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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"
41 / 41 papers shown
Title
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Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
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Owen Oertell
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Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
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Changxiao Cai
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82
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07 Apr 2025
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization
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Ziyu Huang
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141
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13 Mar 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
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Mingyang Yi
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Regularization can make diffusion models more efficient
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Johannes Lederer
173
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Information-Theoretic Proofs for Diffusion Sampling
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H. Pfister
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154
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04 Feb 2025
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
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Haoxuan Chen
Grant M. Rotskoff
Lexing Ying
113
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Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
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Zixiang Chen
Quanquan Gu
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163
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Posterior sampling via Langevin dynamics based on generative priors
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Qiang Qiu
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Xiuyuan Cheng
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80
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What does guidance do? A fine-grained analysis in a simple setting
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Khashayar Gatmiry
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Holden Lee
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61
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Constrained Diffusion Models via Dual Training
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Dongsheng Ding
Alejandro Ribeiro
113
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A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models
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Yuting Wei
Yuejie Chi
Yuxin Chen
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134
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Convergence of the denoising diffusion probabilistic models for general noise schedules
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Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
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Yinuo Ren
Lexing Ying
Grant M. Rotskoff
102
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Model Free Prediction with Uncertainty Assessment
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Lican Kang
Jin Liu
Heng Peng
Heng Zuo
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21 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
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101
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An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
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Song Mei
Jianqing Fan
Mengdi Wang
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124
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11 Apr 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
Xingyu Xu
Yuejie Chi
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96
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25 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably
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Yu Huang
Timofey Efimov
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
101
37
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
110
29
0
03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li
Sitan Chen
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105
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Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He
Kevin Rojas
Molei Tao
DiffM
122
11
0
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Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization
Hongrui Chen
Lexing Ying
120
16
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12 Feb 2024
Towards a mathematical theory for consistency training in diffusion models
Gen Li
Zhihan Huang
Yuting Wei
117
18
0
12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
Wenpin Tang
Hanyang Zhao
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122
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0
12 Feb 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao
Lingjiong Zhu
127
21
0
31 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han
Meisam Razaviyayn
Renyuan Xu
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140
16
0
28 Jan 2024
Contractive Diffusion Probabilistic Models
Wenpin Tang
Hanyang Zhao
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109
14
0
23 Jan 2024
A Good Score Does not Lead to A Good Generative Model
Sixu Li
Shi Chen
Qin Li
DiffM
135
18
0
10 Jan 2024
A Note on the Convergence of Denoising Diffusion Probabilistic Models
S. Mbacke
Omar Rivasplata
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90
6
0
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Conditional Stochastic Interpolation for Generative Learning
Ding Huang
Jian Huang
Ting Li
Guohao Shen
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87
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Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
Xiuyuan Cheng
Jianfeng Lu
Yixin Tan
Yao Xie
231
19
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
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0
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei
Yuchen Wu
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86
28
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Nearly
d
d
d
-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
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Valentin De Bortoli
Arnaud Doucet
George Deligiannidis
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113
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0
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Learning Mixtures of Gaussians Using the DDPM Objective
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100
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Error Bounds for Flow Matching Methods
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George Deligiannidis
Arnaud Doucet
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111
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Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
Francesco Pedrotti
J. Maas
Marco Mondelli
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115
15
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The probability flow ODE is provably fast
Sitan Chen
Sinho Chewi
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Yuanzhi Li
Jianfeng Lu
Adil Salim
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102
91
0
19 May 2023
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