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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
The continuous Bernoulli: fixing a pervasive error in variational
  autoencoders
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem
John P. Cunningham
DRL
128
84
0
16 Jul 2019
Autoencoding sensory substitution
Autoencoding sensory substitution
Viktor Tóth
L. Parkkonen
33
6
0
14 Jul 2019
Universal audio synthesizer control with normalizing flows
Universal audio synthesizer control with normalizing flows
P. Esling
Naotake Masuda
Adrien Bardet
R. Despres
Axel Chemla-Romeu-Santos
83
45
0
01 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical
  Generative Models
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C. Biffi
Juan J. Cerrolaza
G. Tarroni
Wenjia Bai
A. de Marvao
...
Jinming Duan
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
MedIm
95
47
0
28 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical
  Bayes
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
R. Krishnan
Mahesh Subedar
Omesh Tickoo
BDL
80
47
0
12 Jun 2019
Explicit Disentanglement of Appearance and Perspective in Generative
  Models
Explicit Disentanglement of Appearance and Perspective in Generative Models
N. Detlefsen
Søren Hauberg
CoGeDRL
57
51
0
11 Jun 2019
Effective Use of Variational Embedding Capacity in Expressive End-to-End
  Speech Synthesis
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
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
199
2,385
0
06 Jun 2019
Reliable training and estimation of variance networks
Reliable training and estimation of variance networks
N. Detlefsen
Martin Jørgensen
Søren Hauberg
UQCV
124
89
0
04 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational
  Auto-Encoder
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
DRLBDL
84
14
0
31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
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
Pushmeet Kohli
Andrew Zisserman
Olaf Ronneberger
BDL
84
88
0
30 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
Simone Rossi
Sébastien Marmin
Maurizio Filippone
BDL
110
16
0
27 May 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for
  Investigating Learned Representations
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations
J. Livezey
Ahyeon Hwang
Jacob Yeung
K. Bouchard
98
0
0
23 May 2019
An Interactive Insight Identification and Annotation Framework for Power
  Grid Pixel Maps using DenseU-Hierarchical VAE
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
Tianye Zhang
Hao Feng
Zexian Chen
Can Wang
Yanhao Huang
Yong Tang
Wei Chen
23
1
0
22 May 2019
Learning Hierarchical Priors in VAEs
Learning Hierarchical Priors in VAEs
Alexej Klushyn
Nutan Chen
Richard Kurle
Botond Cseke
Patrick van der Smagt
BDLCMLDRL
105
101
0
13 May 2019
Boosting Generative Models by Leveraging Cascaded Meta-Models
Boosting Generative Models by Leveraging Cascaded Meta-Models
Fan Bao
Hang Su
Jun Zhu
31
1
0
11 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning
Adversarial Variational Embedding for Robust Semi-supervised Learning
Xiang Zhang
Lina Yao
Feng Yuan
DRLGAN
64
42
0
07 May 2019
Improved Conditional VRNNs for Video Prediction
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGenDRL
151
164
0
27 Apr 2019
Generated Loss and Augmented Training of MNIST VAE
Generated Loss and Augmented Training of MNIST VAE
Jason Chou
DRLGAN
34
5
0
24 Apr 2019
Generated Loss, Augmented Training, and Multiscale VAE
Generated Loss, Augmented Training, and Multiscale VAE
Jason Chou
Gautam Hathi
DRL
33
3
0
23 Apr 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
92
28
0
17 Apr 2019
Unsupervised Recurrent Neural Network Grammars
Unsupervised Recurrent Neural Network Grammars
Yoon Kim
Alexander M. Rush
Lei Yu
A. Kuncoro
Chris Dyer
Gábor Melis
LRMRALMSSL
136
115
0
07 Apr 2019
Generalized Variational Inference: Three arguments for deriving new
  Posteriors
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
DRLBDL
109
106
0
03 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
61
246
0
27 Mar 2019
Bandwidth Extension on Raw Audio via Generative Adversarial Networks
