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

16 May 2023

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

6 / 6 papers shown

Title
R-divergence for Estimating Model-oriented Distribution Discrepancy Zhilin Zhao Longbing Cao 55 1 0 02 Oct 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 61 84 0 03 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
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 83 152 0 02 Mar 2020
MCMC using Hamiltonian dynamics Radford M. Neal 130 3,260 0 09 Jun 2012