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An Introduction to Variational Autoencoders
v1v2v3 (latest)

An Introduction to Variational Autoencoders

6 June 2019
Diederik P. Kingma
Max Welling
    BDLSSLDRL
ArXiv (abs)PDFHTML

Papers citing "An Introduction to Variational Autoencoders"

50 / 838 papers shown
Title
Population synthesis for urban resident modeling using deep generative
  models
Population synthesis for urban resident modeling using deep generative models
M. Johnsen
Oliver Brandt
Sergio Garrido
Francisco Câmara Pereira
80
11
0
13 Nov 2020
Reward Conditioned Neural Movement Primitives for Population Based
  Variational Policy Optimization
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization
M. Akbulut
Utku Bozdoğan
Ahmet E. Tekden
Emre Ugur
109
5
0
09 Nov 2020
Data--driven Image Restoration with Option--driven Learning for Big and
  Small Astronomical Image Datasets
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
P. Jia
Ruiyu Ning
Ruiqi Sun
Xiaoshan Yang
Dongmei Cai
GAN
44
11
0
07 Nov 2020
Learning a Generative Motion Model from Image Sequences based on a
  Latent Motion Matrix
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix
Julian Krebs
H. Delingette
N. Ayache
Tommaso Mansi
MedIm
73
14
0
03 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three
  Entropies
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies
Simon Damm
D. Forster
Dmytro Velychko
Zhenwen Dai
Asja Fischer
Jörg Lücke
DRL
69
5
0
28 Oct 2020
Improving seasonal forecast using probabilistic deep learning
Improving seasonal forecast using probabilistic deep learning
B. Pan
G. Anderson
André Goncalves
Donald D. Lucas
C. Bonfils
Jiwoo Lee
BDLAI4Cl
118
33
0
27 Oct 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason J. Yu
Konstantinos G. Derpanis
Marcus A. Brubaker
TPM
166
41
0
26 Oct 2020
Scalable Gaussian Process Variational Autoencoders
Scalable Gaussian Process Variational Autoencoders
Metod Jazbec
Matthew Ashman
Vincent Fortuin
Michael Pearce
Stephan Mandt
Gunnar Rätsch
DRLBDL
89
29
0
26 Oct 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using
  Stein's Unbiased Risk Estimate
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Ruangrawee Kitichotkul
Christopher A. Metzler
Frank Ong
Gordon Wetzstein
UQCV
86
8
0
25 Oct 2020
Two-sample Test using Projected Wasserstein Distance
Two-sample Test using Projected Wasserstein Distance
Jie Wang
Rui Gao
Yao Xie
111
21
0
22 Oct 2020
Principled Interpolation in Normalizing Flows
Principled Interpolation in Normalizing Flows
Samuel G. Fadel
Sebastian Mair
Ricardo da S. Torres
Ulf Brefeld
146
3
0
22 Oct 2020
Probabilistic Character Motion Synthesis using a Hierarchical Deep
  Latent Variable Model
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
Saeed Ghorbani
C. Wloka
Ali Etemad
M. Brubaker
N. Troje
3DV
78
32
0
20 Oct 2020
A semi-supervised autoencoder framework for joint generation and
  classification of breathing
A semi-supervised autoencoder framework for joint generation and classification of breathing
O. Pastor-Serrano
D. Lathouwers
Zoltán Perkó
MedImAI4TS
23
0
0
19 Oct 2020
Variational Capsule Encoder
Variational Capsule Encoder
Harish RaviPrakash
Syed Muhammad Anwar
Ulas Bagci
BDLDRL
43
2
0
18 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy
  subgaussian mixtures
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures
Aaron Berk
43
0
0
13 Oct 2020
Controlling the Interaction Between Generation and Inference in
  Semi-Supervised Variational Autoencoders Using Importance Weighting
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
56
1
0
13 Oct 2020
PAST-AI: Physical-layer Authentication of Satellite Transmitters via
  Deep Learning
PAST-AI: Physical-layer Authentication of Satellite Transmitters via Deep Learning
Gabriele Oligeri
Simone Raponi
Savio Sciancalepore
Roberto Di Pietro
82
79
0
12 Oct 2020
Generating Gameplay-Relevant Art Assets with Transfer Learning
Generating Gameplay-Relevant Art Assets with Transfer Learning
Adrián González-Casillas
Matthew J. Guzdial
Félix Ramos
43
9
0
04 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
150
806
0
24 Sep 2020
A Variational Auto-Encoder for Reservoir Monitoring
A Variational Auto-Encoder for Reservoir Monitoring
K. Gundersen
S. Hosseini
A. Oleynik
G. Alendal
8
1
0
23 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
197
80
0
17 Sep 2020
That looks interesting! Personalizing Communication and Segmentation
  with Random Forest Node Embeddings
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings
Weiwei Wang
Wiebke Eberhardt
Stefano Bromuri
114
1
0
13 Sep 2020
MeLIME: Meaningful Local Explanation for Machine Learning Models
