Analysis of learning a flow-based generative model from limited sample
complexity

Analysis of learning a flow-based generative model from limited sample complexity

5 October 2023

Florent Krzakala

Eric Vanden-Eijnden

Lenka Zdeborová

Papers citing "Analysis of learning a flow-based generative model from limited sample complexity"

15 / 15 papers shown

Title
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 64 0 0 11 Feb 2025
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion Giannis Daras Yeshwanth Cherapanamjeri Constantinos Daskalakis DiffM 39 3 0 05 Nov 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure Xiang Li Yixiang Dai Qing Qu DiffM AI4CE 25 6 0 31 Oct 2024
What does guidance do? A fine-grained analysis in a simple setting Muthu Chidambaram Khashayar Gatmiry Sitan Chen Holden Lee Jianfeng Lu 37 8 0 19 Sep 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 35 22 0 05 Aug 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 43 11 0 29 Apr 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models Marvin Li Sitan Chen DiffM 45 11 0 03 Mar 2024
Dynamical Regimes of Diffusion Models Giulio Biroli Tony Bonnaire Valentin De Bortoli Marc Mézard DiffM 55 41 0 28 Feb 2024
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data Antonio Sclocchi Alessandro Favero M. Wyart DiffM 49 26 0 26 Feb 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 54 20 0 12 Feb 2024
A Good Score Does not Lead to A Good Generative Model Sixu Li Shi Chen Qin Li DiffM 79 15 0 10 Jan 2024
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 257 262 0 15 Mar 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 72 85 0 03 Mar 2023
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 191 128 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 135 247 0 22 Sep 2022