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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"

50 / 335 papers shown
Title
Iterative Amortized Inference
Iterative Amortized Inference
Joseph Marino
Yisong Yue
Stephan Mandt
BDLDRL
81
168
0
24 Jul 2018
Understanding and Improving Interpolation in Autoencoders via an
  Adversarial Regularizer
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot
Colin Raffel
Aurko Roy
Ian Goodfellow
86
265
0
19 Jul 2018
Item Recommendation with Variational Autoencoders and Heterogenous
  Priors
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis
Kevin Raji Cherian
A. Narayan
Jie Yuan
Da Tang
Tony Jebara
DRL
57
45
0
17 Jul 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image
  Synthesis
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Huaibo Huang
Zhihang Li
Ran He
Zhenan Sun
Tieniu Tan
DRL
53
267
0
17 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models
Avoiding Latent Variable Collapse With Generative Skip Models
Adji Bousso Dieng
Yoon Kim
Alexander M. Rush
David M. Blei
DRL
67
175
0
12 Jul 2018
A Variational Time Series Feature Extractor for Action Prediction
A Variational Time Series Feature Extractor for Action Prediction
Maxime Chaveroche
Adrien Malaisé
F. Colas
François Charpillet
S. Ivaldi
AI4TS
42
8
0
06 Jul 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi
  Integral Bounds
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds
Septimia Sârbu
Riccardo Volpi
Alexandra Peste
Luigi Malagò
DRL
29
0
0
05 Jul 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Yuchen Lu
Peng Xu
DRL
70
73
0
03 Jul 2018
Hierarchical VampPrior Variational Fair Auto-Encoder
Hierarchical VampPrior Variational Fair Auto-Encoder
P. Botros
Jakub M. Tomczak
DRL
69
7
0
26 Jun 2018
Tensor Monte Carlo: particle methods for the GPU era
Tensor Monte Carlo: particle methods for the GPU era
Laurence Aitchison
BDLDRL
85
13
0
22 Jun 2018
Nonparametric Topic Modeling with Neural Inference
Nonparametric Topic Modeling with Neural Inference
Xuefei Ning
Yin Zheng
Zhuxi Jiang
Yu Wang
Huazhong Yang
Junzhou Huang
BDL
68
19
0
18 Jun 2018
Variational Autoencoder with Arbitrary Conditioning
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDLDRL
88
147
0
06 Jun 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
89
128
0
28 May 2018
Amortized Inference Regularization
Amortized Inference Regularization
Rui Shu
Hung Bui
Shengjia Zhao
Mykel J. Kochenderfer
Stefano Ermon
DRL
57
82
0
23 May 2018
Universal discriminative quantum neural networks
Universal discriminative quantum neural networks
Hongxiang Chen
Leonard Wossnig
Simone Severini
Hartmut Neven
Masoud Mohseni
69
81
0
22 May 2018
Learning Deep Sketch Abstraction
Learning Deep Sketch Abstraction
U. Muhammad
Yongxin Yang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
47
96
0
13 Apr 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
133
884
0
23 Mar 2018
Probabilistic Video Generation using Holistic Attribute Control
Probabilistic Video Generation using Holistic Attribute Control
Jiawei He
Andreas M. Lehrmann
Joseph Marino
Greg Mori
Leonid Sigal
VGenDiffMDRL
73
77
0
21 Mar 2018
Sylvester Normalizing Flows for Variational Inference
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg
Leonard Hasenclever
Jakub M. Tomczak
Max Welling
BDLDRL
124
253
0
15 Mar 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang
Bo Chen
D. Guo
Mingyuan Zhou
BDL
80
118
0
04 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal
  Exploration
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré
Sébastien Forestier
Olivier Sigaud
Pierre-Yves Oudeyer
SSLDRL
86
95
0
02 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
61
182
0
28 Feb 2018
Auto-Encoding Total Correlation Explanation
Auto-Encoding Total Correlation Explanation
Shuyang Gao
Rob Brekelmans
Greg Ver Steeg
Aram Galstyan
BDLDRL
86
78
0
16 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
99
76
0
14 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDLDRL
172
243
0
07 Feb 2018
Improving Bi-directional Generation between Different Modalities with
  Variational Autoencoders
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRL
52
8
0
26 Jan 2018
