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2302.07194
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Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
14 February 2023
Minshuo Chen
Kaixuan Huang
Tuo Zhao
Mengdi Wang
DiffM
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Papers citing
"Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data"
17 / 17 papers shown
Title
Generalization through variance: how noise shapes inductive biases in diffusion models
John J. Vastola
DiffM
92
1
0
16 Apr 2025
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
93
0
0
13 Feb 2025
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
Gen Li
Yuling Yan
DiffM
32
18
0
03 Jan 2025
On the Relation Between Linear Diffusion and Power Iteration
Dana Weitzner
M. Delbracio
P. Milanfar
Raja Giryes
DiffM
29
0
0
16 Oct 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
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
Hao Liu
Junze Tony Ye
Ye
Jose H. Blanchet
DiffM
FedML
32
1
0
28 Jun 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
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
Stefano Bruno
Ying Zhang
Dong-Young Lim
Ömer Deniz Akyildiz
Sotirios Sabanis
DiffM
27
4
0
22 Nov 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
13
7
0
04 Jul 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
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
208
50
0
27 May 2022
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
189
259
0
18 Apr 2021
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
85
115
0
28 Feb 2021
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