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On the Equivalence Between Deep NADE and Generative Stochastic Networks

On the Equivalence Between Deep NADE and Generative Stochastic Networks

2 September 2014
L. Yao
Sherjil Ozair
Kyunghyun Cho
Yoshua Bengio
    BDL
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Papers citing "On the Equivalence Between Deep NADE and Generative Stochastic Networks"

5 / 5 papers shown
Title
Improving Source Separation by Explicitly Modeling Dependencies Between
  Sources
Improving Source Separation by Explicitly Modeling Dependencies Between Sources
Ethan Manilow
Curtis Hawthorne
Cheng-Zhi Anna Huang
Bryan Pardo
Jesse Engel
BDL
28
7
0
28 Mar 2022
Counterpoint by Convolution
Counterpoint by Convolution
Cheng-Zhi Anna Huang
Tim Cooijmans
Adam Roberts
Aaron Courville
Douglas Eck
BDL
27
149
0
18 Mar 2019
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
70
6,608
0
12 Mar 2015
Iterative Neural Autoregressive Distribution Estimator (NADE-k)
Iterative Neural Autoregressive Distribution Estimator (NADE-k)
T. Raiko
L. Yao
Kyunghyun Cho
Yoshua Bengio
26
42
0
05 Jun 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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