Convergence of score-based generative modeling for general data distributions

26 September 2022

Papers citing "Convergence of score-based generative modeling for general data distributions"

23 / 23 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
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions Yiding Chen Yiyi Zhang Owen Oertell Wen Sun DiffM 47 0 0 06 May 2025
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Gen Li Yuchen Jiao 46 0 0 02 May 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 95 0 0 13 Feb 2025
On the query complexity of sampling from non-log-concave distributions Yuchen He Chihao Zhang 38 0 0 10 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 89 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
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 39 0 0 03 Jan 2025
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 22 0 05 Aug 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 47 0 0 03 Jun 2024
Model Free Prediction with Uncertainty Assessment Yuling Jiao Lican Kang Jin Liu Heng Peng Heng Zuo DiffM 28 0 0 21 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 36 11 0 29 Apr 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
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping Jianbin Zheng Minghui Hu Zhongyi Fan Chaoyue Wang Changxing Ding Dacheng Tao Tat-Jen Cham 35 26 0 29 Feb 2024
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
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 95 9 0 19 Oct 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 19 39 0 22 May 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 23 80 0 02 Nov 2022
Fisher information lower bounds for sampling Sinho Chewi P. Gerber Holden Lee Chen Lu 35 15 0 05 Oct 2022
Statistical Efficiency of Score Matching: The View from Isoperimetry Frederic Koehler Alexander Heckett Andrej Risteski DiffM 97 50 0 03 Oct 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 128 246 0 22 Sep 2022
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence Murat A. Erdogdu Rasa Hosseinzadeh Matthew Shunshi Zhang 78 41 0 22 Jul 2020