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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
Yuchen Wu
Minshuo Chen
Zihao Li
Mengdi Wang
Yuting Wei
ArXivPDFHTML

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
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
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
Feature-guided score diffusion for sampling conditional densities
Zahra Kadkhodaie
S. Mallat
Eero P. Simoncelli
DiffM
29
1
0
15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
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
What does guidance do? A fine-grained analysis in a simple setting
Muthu Chidambaram
Khashayar Gatmiry
Sitan Chen
Holden Lee
Jianfeng Lu
29
8
0
19 Sep 2024
Differentially Private Kernel Density Estimation
Differentially Private Kernel Density Estimation
Erzhi Liu
Jerry Yao-Chieh Hu
Alex Reneau
Zhao Song
Han Liu
61
3
0
03 Sep 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
  Models
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
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
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
3DV
AI4CE
DiffM
34
11
0
29 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
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
Accelerating Convergence of Score-Based Diffusion Models, Provably
Gen Li
Yu Huang
Timofey Efimov
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
54
29
0
06 Mar 2024
Towards a mathematical theory for consistency training in diffusion
  models
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
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
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
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
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
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
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