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Score Approximation, Estimation and Distribution Recovery of Diffusion
  Models on Low-Dimensional Data

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
ArXivPDFHTML

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
Generalization through variance: how noise shapes inductive biases in diffusion models
John J. Vastola
DiffM
95
1
0
16 Apr 2025
Regularization can make diffusion models more efficient
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
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
Gen Li
Yuling Yan
DiffM
37
18
0
03 Jan 2025
On the Relation Between Linear Diffusion and Power Iteration
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
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
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
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
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
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
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
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
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
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
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
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
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
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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