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2306.09251
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Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
15 June 2023
Gen Li
Yuting Wei
Yuxin Chen
Yuejie Chi
DiffM
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Papers citing
"Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models"
45 / 45 papers shown
Title
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Yiding Chen
Yiyi Zhang
Owen Oertell
Wen Sun
DiffM
47
0
0
06 May 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
Gen Li
Changxiao Cai
Yuting Wei
DiffM
20
1
0
07 Apr 2025
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization
Hanyang Zhao
Haoxian Chen
Yucheng Guo
Genta Indra Winata
Tingting Ou
Ziyu Huang
D. Yao
Wenpin Tang
54
0
0
13 Mar 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Zekun Wang
Mingyang Yi
Shuchen Xue
Z. Li
Ming Liu
Bing Qin
Zhi-Ming Ma
DiffM
37
0
0
24 Feb 2025
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
93
0
0
13 Feb 2025
Information-Theoretic Proofs for Diffusion Sampling
Galen Reeves
H. Pfister
DiffM
87
0
0
04 Feb 2025
Improved Convergence Rate for Diffusion Probabilistic Models
Gen Li
Yuchen Jiao
DiffM
36
6
0
17 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren
Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
33
3
0
04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
47
3
0
03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors
Vishal Purohit
Matthew Repasky
Jianfeng Lu
Qiang Qiu
Yao Xie
Xiuyuan Cheng
DiffM
26
1
0
02 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
Constrained Diffusion Models via Dual Training
Shervin Khalafi
Dongsheng Ding
Alejandro Ribeiro
27
3
0
27 Aug 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
Convergence of the denoising diffusion probabilistic models for general noise schedules
Yumiharu Nakano
DiffM
47
0
0
03 Jun 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen
Yinuo Ren
Lexing Ying
Grant M. Rotskoff
38
15
0
24 May 2024
Model Free Prediction with Uncertainty Assessment
Yuling Jiao
Lican Kang
Jin Liu
Heng Peng
Heng Zuo
DiffM
19
0
0
21 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
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
Xingyu Xu
Yuejie Chi
DiffM
24
20
0
25 Mar 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
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
Yuchen Wu
Minshuo Chen
Zihao Li
Mengdi Wang
Yuting Wei
35
23
0
03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li
Sitan Chen
DiffM
35
11
0
03 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He
Kevin Rojas
Molei Tao
DiffM
33
8
0
27 Feb 2024
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization
Hongrui Chen
Lexing Ying
22
11
0
12 Feb 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 Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao
Lingjiong Zhu
17
20
0
31 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han
Meisam Razaviyayn
Renyuan Xu
DiffM
38
12
0
28 Jan 2024
Contractive Diffusion Probabilistic Models
Wenpin Tang
Hanyang Zhao
DiffM
36
12
0
23 Jan 2024
A Good Score Does not Lead to A Good Generative Model
Sixu Li
Shi Chen
Qin Li
DiffM
64
15
0
10 Jan 2024
A Note on the Convergence of Denoising Diffusion Probabilistic Models
S. Mbacke
Omar Rivasplata
DiffM
14
5
0
10 Dec 2023
Conditional Stochastic Interpolation for Generative Learning
Ding Huang
Jian Huang
Ting Li
Guohao Shen
BDL
DiffM
31
4
0
09 Dec 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
Xiuyuan Cheng
Jianfeng Lu
Yixin Tan
Yao Xie
96
15
0
26 Oct 2023
Analysis of learning a flow-based generative model from limited sample complexity
Hugo Cui
Florent Krzakala
Eric Vanden-Eijnden
Lenka Zdeborová
DRL
22
17
0
05 Oct 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei
Yuchen Wu
DiffM
21
26
0
20 Sep 2023
Nearly
d
d
d
-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
Joe Benton
Valentin De Bortoli
Arnaud Doucet
George Deligiannidis
DiffM
31
101
0
07 Aug 2023
Learning Mixtures of Gaussians Using the DDPM Objective
Kulin Shah
Sitan Chen
Adam R. Klivans
DiffM
29
37
0
03 Jul 2023
Error Bounds for Flow Matching Methods
Joe Benton
George Deligiannidis
Arnaud Doucet
DiffM
20
31
0
26 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
Francesco Pedrotti
J. Maas
Marco Mondelli
DiffM
24
14
0
23 May 2023
The probability flow ODE is provably fast
Sitan Chen
Sinho Chewi
Holden Lee
Yuanzhi Li
Jianfeng Lu
Adil Salim
DiffM
28
84
0
19 May 2023
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko
Shunta Akiyama
Taiji Suzuki
DiffM
61
84
0
03 Mar 2023
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 in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
191
1,133
0
10 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
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