Bandwidth Extension on Raw Audio via Generative Adversarial Networks
S. Kim
V. Sathe
GAN
58
26
0
21 Mar 2019
Training Variational Autoencoders with Buffered Stochastic Variational
  Inference
Training Variational Autoencoders with Buffered Stochastic Variational Inference
Rui Shu
Hung Bui
Jay Whang
Stefano Ermon
BDL
56
3
0
27 Feb 2019
STCN: Stochastic Temporal Convolutional Networks
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan
Otmar Hilliges
BDL
59
61
0
18 Feb 2019
Contrastive Variational Autoencoder Enhances Salient Features
Contrastive Variational Autoencoder Enhances Salient Features
Abubakar Abid
James Zou
DRL
79
66
0
12 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe
Marco Fraccaro
Valentin Liévin
Ole Winther
BDLDRL
93
215
0
06 Feb 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDLDRL
110
273
0
16 Jan 2019
Dirichlet Variational Autoencoder
Dirichlet Variational Autoencoder
Weonyoung Joo
Wonsung Lee
Sungrae Park
Il-Chul Moon
BDLDRL
128
105
0
09 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational
  AutoEncoders
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma
Chunting Zhou
Eduard H. Hovy
DRL
75
39
0
06 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
121
42
0
17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OODSSLDRL
95
447
0
12 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning
Accelerate CNN via Recursive Bayesian Pruning
Yuefu Zhou
Ya Zhang
Yanfeng Wang
Qi Tian
BDL
70
58
0
02 Dec 2018
Deep Knockoffs
Deep Knockoffs
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
BDL
86
143
0
16 Nov 2018
A General Method for Amortizing Variational Filtering
A General Method for Amortizing Variational Filtering
Joseph Marino
Milan Cvitkovic
Yisong Yue
87
34
0
13 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming
Simple, Distributed, and Accelerated Probabilistic Programming
Like Hui
Matthew Hoffman
Siyuan Ma
Christopher Suter
Srinivas Vasudevan
Alexey Radul
M. Belkin
Rif A. Saurous
BDL
85
56
0
05 Nov 2018
Resampled Priors for Variational Autoencoders
Resampled Priors for Variational Autoencoders
Matthias Bauer
A. Mnih
BDLDRL
125
111
0
26 Oct 2018
Good Initializations of Variational Bayes for Deep Models
Good Initializations of Variational Bayes for Deep Models
Simone Rossi
Pietro Michiardi
Maurizio Filippone
BDL
130
22
0
18 Oct 2018
Taming VAEs
Taming VAEs
Danilo Jimenez Rezende
Fabio Viola
DRLCML
72
186
0
01 Oct 2018
Modulated Variational auto-Encoders for many-to-many musical timbre
  transfer
Modulated Variational auto-Encoders for many-to-many musical timbre transfer
Adrien Bitton
P. Esling
Axel Chemla-Romeu-Santos
61
25
0
29 Sep 2018
A Variational Observation Model of 3D Object for Probabilistic Semantic
  SLAM
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM
Hyeonwoo Yu
Beomhee Lee
74
21
0
14 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
Isac Arnekvist
Danica Kragic
J. A. Stork
OffRL
57
37
0
10 Sep 2018
Improving Explorability in Variational Inference with Annealed
  Variational Objectives
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang
Shawn Tan
Alexandre Lacoste
Aaron Courville
DRL
52
48
0
06 Sep 2018
A Variational Feature Encoding Method of 3D Object for Probabilistic
  Semantic SLAM
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM
Hyeonwoo Yu
Beomhee Lee
3DPC
40
15
0
30 Aug 2018
Hierarchical Quantized Representations for Script Generation
Hierarchical Quantized Representations for Script Generation
Noah Weber
L. Shekhar
Niranjan Balasubramanian
Nathanael Chambers
BDL
43
32
0
28 Aug 2018
Scalable Population Synthesis with Deep Generative Modeling
Scalable Population Synthesis with Deep Generative Modeling
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
41
58
0
21 Aug 2018
Auto-Encoding Variational Neural Machine Translation
Auto-Encoding Variational Neural Machine Translation
Bryan Eikema
Wilker Aziz
DRLBDL
84
39
0
27 Jul 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality
  Emotional Data
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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