MeLIME: Meaningful Local Explanation for Machine Learning Models
T. Botari
Frederik Hvilshoj
Rafael Izbicki
A. Carvalho
AAMLFAtt
75
16
0
12 Sep 2020
Stabilizing Invertible Neural Networks Using Mixture Models
Stabilizing Invertible Neural Networks Using Mixture Models
Paul Hagemann
Sebastian Neumayer
53
39
0
07 Sep 2020
Deep Learning for the Analysis of Disruption Precursors based on Plasma
  Tomography
Deep Learning for the Analysis of Disruption Precursors based on Plasma Tomography
D. R. Ferreira
P. Carvalho
C. Sozzi
P. Lomas
JET Contributors
13
7
0
06 Sep 2020
Looking for change? Roll the Dice and demand Attention
Looking for change? Roll the Dice and demand Attention
F. Diakogiannis
F. Waldner
P. Caccetta
121
68
0
04 Sep 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting
DCTRGAN: Improving the Precision of Generative Models with Reweighting
S. Diefenbacher
E. Eren
Gregor Kasieczka
A. Korol
Benjamin Nachman
David Shih
78
44
0
03 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
143
222
0
28 Aug 2020
Generative chemistry: drug discovery with deep learning generative
  models
Generative chemistry: drug discovery with deep learning generative models
Yuemin Bian
X. Xie
AI4CE
128
97
0
20 Aug 2020
Bayesian neural networks and dimensionality reduction
Bayesian neural networks and dimensionality reduction
Deborshee Sen
Theodore Papamarkou
David B. Dunson
BDL
61
5
0
18 Aug 2020
GANplifying Event Samples
GANplifying Event Samples
A. Butter
S. Diefenbacher
Gregor Kasieczka
Benjamin Nachman
Tilman Plehn
GAN
78
73
0
14 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a
  Survey
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat
W. Kosters
Mike Preuss
BDLOffRL
111
17
0
11 Aug 2020
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer
  Histology Images
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
Srijay Deshpande
F. Minhas
S. Graham
Nasir M. Rajpoot
MedIm
46
8
0
11 Aug 2020
Diversifying Task-oriented Dialogue Response Generation with Prototype
  Guided Paraphrasing
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
Phillip Lippe
Pengjie Ren
H. Haned
B. Voorn
Maarten de Rijke
38
11
0
07 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
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
102
164
0
06 Aug 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
Learning Structured Latent Factors from Dependent Data:A Generative
  Model Framework from Information-Theoretic Perspective
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang
Masanori Koyama
Katsuhiko Ishiguro
CML
58
6
0
21 Jul 2020
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and
  Uncertainty Quantification from Limited Observations
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations
K. Gundersen
A. Oleynik
N. Blaser
G. Alendal
BDL
73
29
0
19 Jul 2020
Deep Learning in Protein Structural Modeling and Design
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao
S. Mahajan
Jeremias Sulam
Jeffrey J. Gray
89
161
0
16 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OODBDLUQCV
95
635
0
14 Jul 2020
Fisher Auto-Encoders
Fisher Auto-Encoders
Khalil Elkhalil
Ali Hasan
Jie Ding
Sina Farsiu
Vahid Tarokh
36
9
0
12 Jul 2020
Estimating Stochastic Poisson Intensities Using Deep Latent Models
Estimating Stochastic Poisson Intensities Using Deep Latent Models
Ruixin Wang
Prateek Jaiswal
Harsha Honnappa
8
7
0
12 Jul 2020
Self-Reflective Variational Autoencoder
Self-Reflective Variational Autoencoder
Ifigeneia Apostolopoulou
Elan Rosenfeld
A. Dubrawski
OODBDLDRL
52
0
0
10 Jul 2020
Point Set Voting for Partial Point Cloud Analysis
Point Set Voting for Partial Point Cloud Analysis
Junming Zhang
Weijia Chen
Yuping Wang
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
72
34
0
09 Jul 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Didrik Nielsen
P. Jaini
Emiel Hoogeboom
Ole Winther
Max Welling
TPMBDLDRL
84
92
0
06 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
97
40
0
01 Jul 2020
Diffusion-Weighted Magnetic Resonance Brain Images Generation with
  Generative Adversarial Networks and Variational Autoencoders: A Comparison
  Study
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study
Alejandro Ungría Hirte
Moritz Platscher
T. Joyce
J. Heit
E. Tranvinh
C. Federau
MedImDiffM
24
6
0
24 Jun 2020
Locally Masked Convolution for Autoregressive Models
Locally Masked Convolution for Autoregressive Models
Ajay Jain
Pieter Abbeel
Deepak Pathak
DiffMOffRL
120
32
0
22 Jun 2020
A Data-driven Market Simulator for Small Data Environments
A Data-driven Market Simulator for Small Data Environments
Hans Bühler
Blanka Horvath
Terry Lyons
Imanol Perez Arribas
Ben Wood
90
67
0
21 Jun 2020
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