v1v2 (latest)

Convergence for score-based generative modeling with polynomial complexity

Neural Information Processing Systems (NeurIPS), 2022

13 June 2022

Papers citing "Convergence for score-based generative modeling with polynomial complexity"

22 / 72 papers shown

Title
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic LocalizationInternational Conference on Learning Representations (ICLR), 2023 Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 320 162 0 07 Aug 2023
Reverse Diffusion Monte CarloInternational Conference on Learning Representations (ICLR), 2023 Xunpeng Huang Hanze Dong Yi Hao Yi-An Ma Tong Zhang DiffM 393 35 0 05 Jul 2023
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing DiffusionsAnnual Conference Computational Learning Theory (COLT), 2023 Yilong Qin Andrej Risteski DiffM 285 2 0 15 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 252 79 0 15 Jun 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 233 61 0 26 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 260 19 0 23 May 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationInternational Conference on Machine Learning (ICML), 2023 Yu Chen Wei Deng Shikai Fang Fengpei Li Ni Yang Yikai Zhang Kashif Rasul Shandian Zhe Anderson Schneider Yuriy Nevmyvaka OT AI4TS 202 33 0 12 May 2023
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 286 4 0 01 May 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 1.0K 538 0 15 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type SamplersInternational Conference on Machine Learning (ICML), 2023 Sitan Chen Giannis Daras A. Dimakis DiffM 189 79 0 06 Mar 2023
Infinite-Dimensional Diffusion Models Jakiw Pidstrigach Youssef Marzouk Sebastian Reich Sven Wang 391 23 0 20 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional DataInternational Conference on Machine Learning (ICML), 2023 Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 124 140 0 14 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk ControlInternational Conference on Machine Learning (ICML), 2023 Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 341 41 0 07 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models Litu Rout Advait Parulekar Constantine Caramanis Sanjay Shakkottai DiffM 160 59 0 02 Feb 2023
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density Curtis McDonald Andrew R. Barron DiffM 187 3 0 06 Dec 2022
Convergence of the Inexact Langevin Algorithm and Score-based Generative Models in KL Divergence Kaylee Yingxi Yang Andre Wibisono 208 12 0 02 Nov 2022
Fisher information lower bounds for samplingInternational Conference on Algorithmic Learning Theory (ALT), 2022 Sinho Chewi P. Gerber Holden Lee Chen Lu 221 15 0 05 Oct 2022
Statistical Efficiency of Score Matching: The View from IsoperimetryInternational Conference on Learning Representations (ICLR), 2022 Frederic Koehler Alexander Heckett Andrej Risteski DiffM 301 59 0 03 Oct 2022
Convergence of score-based generative modeling for general data distributionsInternational Conference on Algorithmic Learning Theory (ALT), 2022 Holden Lee Jianfeng Lu Yixin Tan DiffM 489 166 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptionsInternational Conference on Learning Representations (ICLR), 2022 Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 472 347 0 22 Sep 2022
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 230 209 0 10 Aug 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 183 49 0 10 Jun 2022