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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
ArXiv (abs)PDFHTMLGithub

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

22 / 22 papers shown
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
Jiayuan Sheng
Hanyang Zhao
Haoxian Chen
David Yao
Wenpin Tang
202
3
0
12 Oct 2025
Learn to Guide Your Diffusion Model
Learn to Guide Your Diffusion Model
Alexandre Galashov
Ashwini Pokle
Arnaud Doucet
Arthur Gretton
Mauricio Delbracio
Valentin De Bortoli
DiffM
494
3
0
01 Oct 2025
Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
Cheng Jin
Qitan Shi
Yuantao Gu
352
4
0
26 Sep 2025
DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models
DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models
Yinuo Ren
Wenhao Gao
Lexing Ying
Grant M. Rotskoff
Jiequn Han
259
10
0
25 Sep 2025
Non-asymptotic convergence bound of conditional diffusion models
Non-asymptotic convergence bound of conditional diffusion models
Mengze Li
DiffM
191
1
0
13 Aug 2025
Build the web for agents, not agents for the web
Build the web for agents, not agents for the web
Xing Han Lù
Gaurav Kamath
Marius Mosbach
Siva Reddy
LLMAGLM&Ro
477
3
0
12 Jun 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen
Yinuo Ren
Martin Renqiang Min
Lexing Ying
Zachary Izzo
DiffMMedIm
548
15
0
04 Jun 2025
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Fangyikang Wang
Hubery Yin
Shaobin Zhuang
Huminhao Zhu
Yinan Li
Lei Qian
Chao Zhang
Hanbin Zhao
Hui Qian
Chen Li
251
4
0
29 May 2025
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
Cheng Jin
Zhenyu Xiao
Chutao Liu
Yuantao Gu
DiffM
320
6
0
21 May 2025
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
232
6
0
02 May 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
Xiaoming Zhao
Alexander Schwing
FaML
433
1
0
13 Mar 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
314
3
0
15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis
Linear Convergence of Diffusion Models Under the Manifold HypothesisAnnual Conference Computational Learning Theory (COLT), 2024
Peter Potaptchik
Iskander Azangulov
George Deligiannidis
DiffM
393
28
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 settingNeural Information Processing Systems (NeurIPS), 2024
Muthu Chidambaram
Khashayar Gatmiry
Sitan Chen
Holden Lee
Jianfeng Lu
278
38
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
536
8
0
03 Sep 2024
Classifier-Free Guidance is a Predictor-Corrector
Classifier-Free Guidance is a Predictor-Corrector
Arwen Bradley
Preetum Nakkiran
DiffM
513
66
0
16 Aug 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
356
57
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
Yongfeng Zhang
Bhiksha Raj
DiffM
341
12
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
3DVAI4CEDiffM
354
17
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
VLMMedImDiffM
435
96
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
388
75
0
06 Mar 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical TutorialStatistics Survey (Stat. Surv.), 2024
Wenpin Tang
Hanyang Zhao
DiffM
527
46
0
12 Feb 2024
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