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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
An artificial neural network-based system for detecting machine failures
  using tiny sound data: A case study
An artificial neural network-based system for detecting machine failures using tiny sound data: A case study
Thanh Tran
S. Bader
J. Lundgren
115
1
0
23 Sep 2022
Approximate sampling and estimation of partition functions using neural
  networks
Approximate sampling and estimation of partition functions using neural networks
George T. Cantwell
BDLDRL
47
1
0
21 Sep 2022
Efficient Unsupervised Learning for Plankton Images
Efficient Unsupervised Learning for Plankton Images
P. D. Alfano
Marco Rando
Marco Letizia
Francesca Odone
Lorenzo Rosasco
Vito Paolo Pastore
65
8
0
14 Sep 2022
Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints
  for Increased User Coverage
Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage
M. Charity
Nasir Memon
Zehua Jiang
Abhi Sen
Julian Togelius
41
4
0
11 Sep 2022
Variational Autoencoder Kernel Interpretation and Selection for
  Classification
Variational Autoencoder Kernel Interpretation and Selection for Classification
Fábio Mendonça
S. Mostafa
F. M. Dias
A. Ravelo-García
DRL
41
0
0
10 Sep 2022
Generating Contextual Load Profiles Using a Conditional Variational
  Autoencoder
Generating Contextual Load Profiles Using a Conditional Variational Autoencoder
Chenguang Wang
Simon Tindemans
Peter Palensky
67
8
0
08 Sep 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
324
239
0
06 Sep 2022
From latent dynamics to meaningful representations
From latent dynamics to meaningful representations
Dedi Wang
Yihang Wang
Luke J. Evans
P. Tiwary
AI4CE
92
10
0
02 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffMMedIm
488
1,425
0
02 Sep 2022
Learning Binary and Sparse Permutation-Invariant Representations for
  Fast and Memory Efficient Whole Slide Image Search
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search
S. Hemati
Shivam Kalra
Morteza Babaie
H. R. Tizhoosh
58
11
0
29 Aug 2022
A deep learning framework for geodesics under spherical
  Wasserstein-Fisher-Rao metric and its application for weighted sample
  generation
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation
Yang Jing
Jia-hua Chen
Lei Li
Jianfeng Lu
76
1
0
25 Aug 2022
Adversarial Bayesian Simulation
Adversarial Bayesian Simulation
YueXing Wang
Veronika Rovcková
GANBDL
100
5
0
25 Aug 2022
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in
  Generative Modeling
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling
Ki-Ung Song
DiffM
54
8
0
15 Aug 2022
Deception for Cyber Defence: Challenges and Opportunities
Deception for Cyber Defence: Challenges and Opportunities
David Liebowitz
Surya Nepal
Kristen Moore
Cody James Christopher
S. Kanhere
David D. Nguyen
Roelien C. Timmer
Michael Longland
Keerth Rathakumar
75
10
0
15 Aug 2022
A biology-driven deep generative model for cell-type annotation in
  cytometry
A biology-driven deep generative model for cell-type annotation in cytometry
Quentin Blampey
N. Bercovici
C. Dutertre
I. Pic
F. André
J. M. Ribeiro
P. Cournède
52
3
0
11 Aug 2022
Semi-Supervised Junction Tree Variational Autoencoder for Molecular
  Property Prediction
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction
Atia Hamidizadeh
Tony Shen
Martin Ester
DRL
128
0
0
10 Aug 2022
Fully probabilistic deep models for forward and inverse problems in
  parametric PDEs
Fully probabilistic deep models for forward and inverse problems in parametric PDEs
Arnaud Vadeboncoeur
Ömer Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
F. Cirak
AI4CE
72
18
0
09 Aug 2022
Interpretable Disentangled Parametrization of Measured BRDF with
  $β$-VAE
Interpretable Disentangled Parametrization of Measured BRDF with βββ-VAE
A. Benamira
Sachin Shah
S. Pattanaik
58
3
0
08 Aug 2022
Training Process of Unsupervised Learning Architecture for Gravity Spy
  Dataset
Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset
Yusuke Sakai
Y. Itoh
P. Jung
K. Kokeyama
C. Kozakai
...
