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1602.02282
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Ladder Variational Autoencoders
6 February 2016
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDL
DRL
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Papers citing
"Ladder Variational Autoencoders"
35 / 335 papers shown
Title
A Neural Representation of Sketch Drawings
David R Ha
Douglas Eck
143
870
0
11 Apr 2017
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding
Dieu Linh Tran
R. Walecki
Ognjen Rudovic
Stefanos Eleftheriadis
Bjørn Schuller
Maja Pantic
81
54
0
07 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models
Lars Maaløe
Marco Fraccaro
Ole Winther
117
28
0
03 Apr 2017
Towards Deeper Understanding of Variational Autoencoding Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
88
158
0
28 Feb 2017
Learning Hierarchical Features from Generative Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
BDL
GAN
OOD
DRL
89
74
0
27 Feb 2017
Variational Inference using Implicit Distributions
Ferenc Huszár
DRL
GAN
175
135
0
27 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
103
253
0
08 Feb 2017
Pixel Recursive Super Resolution
Ryan Dahl
Mohammad Norouzi
Jonathon Shlens
SupR
150
252
0
02 Feb 2017
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDL
DRL
126
175
0
29 Nov 2016
Bottleneck Conditional Density Estimation
Rui Shu
Hung Bui
Mohammad Ghavamzadeh
BDL
60
23
0
25 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDL
DRL
121
737
0
16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRL
SSL
BDL
95
340
0
15 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
87
658
0
08 Nov 2016
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRL
GAN
85
224
0
07 Nov 2016
Discrete Variational Autoencoders
J. Rolfe
BDL
DRL
219
260
0
07 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
162
1,828
0
15 Jun 2016
Towards a Neural Statistician
Harrison Edwards
Amos Storkey
BDL
132
428
0
07 Jun 2016
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
129
399
0
24 May 2016
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
274
2,341
0
09 May 2016
Auxiliary Deep Generative Models
Lars Maaløe
C. Sønderby
Søren Kaae Sønderby
Ole Winther
DRL
GAN
128
451
0
17 Feb 2016
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
575
2,581
0
25 Jan 2016
The Variational Gaussian Process
Dustin Tran
Rajesh Ranganath
David M. Blei
BDL
131
186
0
20 Nov 2015
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
121
2,368
0
19 Nov 2015
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
302
1,247
0
01 Sep 2015
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
113
1,373
0
09 Jul 2015
Bidirectional Helmholtz Machines
J. Bornschein
Samira Shabanian
Asja Fischer
Yoshua Bengio
122
26
0
12 Jun 2015
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
508
4,208
0
21 May 2015
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
197
1,963
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
598
43,408
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.5K
150,661
0
22 Dec 2014
From neural PCA to deep unsupervised learning
Harri Valpola
BDL
100
185
0
28 Nov 2014
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GAN
SSL
BDL
115
2,751
0
20 Jun 2014
Iterative Neural Autoregressive Distribution Estimator (NADE-k)
T. Raiko
L. Yao
Kyunghyun Cho
Yoshua Bengio
122
42
0
05 Jun 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
554
16,907
0
20 Dec 2013
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
118
1,420
0
23 Nov 2012
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