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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
Validating Causal Inference Methods
Validating Causal Inference Methods
Harsh Parikh
Carlos Varjao
Louise Xu
E. T. Tchetgen
CML
87
21
0
09 Feb 2022
Algorithms that get old : the case of generative deep neural networks
Algorithms that get old : the case of generative deep neural networks
G. Turinici
OODGAN
16
0
0
07 Feb 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in
  Medical Imaging AI
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI
Arjun Soin
J. Merkow
Jin Long
Joseph Paul Cohen
Smitha Saligrama
Stephen Kaiser
Steven Borg
Ivan Tarapov
M. Lungren
OOD
99
17
0
06 Feb 2022
Enhancing variational generation through self-decomposition
Enhancing variational generation through self-decomposition
Andrea Asperti
Laura Bugo
Daniele Filippini
DRL
97
2
0
06 Feb 2022
Robust Vector Quantized-Variational Autoencoder
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
DRL
119
6
0
04 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
177
48
0
01 Feb 2022
A heteroencoder architecture for prediction of failure locations in
  porous metals using variational inference
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference
Wyatt Bridgman
Xiaoxuan Zhang
G. Teichert
M. Khalil
K. Garikipati
Reese E. Jones
UQCVAI4CE
72
5
0
31 Jan 2022
Variational Autoencoder based Metamodeling for Multi-Objective Topology
  Optimization of Electrical Machines
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines
Vivek Parekh
D. Flore
S. Schöps
AI4CE
24
12
0
21 Jan 2022
Simpler is better: spectral regularization and up-sampling techniques
  for variational autoencoders
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders
Sara Bjork
Jonas Nordhaug Myhre
T. Johansen
DRL
77
6
0
19 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational
  Embedding Learning Framework
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
Xiaoxiao Xu
Chen Yang
Qian Yu
Zhiwei Fang
Jiaxing Wang
Chaosheng Fan
Yang He
Changping Peng
Zhangang Lin
Jingping Shao
CML
49
28
0
17 Jan 2022
Improved Input Reprogramming for GAN Conditioning
Improved Input Reprogramming for GAN Conditioning
Tuan Dinh
Daewon Seo
Zhixu Du
Liang Shang
Kangwook Lee
AI4CE
103
8
0
07 Jan 2022
GenLabel: Mixup Relabeling using Generative Models
GenLabel: Mixup Relabeling using Generative Models
Jy-yong Sohn
Liang Shang
Hongxu Chen
Jaekyun Moon
Dimitris Papailiopoulos
Kangwook Lee
VLM
93
15
0
07 Jan 2022
An Evaluation Study of Generative Adversarial Networks for Collaborative
  Filtering
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering
F. B. P. Maurera
Maurizio Ferrari Dacrema
Paolo Cremonesi
103
2
0
05 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal
  Derivatives
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Hideyuki Tachibana
Mocho Go
Muneyoshi Inahara
Yotaro Katayama
Yotaro Watanabe
DiffM
78
3
0
26 Dec 2021
Integrating Material Selection with Design Optimization via Neural
  Networks
Integrating Material Selection with Design Optimization via Neural Networks
A. Chandrasekhar
S. Sridhara
K. Suresh
AI4CE
49
6
0
23 Dec 2021
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
90
117
0
07 Dec 2021
Collective variable discovery in the age of machine learning: reality,
  hype and everything in between
Collective variable discovery in the age of machine learning: reality, hype and everything in between
S. Bhakat
AI4CE
67
26
0
06 Dec 2021
Face Reconstruction with Variational Autoencoder and Face Masks
Face Reconstruction with Variational Autoencoder and Face Masks
Rafael S. Toledo
Eric A. Antonelo
CVBM3DH
22
3
0
03 Dec 2021
Machine learning Hadron Spectral Functions in Lattice QCD
Machine learning Hadron Spectral Functions in Lattice QCD
Shiyang Chen
H. Ding
Feiyang Liu
G. Papp
Chunbin Yang
25
2
0
01 Dec 2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with
  Semi-Supervised Learning and Explicit Policy Injection
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Wanwei He
Yinpei Dai
Yinhe Zheng
Yuchuan Wu
Zhen Cao
...
Min Yang
Feiling Huang
Luo Si
Jian Sun
Yongbin Li
VLM
140
159
0
29 Nov 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive
  Models with Dependent Mixed Features
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDIFAtt
109
17
0
26 Nov 2021
Towards Cross-Cultural Analysis using Music Information Dynamics
Towards Cross-Cultural Analysis using Music Information Dynamics
Shlomo Dubnov
Kevin Huang
Cheng-i Wang
56
1
0
24 Nov 2021
Generalized Normalizing Flows via Markov Chains
Generalized Normalizing Flows via Markov Chains
Paul Hagemann
J. Hertrich
Gabriele Steidl
BDLDiffMAI4CE
103
25
0
24 Nov 2021
Variational encoder geostatistical analysis (VEGAS) with an application
  to large scale riverine bathymetry
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
M. Forghani
Yizhou Qian
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
53
8
0
23 Nov 2021
Deep learning-based fast solver of the shallow water equations
Deep learning-based fast solver of the shallow water equations
M. Forghani
Yizhou Qian
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
29
2
0
23 Nov 2021
Bootstrap Your Flow
Bootstrap Your Flow
Laurence Illing Midgley
Vincent Stimper
G. Simm
José Miguel Hernández-Lobato
73
5
0
22 Nov 2021
Unsupervised Learning Architecture for Classifying the Transient Noise
  of Interferometric Gravitational-wave Detectors
Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave Detectors
Yusuke Sakai
Y. Itoh
P. Jung
K. Kokeyama
C. Kozakai
...
