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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
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLMAI4CE
129
43
0
06 Apr 2021
Nonlinear Model Based Guidance with Deep Learning Based Target
  Trajectory Prediction Against Aerial Agile Attack Patterns
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns
A. S. Satir
Umut Demir
Gulay Goktas Sever
N. K. Üre
25
4
0
06 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Interpretable Unsupervised Diversity Denoising and Artefact Removal
M. Prakash
M. Delbracio
P. Milanfar
Florian Jug
122
34
0
03 Apr 2021
Reconciling the Discrete-Continuous Divide: Towards a Mathematical
  Theory of Sparse Communication
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication
André F. T. Martins
72
1
0
01 Apr 2021
Learning Scalable $\ell_\infty$-constrained Near-lossless Image
  Compression via Joint Lossy Image and Residual Compression
Learning Scalable ℓ∞\ell_\inftyℓ∞​-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
Yuanchao Bai
Xianming Liu
W. Zuo
Yaowei Wang
Xiangyang Ji
MQ
62
26
0
31 Mar 2021
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
Alex Chang
Vinith Suriyakumar
Abhishek Moturu
James Tu
Nipaporn Tewattanarat
Sayali Joshi
A. Doria
Anna Goldenberg
MedIm
27
1
0
24 Mar 2021
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare
Yordanka Karayaneva
S. Sharifzadeh
Wenda Li
Yanguo Jing
Bo Tan
19
12
0
18 Mar 2021
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform
Achille Thin
Yazid Janati
Sylvain Le Corff
Charles Ollion
Arnaud Doucet
Alain Durmus
Eric Moulines
C. Robert
77
7
0
17 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image
  Modeling
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
DJordje Miladinović
Aleksandar Stanić
Stefan Bauer
Jürgen Schmidhuber
J. M. Buhmann
DRL
76
9
0
16 Mar 2021
Symmetry meets AI
Symmetry meets AI
G. Barenboim
J. Hirn
V. Sanz
65
22
0
10 Mar 2021
BIKED: A Dataset for Computational Bicycle Design with Machine Learning
  Benchmarks
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks
Lyle Regenwetter
Brent Curry
Faez Ahmed
131
38
0
10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
71
54
0
09 Mar 2021
An Introduction to Deep Generative Modeling
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
116
232
0
09 Mar 2021
Machine Learning Techniques to Construct Patched Analog Ensembles for
  Data Assimilation
Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation
L. Yang
Ian G. Grooms
34
18
0
27 Feb 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
110
138
0
27 Feb 2021
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake
  Detection using Dynamic Face Augmentation
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation
Sowmen Das
Selim S. Seferbekov
Arup Datta
Md. Saiful Islam
Md Ruhul Amin
CVBM
75
66
0
18 Feb 2021
Certifiably Robust Variational Autoencoders
Certifiably Robust Variational Autoencoders
Ben Barrett
A. Camuto
M. Willetts
Tom Rainforth
AAMLDRL
88
16
0
15 Feb 2021
Guided Variational Autoencoder for Speech Enhancement With a Supervised
  Classifier
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier
Guillaume Carbajal
Julius Richter
Timo Gerkmann
DRLSSL
50
17
0
12 Feb 2021
Deep learning approaches to surrogates for solving the diffusion
  equation for mechanistic real-world simulations
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations
J. Q. Toledo-Marín
Geoffrey C. Fox
J. Sluka
J. Glazier
MedImAI4CE
69
9
0
10 Feb 2021
In-game Residential Home Planning via Visual Context-aware Global
  Relation Learning
In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Lijuan Liu
Yin Yang
Yi Yuan
Tianjia Shao
He Wang
Kun Zhou
30
5
0
08 Feb 2021
Achieving Explainability for Plant Disease Classification with
  Disentangled Variational Autoencoders
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
Harshana Habaragamuwa
Y. Oishi
Kenichi Tanaka
100
9
0
05 Feb 2021
Hierarchical Variational Autoencoder for Visual Counterfactuals
Hierarchical Variational Autoencoder for Visual Counterfactuals
Nicolas Vercheval
A. Pižurica
CMLDRLBDL
87
2
0
01 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic
  Time Series Forecasting
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
DiffM
173
320
0
28 Jan 2021
Semi-supervised source localization in reverberant environments with
  deep generative modeling
Semi-supervised source localization in reverberant environments with deep generative modeling
Michael J. Bianco
Sharon Gannot
Efren Fernandez-Grande
Peter Gerstoft
66
21
0
26 Jan 2021
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of
  Electron Beams using Encoder-Decoder Neural Networks
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks
Jun Zhu
