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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
Generate High Resolution Images With Generative Variational Autoencoder
Abhinav Sagar
GANDRL
39
3
0
12 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
170
155
0
06 Aug 2020
Solving inverse problems using conditional invertible neural networks
Solving inverse problems using conditional invertible neural networks
G. A. Padmanabha
N. Zabaras
AI4CE
66
65
0
31 Jul 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
158
30
0
31 Jul 2020
Perpetual Motion: Generating Unbounded Human Motion
Perpetual Motion: Generating Unbounded Human Motion
Yan Zhang
Michael J. Black
Siyu Tang
3DH
107
47
0
27 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs
Relaxed-Responsibility Hierarchical Discrete VAEs
M. Willetts
Xenia Miscouridou
Stephen J. Roberts
Chris Holmes
BDLDRL
86
5
0
14 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
140
919
0
08 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders
Simple and Effective VAE Training with Calibrated Decoders
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
105
95
0
23 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless
  Compression
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg
A. Gritsenko
Mostafa Dehghani
C. Sønderby
Tim Salimans
92
61
0
22 Jun 2020
Capturing Label Characteristics in VAEs
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Philip Torr
N. Siddharth
Tom Rainforth
CMLDRL
97
47
0
17 Jun 2020
Isometric Autoencoders
Isometric Autoencoders
Amos Gropp
Matan Atzmon
Y. Lipman
DRL
65
18
0
16 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang
Bo Chen
Yulai Cong
D. Guo
Hongwei Liu
Mingyuan Zhou
BDL
70
28
0
15 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the
  latent space of generative networks
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Chi-Hieu Pham
Saïd Ladjal
A. Newson
DRL
98
33
0
14 Jun 2020
A Generalised Linear Model Framework for $β$-Variational
  Autoencoders based on Exponential Dispersion Families
A Generalised Linear Model Framework for βββ-Variational Autoencoders based on Exponential Dispersion Families
Robert Sicks
R. Korn
Stefanie Schwaar
77
12
0
11 Jun 2020
Variational Autoencoder with Embedded Student-$t$ Mixture Model for
  Authorship Attribution
Variational Autoencoder with Embedded Student-ttt Mixture Model for Authorship Attribution
Benedikt T. Boenninghoff
Steffen Zeiler
R. M. Nickel
D. Kolossa
BDLDRL
73
2
0
28 May 2020
Learning Robust Feature Representations for Scene Text Detection
Learning Robust Feature Representations for Scene Text Detection
Sihwan Kim
T. Park
OOD
38
2
0
26 May 2020
Lossy Compression with Distortion Constrained Optimization
Lossy Compression with Distortion Constrained Optimization
T. V. Rozendaal
Guillaume Sautière
Taco S. Cohen
66
13
0
08 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDLDRL
89
62
0
27 Apr 2020
Decoupling Global and Local Representations via Invertible Generative
  Flows
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma
X. Kong
Shanghang Zhang
Eduard H. Hovy
DRL
84
3
0
12 Apr 2020
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
109
256
0
10 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and
  Data Augmentation
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
Sajad Norouzi
David J. Fleet
Mohammad Norouzi
VLMDRL
60
3
0
09 Apr 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
182
123
0
26 Mar 2020
On the benefits of defining vicinal distributions in latent space
On the benefits of defining vicinal distributions in latent space
Puneet Mangla
Vedant Singh
Shreyas Jayant Havaldar
V. Balasubramanian
AAML
21
3
0
14 Mar 2020
Variational Auto-Encoder: not all failures are equal
Variational Auto-Encoder: not all failures are equal
Michele Sebag
Victor Berger
Michèle Sebag
DRL
35
4
0
04 Mar 2020
Gradient Boosted Normalizing Flows
Gradient Boosted Normalizing Flows
Robert Giaquinto
A. Banerjee
BDLDRL
31
1
0
27 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision
NestedVAE: Isolating Common Factors via Weak Supervision
