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Learning the Stein Discrepancy for Training and Evaluating Energy-Based
  Models without Sampling

Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling

13 February 2020
Will Grathwohl
Kuan-Chieh Jackson Wang
J. Jacobsen
David Duvenaud
R. Zemel
ArXivPDFHTML

Papers citing "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"

4 / 4 papers shown
Title
Diffusion Models: A Comprehensive Survey of Methods and Applications
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
226
1,320
0
02 Sep 2022
How to Train Your Energy-Based Models
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
24
243
0
09 Jan 2021
Improved Contrastive Divergence Training of Energy Based Models
Improved Contrastive Divergence Training of Energy Based Models
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
41
139
0
02 Dec 2020
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
223
0
06 Mar 2017
1