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Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE

Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE

4 July 2017
Qiang Liu
Dilin Wang
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Papers citing "Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE"

4 / 4 papers shown
Title
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
138
0
02 Dec 2020
Minimum Stein Discrepancy Estimators
Minimum Stein Discrepancy Estimators
Alessandro Barp
François‐Xavier Briol
Andrew B. Duncan
Mark Girolami
Lester W. Mackey
33
90
0
19 Jun 2019
Deep Energy Estimator Networks
Deep Energy Estimator Networks
Saeed Saremi
Arash Mehrjou
Bernhard Schölkopf
Aapo Hyvarinen
17
73
0
21 May 2018
Learning Energy-Based Models as Generative ConvNets via Multi-grid
  Modeling and Sampling
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling
Ruiqi Gao
Yang Lu
Junpei Zhou
Song-Chun Zhu
Ying Nian Wu
39
78
0
26 Sep 2017
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