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Symmetries and control in generative neural nets
v1v2v3 (latest)

Symmetries and control in generative neural nets

9 November 2015
Galin Georgiev
    AI4CEGAN
ArXiv (abs)PDFHTML

Papers citing "Symmetries and control in generative neural nets"

16 / 16 papers shown
Title
Towards universal neural nets: Gibbs machines and ACE
Towards universal neural nets: Gibbs machines and ACE
Galin Georgiev
AI4CEBDL
29
2
0
26 Aug 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
109
2,245
0
18 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
318
7,396
0
05 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,197
0
21 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
SyDaDiffM
312
7,031
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
GANDRL
182
1,962
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
131
2,269
0
30 Oct 2014
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GANSSLBDL
103
2,742
0
20 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
158
5,008
0
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
458
16,922
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
600
15,907
0
12 Nov 2013
Deep Generative Stochastic Networks Trainable by Backprop
Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio
Eric Thibodeau-Laufer
Guillaume Alain
J. Yosinski
BDL
131
396
0
05 Jun 2013
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
100
1,420
0
23 Nov 2012
A Generative Process for Sampling Contractive Auto-Encoders
A Generative Process for Sampling Contractive Auto-Encoders
Salah Rifai
Yoshua Bengio
Yann N. Dauphin
Pascal Vincent
GANDRL
89
51
0
27 Jun 2012
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
181
3,945
0
13 Feb 2012
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