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Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
    SyDa
    DiffM
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Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

19 / 1,469 papers shown
Title
Unsupervised Multi-Domain Image Translation with Domain-Specific
  Encoders/Decoders
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders
Le Hui
Xiang Li
Jiaxin Chen
Hongliang He
Chen Gong
Jian Yang
32
42
0
06 Dec 2017
Variational Walkback: Learning a Transition Operator as a Stochastic
  Recurrent Net
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal
Nan Rosemary Ke
Surya Ganguli
Yoshua Bengio
DiffM
35
55
0
07 Nov 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
51
57
0
04 Sep 2017
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
33
413
0
18 Jul 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
19
933
0
19 Jan 2017
An Architecture for Deep, Hierarchical Generative Models
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
AI4CE
BDL
33
53
0
08 Dec 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
27
150
0
19 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
47
671
0
08 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
59
1,000
0
07 Nov 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming Liu
Oncel Tuzel
OOD
GAN
43
1,624
0
24 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
58
1,798
0
15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,649
0
26 May 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
20
315
0
24 Mar 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,553
0
25 Jan 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
170
13,937
0
19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
28
323
0
18 Nov 2015
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
38
1,132
0
05 Nov 2015
Data Generation as Sequential Decision Making
Data Generation as Sequential Decision Making
Philip Bachman
Doina Precup
30
57
0
10 Jun 2015
Automatic Relevance Determination For Deep Generative Models
Automatic Relevance Determination For Deep Generative Models
Theofanis Karaletsos
Gunnar Rätsch
33
8
0
28 May 2015
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