 02 Oct 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 101 91 0 02 Nov 2022
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity Jian Huang Yuling Jiao Lican Kang Xu Liao Jin Liu Yanyan Liu 67 28 0 21 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 93 461 0 01 Jun 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 122 657 0 22 Jan 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 294 6,409 0 26 Nov 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 189 1,687 0 05 Dec 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 154 209 0 23 May 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala Andre Wibisono 79 264 0 20 Mar 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 59 101 0 05 Mar 2019
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 244 4,778 0 04 Jan 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 258 6,887 0 12 Mar 2015
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,276 0 09 Jun 2012