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Ladder Variational Autoencoders
v1v2v3 (latest)

Ladder Variational Autoencoders

6 February 2016
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
    BDLDRL
ArXiv (abs)PDFHTML

Papers citing "Ladder Variational Autoencoders"

35 / 335 papers shown
Title
A Neural Representation of Sketch Drawings
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
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
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
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
Learning Hierarchical Features from Generative Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
BDLGANOODDRL
89
74
0
27 Feb 2017
Variational Inference using Implicit Distributions
Variational Inference using Implicit Distributions
Ferenc Huszár
DRLGAN
175
135
0
27 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
103
253
0
08 Feb 2017
Pixel Recursive Super Resolution
Pixel Recursive Super Resolution
Ryan Dahl
Mohammad Norouzi
Jonathon Shlens
SupR
150
252
0
02 Feb 2017
Improving Variational Auto-Encoders using Householder Flow
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDLDRL
126
175
0
29 Nov 2016
Bottleneck Conditional Density Estimation
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
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDLDRL
121
737
0
16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRLSSLBDL
95
340
0
15 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
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
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRLGAN
85
224
0
07 Nov 2016
Discrete Variational Autoencoders
Discrete Variational Autoencoders
J. Rolfe
BDLDRL
219
260
0
07 Sep 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
BDLDRL
162
1,828
0
15 Jun 2016
Towards a Neural Statistician
Towards a Neural Statistician
Harrison Edwards
Amos Storkey
BDL
132
428
0
07 Jun 2016
Sequential Neural Models with Stochastic Layers
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
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
Auxiliary Deep Generative Models
Lars Maaløe
C. Sønderby
Søren Kaae Sønderby
Ole Winther
DRLGAN
128
451
0
17 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
578
2,581
0
25 Jan 2016
The Variational Gaussian Process
The Variational Gaussian Process
Dustin Tran
Rajesh Ranganath
David M. Blei
BDL
131
186
0
20 Nov 2015
Generating Sentences from a Continuous Space
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
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
302
1,247
0
01 Sep 2015
Semi-Supervised Learning with Ladder Networks
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
Bidirectional Helmholtz Machines
J. Bornschein
Samira Shabanian
Asja Fischer
Yoshua Bengio
122
26
0
12 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
511
4,208
0
21 May 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
197
1,963
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
604
43,408
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
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
From neural PCA to deep unsupervised learning
Harri Valpola
BDL
100
185
0
28 Nov 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
115
2,751
0
20 Jun 2014
Iterative Neural Autoregressive Distribution Estimator (NADE-k)
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
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
554
16,907
0
20 Dec 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
118
1,420
0
23 Nov 2012
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