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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
Generate High Resolution Images With Generative Variational Autoencoder
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Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
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Xun Huang
Jiahui Yu
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Arun Mallya
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155
0
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Solving inverse problems using conditional invertible neural networks
G. A. Padmanabha
N. Zabaras
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66
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0
31 Jul 2020
Neural Language Generation: Formulation, Methods, and Evaluation
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Qiaozhu Mei
158
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31 Jul 2020
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
M. Willetts
Xenia Miscouridou
Stephen J. Roberts
Chris Holmes
BDL
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86
5
0
14 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
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140
919
0
08 Jul 2020
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
Rianne van den Berg
A. Gritsenko
Mostafa Dehghani
C. Sønderby
Tim Salimans
92
61
0
22 Jun 2020
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Philip Torr
N. Siddharth
Tom Rainforth
CML
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97
47
0
17 Jun 2020
Isometric Autoencoders
Amos Gropp
Matan Atzmon
Y. Lipman
DRL
65
18
0
16 Jun 2020
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
Chi-Hieu Pham
Saïd Ladjal
A. Newson
DRL
98
33
0
14 Jun 2020
A Generalised Linear Model Framework for
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β
β
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Robert Sicks
R. Korn
Stefanie Schwaar
74
12
0
11 Jun 2020
Variational Autoencoder with Embedded Student-
t
t
t
Mixture Model for Authorship Attribution
Benedikt T. Boenninghoff
Steffen Zeiler
R. M. Nickel
D. Kolossa
BDL
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73
2
0
28 May 2020
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
T. V. Rozendaal
Guillaume Sautière
Taco S. Cohen
66
13
0
08 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDL
DRL
89
62
0
27 Apr 2020
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
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
Sajad Norouzi
David J. Fleet
Mohammad Norouzi
VLM
DRL
58
3
0
09 Apr 2020
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
182
123
0
26 Mar 2020
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
Michele Sebag
Victor Berger
Michèle Sebag
DRL
32
4
0
04 Mar 2020
Gradient Boosted Normalizing Flows
Robert Giaquinto
A. Banerjee
BDL
DRL
31
1
0
27 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
DRL
94
22
0
26 Feb 2020
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
Will Williams
Sam Ringer
T. Ash
John Hughes
D. Macleod
Jamie Dougherty
BDL
DRL
82
66
0
19 Feb 2020
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
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
Victor Berger
Michèle Sebag
BDL
CoGe
DRL
OCL
19
0
0
22 Jan 2020
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
Bin Dai
Ziyu Wang
David Wipf
DRL
97
76
0
23 Dec 2019
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
James Townsend
Thomas Bird
Julius Kunze
David Barber
BDL
VLM
151
56
0
20 Dec 2019
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
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
Erik Nijkamp
Bo Pang
Tian Han
Linqi Zhou
Song-Chun Zhu
Ying Nian Wu
BDL
DRL
89
2
0
04 Dec 2019
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
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CoGe
DRL
66
9
0
15 Nov 2019
Deep Variational Semi-Supervised Novelty Detection
Tal Daniel
Thanard Kurutach
Aviv Tamar
DRL
UQCV
97
21
0
12 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
92
180
0
06 Nov 2019
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
Weihao Xia
Yujiu Yang
Jing-Hao Xue
126
15
0
02 Nov 2019
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
R. Cornish
Anthony L. Caterini
George Deligiannidis
Arnaud Doucet
50
3
0
30 Sep 2019
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
M. Willetts
Stephen J. Roberts
Chris Holmes
CoGe
DRL
75
16
0
25 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDL
DRL
53
33
0
26 Aug 2019
Increasing the Generalisation Capacity of Conditional VAEs
Alexej Klushyn
Nutan Chen
Botond Cseke
Justin Bayer
Patrick van der Smagt
DRL
31
2
0
23 Aug 2019
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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