Inference Suboptimality in Variational Autoencoders
Inference Suboptimality in Variational Autoencoders
Chris Cremer
Xuechen Li
David Duvenaud
DRLBDL
137
283
0
10 Jan 2018
Variational Autoencoders for Learning Latent Representations of Speech
  Emotion: A Preliminary Study
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study
S. Latif
R. Rana
Junaid Qadir
J. Epps
SSLDRL
98
101
0
23 Dec 2017
Latent Constraints: Learning to Generate Conditionally from
  Unconditional Generative Models
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel
Matthew Hoffman
Adam Roberts
DRL
97
140
0
15 Nov 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
236
698
0
15 Nov 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
151
55
0
07 Nov 2017
Fast amortized inference of neural activity from calcium imaging data
  with variational autoencoders
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
Artur Speiser
Jinyao Yan
Evan Archer
Lars Buesing
Srinivas C. Turaga
Jakob H. Macke
BDL
59
47
0
06 Nov 2017
Fixing a Broken ELBO
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRLBDL
112
80
0
01 Nov 2017
Reconstruction of Hidden Representation for Robust Feature Extraction
Reconstruction of Hidden Representation for Robust Feature Extraction
Zeng Yu
Tianrui Li
Ning Yu
Yi Pan
Hongmei Chen
Bing-Quan Liu
49
27
0
08 Oct 2017
Learning hard quantum distributions with variational autoencoders
Learning hard quantum distributions with variational autoencoders
Andrea Rocchetto
Edward Grant
Sergii Strelchuk
Giuseppe Carleo
Simone Severini
BDLDRL
110
78
0
02 Oct 2017
Semi-supervised Learning with Deep Generative Models for Asset Failure
  Prediction
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction
A. Yoon
Taehoon Lee
Yongsub Lim
Deokwoo Jung
Philgyun Kang
Dongwon Kim
Keuntae Park
Yongjin Choi
MedIm
48
60
0
04 Sep 2017
A Generative Model For Zero Shot Learning Using Conditional Variational
  Autoencoders
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders
Ashish Mishra
M. K. Reddy
Anurag Mittal
H. Murthy
GANVLMDRL
95
302
0
03 Sep 2017
A learning framework for winner-take-all networks with stochastic
  synapses
A learning framework for winner-take-all networks with stochastic synapses
Hesham Mostafa
Gert Cauwenberghs
BDL
56
14
0
14 Aug 2017
Guiding InfoGAN with Semi-Supervision
Guiding InfoGAN with Semi-Supervision
Adrian Spurr
Emre Aksan
Otmar Hilliges
GAN
76
47
0
14 Jul 2017
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
368
206
0
06 Jul 2017
Channel-Recurrent Autoencoding for Image Modeling
Channel-Recurrent Autoencoding for Image Modeling
Wenling Shang
Kihyuk Sohn
Yuandong Tian
DRLGAN
27
3
0
12 Jun 2017
Tackling Over-pruning in Variational Autoencoders
Tackling Over-pruning in Variational Autoencoders
Serena Yeung
A. Kannan
Yann N. Dauphin
Li Fei-Fei
DRL
181
63
0
09 Jun 2017
Improving Variational Auto-Encoders using convex combination linear
  Inverse Autoregressive Flow
Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow
Jakub M. Tomczak
Max Welling
DRL
85
24
0
07 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
111
447
0
07 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep
  Generative Models
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth Narayanaswamy
Brooks Paige
Jan-Willem van de Meent
Alban Desmaison
Noah D. Goodman
Pushmeet Kohli
Frank Wood
Philip Torr
DRLCoGe
193
363
0
01 Jun 2017
Model Selection in Bayesian Neural Networks via Horseshoe Priors
Model Selection in Bayesian Neural Networks via Horseshoe Priors
S. Ghosh
Finale Doshi-Velez
BDL
86
120
0
29 May 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCVBDL
207
481
0
24 May 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
139
638
0
19 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement
  Learning
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Thomas M. Moerland
Joost Broekens
Catholijn M. Jonker
OffRL
96
31
0
01 May 2017
Multimodal Prediction and Personalization of Photo Edits with Deep
  Generative Models
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
A. Saeedi
Matthew D. Hoffman
S. DiVerdi
Asma Ghandeharioun
Matthew J. Johnson
Ryan P. Adams
DiffM
64
9
0
17 Apr 2017
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