Critical windows: non-asymptotic theory for feature emergence in diffusion models

3 March 2024

Papers citing "Critical windows: non-asymptotic theory for feature emergence in diffusion models"

7 / 7 papers shown

Title
Entropic Time Schedulers for Generative Diffusion Models Dejan Stancevic Luca Ambrogioni DiffM OOD 38 0 0 18 Apr 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 59 0 0 11 Feb 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 49 2 0 03 Jan 2025
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 21 0 05 Aug 2024
Towards a mathematical theory for consistency training in diffusion models Gen Li Zhihan Huang Yuting Wei 61 16 0 12 Feb 2024
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