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CMLDRL
94
22
0
26 Feb 2020
Progressive Learning and Disentanglement of Hierarchical Representations
Progressive Learning and Disentanglement of Hierarchical Representations
Zhiyuan Li
J. Murkute
P. Gyawali
Linwei Wang
DRL
71
41
0
24 Feb 2020
Hierarchical Quantized Autoencoders
Hierarchical Quantized Autoencoders
Will Williams
Sam Ringer
T. Ash
John Hughes
D. Macleod
Jamie Dougherty
BDLDRL
82
66
0
19 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
115
89
0
17 Feb 2020
Learning Flat Latent Manifolds with VAEs
Learning Flat Latent Manifolds with VAEs
Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
85
42
0
12 Feb 2020
From abstract items to latent spaces to observed data and back:
  Compositional Variational Auto-Encoder
From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder
Victor Berger
Michèle Sebag
BDLCoGeDRLOCL
19
0
0
22 Jan 2020
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor
  Analysis
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
Christopher J. Urban
Daniel J. Bauer
BDL
81
33
0
22 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai
Ziyu Wang
David Wipf
DRL
97
76
0
23 Dec 2019
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable
  Models
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
James Townsend
Thomas Bird
Julius Kunze
David Barber
BDLVLM
151
56
0
20 Dec 2019
Pseudo-Encoded Stochastic Variational Inference
Pseudo-Encoded Stochastic Variational Inference
Amir Zadeh
Smon Hessner
Y. Lim
Louis-Philippe Morency
BDL
23
0
0
19 Dec 2019
Encoding Musical Style with Transformer Autoencoders
Encoding Musical Style with Transformer Autoencoders
Kristy Choi
Curtis Hawthorne
Ian Simon
Monica Dinculescu
Jesse Engel
95
90
0
10 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization
  of Short Run MCMC for Approximate Inference
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
Erik Nijkamp
Bo Pang
Tian Han
Linqi Zhou
Song-Chun Zhu
Ying Nian Wu
BDLDRL
89
2
0
04 Dec 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
78
34
0
21 Nov 2019
Gated Variational AutoEncoders: Incorporating Weak Supervision to
  Encourage Disentanglement
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CoGeDRL
66
9
0
15 Nov 2019
Deep Variational Semi-Supervised Novelty Detection
Deep Variational Semi-Supervised Novelty Detection
Tal Daniel
Thanard Kurutach
Aviv Tamar
DRLUQCV
97
21
0
12 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGeDRL
92
180
0
06 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim
B. Suh
70
52
0
03 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with
  Explicit Domain-Constrained Disentanglement
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Weihao Xia
Yujiu Yang
Jing-Hao Xue
126
15
0
02 Nov 2019
Increasing Expressivity of a Hyperspherical VAE
Increasing Expressivity of a Hyperspherical VAE
Tim R. Davidson
Jakub M. Tomczak
E. Gavves
52
5
0
07 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising
  Flows
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
R. Cornish
Anthony L. Caterini
George Deligiannidis
Arnaud Doucet
50
3
0
30 Sep 2019
Automated curricula through setter-solver interactions
Automated curricula through setter-solver interactions
S. Racanière
Andrew Kyle Lampinen
Adam Santoro
David P. Reichert
Vlad Firoiu
Timothy Lillicrap
81
53
0
27 Sep 2019
Disentangling to Cluster: Gaussian Mixture Variational Ladder
  Autoencoders
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders
M. Willetts
Stephen J. Roberts
Chris Holmes
CoGeDRL
75
16
0
25 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDLDRL
53
33
0
26 Aug 2019
Increasing the Generalisation Capacity of Conditional VAEs
Increasing the Generalisation Capacity of Conditional VAEs
Alexej Klushyn
Nutan Chen
Botond Cseke
Justin Bayer
Patrick van der Smagt
DRL
39
2
0
23 Aug 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion
  and Segmentation
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
Reuben Dorent
Samuel Joutard
Marc Modat
Sébastien Ourselin
Tom Vercauteren
MedIm
78
125
0
25 Jul 2019
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