Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian
Mixture Models

Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models

3 March 2024

Mengdi Wang

Papers citing "Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models"

18 / 18 papers shown

Title
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Gen Li Yuchen Jiao 46 0 0 02 May 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective Xiaoming Zhao Alexander Schwing FaML 63 0 0 13 Mar 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
Feature-guided score diffusion for sampling conditional densities Zahra Kadkhodaie S. Mallat Eero P. Simoncelli DiffM 21 1 0 15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 33 5 0 11 Oct 2024
What does guidance do? A fine-grained analysis in a simple setting Muthu Chidambaram Khashayar Gatmiry Sitan Chen Holden Lee Jianfeng Lu 24 8 0 19 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 56 3 0 03 Sep 2024
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
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen Yujin Han Diganta Misra Xiang Li Kai Hu Difan Zou Masashi Sugiyama Jindong Wang Bhiksha Raj DiffM 45 5 0 30 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 31 11 0 29 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 32 48 0 11 Apr 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 51 29 0 06 Mar 2024
Towards a mathematical theory for consistency training in diffusion models Gen Li Zhihan Huang Yuting Wei 61 16 0 12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 36 23 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
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022