T. Uchiyama
G. Ueshima
T. Washimi
Takahiro Yamamoto
T. Yokozawa
66
12
0
19 Nov 2021
CSI Clustering with Variational Autoencoding
CSI Clustering with Variational Autoencoding
Michael Baur
M. Würth
M. Koller
V. Andrei
Wolfgang Utschick
DRL
57
2
0
18 Nov 2021
A Vertical Federated Learning Method For Multi-Institutional Credit
  Scoring: MICS
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
66
5
0
17 Nov 2021
Exploring Story Generation with Multi-task Objectives in Variational
  Autoencoders
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders
Zhuohan Xie
Trevor Cohn
Jey Han Lau
DRL
52
6
0
15 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics
  learning
Physics-informed neural networks via stochastic Hamiltonian dynamics learning
Minh Nguyen
Chandrajit Bajaj
40
1
0
15 Nov 2021
ELBD: Efficient score algorithm for feature selection on latent
  variables of VAE
ELBD: Efficient score algorithm for feature selection on latent variables of VAE
Yiran Dong
Chuanhou Gao
25
1
0
15 Nov 2021
Inverting brain grey matter models with likelihood-free inference: a
  tool for trustable cytoarchitecture measurements
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements
Maëliss Jallais
Pedro L. C. Rodrigues
Alexandre Gramfort
Demian Wassermann
124
11
0
15 Nov 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni
Benjamin Nachman
David Shih
72
35
0
11 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized
  variational autoencoder model based on transfer learning for multiclass text
  classification and generation
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
Shivani Malhotra
Vinay Kumar
A. K. Agarwal
DRL
29
0
0
10 Nov 2021
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep
  Neural Networks
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks
Anshujit Sharma
Rahul Kukreja
Ranjitha Prasad
Shilpa Rao
CML
27
0
0
02 Nov 2021
Multivariate rank via entropic optimal transport: sample efficiency and
  generative modeling
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling
Shoaib Bin Masud
Matthew Werenski
James M. Murphy
Shuchin Aeron
OT
59
9
0
29 Oct 2021
Probabilistic Autoencoder using Fisher Information
Probabilistic Autoencoder using Fisher Information
J. Zacherl
Philipp Frank
T. Ensslin
EgoVAI4CE
52
2
0
28 Oct 2021
Machine learning spectral functions in lattice QCD
Machine learning spectral functions in lattice QCD
S.-Y. Chen
H. Ding
Feng Liu
G. Papp
C.-B. Yang
44
20
0
26 Oct 2021
Discrete Acoustic Space for an Efficient Sampling in Neural
  Text-To-Speech
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech
Mu Li
Jonas Rohnke
Antonio Bonafonte
Mateusz Lajszczak
Trevor Wood
DRL
92
2
0
24 Oct 2021
Generative Networks for Precision Enthusiasts
Generative Networks for Precision Enthusiasts
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
82
60
0
22 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction
Conditional Variational Autoencoder for Learned Image Reconstruction
Chen Zhang
Riccardo Barbano
Bangti Jin
DRL
51
20
0
22 Oct 2021
MUGL: Large Scale Multi Person Conditional Action Generation with
  Locomotion
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion
Shubh Maheshwari
Debtanu Gupta
Ravi Kiran Sarvadevabhatla
113
20
0
21 Oct 2021
Generating Multivariate Load States Using a Conditional Variational
  Autoencoder
Generating Multivariate Load States Using a Conditional Variational Autoencoder
Chenguang Wang
Ensieh Sharifnia
Zhi Gao
Simon Tindemans
Peter Palensky
48
26
0
21 Oct 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
Amin Heyrani Nobari
Faez Ahmed
3DVAI4CE
136
192
0
21 Oct 2021
Tackling Dynamics in Federated Incremental Learning with Variational
  Embedding Rehearsal
Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
Tae Jin Park
K. Kumatani
Dimitrios Dimitriadis
38
18
0
19 Oct 2021
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical
  Systems with Uncertainty
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty
Wei Liu
Zhilu Lai
Kiran Bacsa
Eleni Chatzi
PINNBDLAI4CE
67
33
0
16 Oct 2021
Simultaneous Missing Value Imputation and Structure Learning with Groups
Simultaneous Missing Value Imputation and Structure Learning with Groups
Pablo Morales-Álvarez
Wenbo Gong
A. Lamb
Simon Woodhead
Simon L. Peyton Jones
Nick Pawlowski
Miltiadis Allamanis
Cheng Zhang
140
18
0
15 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics
Challenges for Unsupervised Anomaly Detection in Particle Physics
Katherine Fraser
S. Homiller
Rashmish K. Mishra
B. Ostdiek
M. Schwartz
DRL
71
45
0
13 Oct 2021
$β$-Intact-VAE: Identifying and Estimating Causal Effects under
  Limited Overlap
βββ-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
77
15
0
11 Oct 2021
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