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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"
50 / 335 papers shown
Title
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
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Universal audio synthesizer control with normalizing flows
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Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C. Biffi
Juan J. Cerrolaza
G. Tarroni
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A. de Marvao
...
Jinming Duan
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
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47
0
28 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
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Mahesh Subedar
Omesh Tickoo
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80
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12 Jun 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models
N. Detlefsen
Søren Hauberg
CoGe
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57
51
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11 Jun 2019
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
Eric Battenberg
Soroosh Mariooryad
Daisy Stanton
RJ Skerry-Ryan
Matt Shannon
David Kao
Tom Bagby
BDL
86
45
0
08 Jun 2019
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
199
2,385
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06 Jun 2019
Reliable training and estimation of variance networks
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Martin Jørgensen
Søren Hauberg
UQCV
124
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04 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder
Haowen Xu
Wenxiao Chen
Jinlin Lai
Zhihan Li
Youjian Zhao
Dan Pei
DRL
BDL
84
14
0
31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Simon A. A. Kohl
Bernardino Romera-Paredes
Klaus H. Maier-Hein
Danilo Jimenez Rezende
S. M. Ali Eslami
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Andrew Zisserman
Olaf Ronneberger
BDL
84
88
0
30 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
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Sébastien Marmin
Maurizio Filippone
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110
16
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K. Bouchard
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23 May 2019
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
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Hao Feng
Zexian Chen
Can Wang
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Yong Tang
Wei Chen
23
1
0
22 May 2019
Learning Hierarchical Priors in VAEs
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Nutan Chen
Richard Kurle
Botond Cseke
Patrick van der Smagt
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CML
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105
101
0
13 May 2019
Boosting Generative Models by Leveraging Cascaded Meta-Models
Fan Bao
Hang Su
Jun Zhu
31
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Adversarial Variational Embedding for Robust Semi-supervised Learning
Xiang Zhang
Lina Yao
Feng Yuan
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64
42
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Improved Conditional VRNNs for Video Prediction
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Nicolas Ballas
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151
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Generated Loss and Augmented Training of MNIST VAE
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34
5
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Generated Loss, Augmented Training, and Multiscale VAE
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Gautam Hathi
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33
3
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Effective Estimation of Deep Generative Language Models
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Wilker Aziz
BDL
92
28
0
17 Apr 2019
Unsupervised Recurrent Neural Network Grammars
Yoon Kim
Alexander M. Rush
Lei Yu
A. Kuncoro
Chris Dyer
Gábor Melis
LRM
RALM
SSL
136
115
0
07 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors
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Jack Jewson
Theodoros Damoulas
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109
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Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
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Jiebo Luo
SSL
61
246
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27 Mar 2019
Bandwidth Extension on Raw Audio via Generative Adversarial Networks
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V. Sathe
GAN
58
26
0
21 Mar 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference
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Hung Bui
Jay Whang
Stefano Ermon
BDL
56
3
0
27 Feb 2019
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan
Otmar Hilliges
BDL
59
61
0
18 Feb 2019
Contrastive Variational Autoencoder Enhances Salient Features
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James Zou
DRL
79
66
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12 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe
Marco Fraccaro
Valentin Liévin
Ole Winther
BDL
DRL
93
215
0
06 Feb 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
110
273
0
16 Jan 2019
Dirichlet Variational Autoencoder
Weonyoung Joo
Wonsung Lee
Sungrae Park
Il-Chul Moon
BDL
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128
105
0
09 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
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Chunting Zhou
Eduard H. Hovy
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A Tutorial on Deep Latent Variable Models of Natural Language
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Sam Wiseman
Alexander M. Rush
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121
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Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
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SSL
DRL
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447
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12 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning
Yuefu Zhou
Ya Zhang
Yanfeng Wang
Qi Tian
BDL
70
58
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02 Dec 2018
Deep Knockoffs
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
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86
143
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A General Method for Amortizing Variational Filtering
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Milan Cvitkovic
Yisong Yue
87
34
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13 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming
Like Hui
Matthew Hoffman
Siyuan Ma
Christopher Suter
Srinivas Vasudevan
Alexey Radul
M. Belkin
Rif A. Saurous
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85
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Resampled Priors for Variational Autoencoders
Matthias Bauer
A. Mnih
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125
111
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Good Initializations of Variational Bayes for Deep Models
Simone Rossi
Pietro Michiardi
Maurizio Filippone
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130
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18 Oct 2018
Taming VAEs
Danilo Jimenez Rezende
Fabio Viola
DRL
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72
186
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Modulated Variational auto-Encoders for many-to-many musical timbre transfer
Adrien Bitton
P. Esling
Axel Chemla-Romeu-Santos
61
25
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29 Sep 2018
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM
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Beomhee Lee
74
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VPE: Variational Policy Embedding for Transfer Reinforcement Learning
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Danica Kragic
J. A. Stork
OffRL
57
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10 Sep 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang
Shawn Tan
Alexandre Lacoste
Aaron Courville
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52
48
0
06 Sep 2018
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM
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Beomhee Lee
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40
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Hierarchical Quantized Representations for Script Generation
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L. Shekhar
Niranjan Balasubramanian
Nathanael Chambers
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43
32
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Scalable Population Synthesis with Deep Generative Modeling
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
41
58
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21 Aug 2018
Auto-Encoding Variational Neural Machine Translation
Bryan Eikema
Wilker Aziz
DRL
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84
39
0
27 Jul 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
Changde Du
Changying Du
Hao Wang
Jinpeng Li
Wei-Long Zheng
Bao-Liang Lu
Huiguang He
89
68
0
27 Jul 2018
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