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Deep AutoRegressive Networks

Deep AutoRegressive Networks

31 October 2013
Karol Gregor
Ivo Danihelka
A. Mnih
Charles Blundell
Daan Wierstra
    AI4TS
    BDL
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Papers citing "Deep AutoRegressive Networks"

15 / 65 papers shown
Title
The Variational Gaussian Process
The Variational Gaussian Process
Dustin Tran
Rajesh Ranganath
David M. Blei
BDL
34
184
0
20 Nov 2015
Neural Variational Inference for Text Processing
Neural Variational Inference for Text Processing
Yishu Miao
Lei Yu
Phil Blunsom
VLM
DRL
28
616
0
19 Nov 2015
MuProp: Unbiased Backpropagation for Stochastic Neural Networks
MuProp: Unbiased Backpropagation for Stochastic Neural Networks
S. Gu
Sergey Levine
Ilya Sutskever
A. Mnih
BDL
10
143
0
16 Nov 2015
Importance Weighted Autoencoders
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
15
1,236
0
01 Sep 2015
Gradient Estimation Using Stochastic Computation Graphs
Gradient Estimation Using Stochastic Computation Graphs
John Schulman
N. Heess
T. Weber
Pieter Abbeel
OffRL
35
389
0
17 Jun 2015
Data Generation as Sequential Decision Making
Data Generation as Sequential Decision Making
Philip Bachman
Doina Precup
24
57
0
10 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
50
4,109
0
21 May 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCV
BDL
25
1,872
0
20 May 2015
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
88
6,635
0
12 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
50
1,955
0
16 Feb 2015
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse
  Annealing
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
TPM
23
66
0
30 Dec 2014
From neural PCA to deep unsupervised learning
From neural PCA to deep unsupervised learning
Harri Valpola
BDL
41
184
0
28 Nov 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via
  Target Propagation
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
44
181
0
29 Jul 2014
Reweighted Wake-Sleep
Reweighted Wake-Sleep
J. Bornschein
Yoshua Bengio
BDL
24
181
0
11 Jun 2014
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
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