Ye Chen
F. Brinker
W. Decking
S. Tomin
H. Schlarb
AI4CE
47
25
0
25 Jan 2021
Knowledge Generation -- Variational Bayes on Knowledge Graphs
Knowledge Generation -- Variational Bayes on Knowledge Graphs
Florian Wolf
BDL
27
0
0
21 Jan 2021
Unsupervised Imputation of Non-ignorably Missing Data Using
  Importance-Weighted Autoencoders
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders
David K. Lim
N. Rashid
Junier B. Oliva
J. Ibrahim
38
3
0
18 Jan 2021
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
101
13
0
17 Jan 2021
Convex Smoothed Autoencoder-Optimal Transport model
Convex Smoothed Autoencoder-Optimal Transport model
Aratrika Mustafi
GANDRL
44
1
0
14 Jan 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems
  using Deep Neural Networks
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks
Shiwei Lan
Shuyi Li
Babak Shahbaba
UQCVBDL
86
16
0
11 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
105
3
0
04 Jan 2021
A Novel Resampling Technique for Imbalanced Dataset Optimization
A Novel Resampling Technique for Imbalanced Dataset Optimization
Ivan Letteri
Antonio Di Cecco
Abeer Dyoub
G. D. Penna
AI4TS
8
13
0
30 Dec 2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of
  Diverse Objects
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Xinlei Pan
Animesh Garg
Anima Anandkumar
Yuke Zhu
94
15
0
22 Dec 2020
Variational Transport: A Convergent Particle-BasedAlgorithm for
  Distributional Optimization
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
Zhuoran Yang
Yufeng Zhang
Yongxin Chen
Zhaoran Wang
OT
91
5
0
21 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations
Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi
Frederik K. Drachmann
Thomas Bolander
94
11
0
16 Dec 2020
Generative Deep Learning Techniques for Password Generation
Generative Deep Learning Techniques for Password Generation
D. Biesner
K. Cvejoski
B. Georgiev
R. Sifa
Erik Krupicka
42
5
0
10 Dec 2020
Solving Inverse Problems for Spectral Energy Distributions with Deep
  Generative Networks
Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks
Agapi Rissaki
Orestis Pavlou
Dimitris Fotakis
V. P. Lesta
A. Efstathiou
GAN
28
0
0
09 Dec 2020
Enhance Convolutional Neural Networks with Noise Incentive Block
Enhance Convolutional Neural Networks with Noise Incentive Block
Menghan Xia
Yi Wang
Chu Han
T. Wong
43
1
0
09 Dec 2020
Application of deep learning to large scale riverine flow velocity
  estimation
Application of deep learning to large scale riverine flow velocity estimation
M. Forghani
Yizhou Qian
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
51
21
0
04 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models
Generative Capacity of Probabilistic Protein Sequence Models
Francisco McGee
Quentin Novinger
R. Levy
Vincenzo Carnevale
A. Haldane
85
34
0
03 Dec 2020
Classification and reconstruction of optical quantum states with deep
  neural networks
Classification and reconstruction of optical quantum states with deep neural networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
88
64
0
03 Dec 2020
Recursive Tree Grammar Autoencoders
Recursive Tree Grammar Autoencoders
Benjamin Paassen
I. Koprinska
K. Yacef
52
8
0
03 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
111
28
0
03 Dec 2020
Intrusion Detection Systems for IoT: opportunities and challenges
  offered by Edge Computing and Machine Learning
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning
Pietro Spadaccino
F. Cuomo
43
19
0
02 Dec 2020
Deep dynamic modeling with just two time points: Can we still allow for
  individual trajectories?
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?
Maren Hackenberg
Philipp Harms
Michelle Pfaffenlehner
Astrid Pechmann
Janbernd Kirschner
Thorsten Schmidt
Harald Binder
45
4
0
01 Dec 2020
A Convenient Infinite Dimensional Framework for Generative Adversarial
  Learning
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning
H. Asatryan
Hanno Gottschalk
Marieke Lippert
Matthias Rottmann
GAN
143
10
0
24 Nov 2020
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary
  Raster Data
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data
Gerald Baier
Antonin Deschemps
M. Schmitt
Naoto Yokoya
GAN
79
37
0
23 Nov 2020
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking
L. Antsfeld
Boris Chidlovskii
Emilio Sansano-Sansano
42
7
0
21 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them
  on Images
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDLVLM
192
353
0
20 Nov 2020
FAIR: Fair Adversarial Instance Re-weighting
FAIR: Fair Adversarial Instance Re-weighting
Andrija Petrović
Mladen Nikolic
Sandro Radovanović
Boris Delibavsić
Milovs Jovanović
FaMLAAML
53
34
0
15 Nov 2020
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