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An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization

An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

11 April 2024
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
    VLM
    MedIm
    DiffM
ArXivPDFHTML

Papers citing "An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization"

12 / 62 papers shown
Title
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
80
1,429
0
21 Sep 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
146
1,135
0
16 Jun 2020
Model Inversion Networks for Model-Based Optimization
Model Inversion Networks for Model-Based Optimization
Aviral Kumar
Sergey Levine
OffRL
74
97
0
31 Dec 2019
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
100
966
0
04 Dec 2019
Reconstructing continuous distributions of 3D protein structure from
  cryo-EM images
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
Ellen D. Zhong
Tristan Bepler
Joseph H. Davis
Bonnie Berger
3DV
45
109
0
11 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
178
3,803
0
12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score
  Estimation
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
72
409
0
17 May 2019
Error bounds for approximations with deep ReLU neural networks in
  $W^{s,p}$ norms
Error bounds for approximations with deep ReLU neural networks in Ws,pW^{s,p}Ws,p norms
Ingo Gühring
Gitta Kutyniok
P. Petersen
60
200
0
21 Feb 2019
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
212
3,110
0
09 Jul 2018
Optimal approximation of continuous functions by very deep ReLU networks
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
127
293
0
10 Feb 2018
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
90
3,005
0
19 Oct 2017
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
140
805
0
22 Aug 2017
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