T. Uchiyama
G. Ueshima
T. Washimi
Takahiro Yamamoto
T. Yokozawa
17
3
0
07 Aug 2022
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs
Severin Reiz
T. Neckel
H. Bungartz
ODL
67
1
0
03 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis
A Deep Generative Model for Feasible and Diverse Population Synthesis
Eui-Jin Kim
P. Bansal
62
15
0
01 Aug 2022
Generalized Probabilistic U-Net for medical image segementation
Generalized Probabilistic U-Net for medical image segementation
Ishaan Bhat
J. Pluim
Hugo J. Kuijf
OOD
55
9
0
26 Jul 2022
Intention-Conditioned Long-Term Human Egocentric Action Forecasting
Intention-Conditioned Long-Term Human Egocentric Action Forecasting
Esteve Valls Mascaro
Hyemin Ahn
Dongheui Lee
EgoV
113
31
0
25 Jul 2022
Variational Temporal Deconfounder for Individualized Treatment Effect
  Estimation from Longitudinal Observational Data
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data
Zheng Feng
M. Prosperi
Jiang Bian
CML
47
0
0
23 Jul 2022
Statistical Hypothesis Testing Based on Machine Learning: Large
  Deviations Analysis
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
P. Braca
L. Millefiori
A. Aubry
S. Maranò
A. De Maio
P. Willett
79
12
0
22 Jul 2022
Cancer Subtyping by Improved Transcriptomic Features Using Vector
  Quantized Variational Autoencoder
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder
Zheng Chen
Ziwei Yang
Lingwei Zhu
Guang Shi
Kun Yue
Takashi Matsubara
Shigehiko Kanaya
M. Altaf-Ul-Amin
DRL
102
5
0
20 Jul 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Sachit Menon
David M. Blei
Carl Vondrick
DRL
94
6
0
19 Jul 2022
A coherence parameter characterizing generative compressed sensing with
  Fourier measurements
A coherence parameter characterizing generative compressed sensing with Fourier measurements
Aaron Berk
Simone Brugiapaglia
Babhru Joshi
Y. Plan
Matthew Scott
Özgür Yilmaz
97
7
0
19 Jul 2022
Deeply-Learned Generalized Linear Models with Missing Data
Deeply-Learned Generalized Linear Models with Missing Data
David K. Lim
N. Rashid
Junier B Oliva
J. Ibrahim
AI4CE
35
1
0
18 Jul 2022
Comparing the latent space of generative models
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
76
13
0
14 Jul 2022
Conditional Energy-Based Models for Implicit Policies: The Gap between
  Theory and Practice
Conditional Energy-Based Models for Implicit Policies: The Gap between Theory and Practice
Duy-Nguyen Ta
Eric A. Cousineau
Huihua Zhao
Siyuan Feng
54
4
0
12 Jul 2022
Deep Learning Approaches to Grasp Synthesis: A Review
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury
Morris Gu
Lachlan Chumbley
Arsalan Mousavian
Clemens Eppner
...
A. Morales
Tamim Asfour
Danica Kragic
Dieter Fox
Akansel Cosgun
148
171
0
06 Jul 2022
Cooperative Distribution Alignment via JSD Upper Bound
Cooperative Distribution Alignment via JSD Upper Bound
Wonwoong Cho
Ziyu Gong
David I. Inouye
28
4
0
05 Jul 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Avinash Kori
Ben Glocker
Francesca Toni
63
6
0
05 Jul 2022
Discrete Tree Flows via Tree-Structured Permutations
Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady
Jim Lim
David I. Inouye
TPM
66
2
0
04 Jul 2022
Coin Flipping Neural Networks
Coin Flipping Neural Networks
Yuval Sieradzki
Nitzan Hodos
Gal Yehuda
Assaf Schuster
UQCV
85
3
0
18 Jun 2022
Training Discrete Deep Generative Models via Gapped Straight-Through
  Estimator
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan
Ta-Chung Chi
Alexander I. Rudnicky
Peter J. Ramadge
BDL
65
7
0
15 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning
  Tasks
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh
Yuchen Zeng
Ruisu Zhang
Ziqian Lin
Michael Gira
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
LMTD
176
139
0
14 Jun 2022
Machine Learning-Driven Process of Alumina Ceramics Laser Machining
Machine Learning-Driven Process of Alumina Ceramics Laser Machining
R. Behbahani
H. Sarvestani
E. Fatehi
Elham Kiyani
B. Ashrafi
M. Karttunen
M. Rahmat
AI4CE
28
18
0
13 Jun 2022
Convergence for score-based generative modeling with polynomial
  complexity
Convergence for score-based generative modeling with polynomial complexity
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
80
140
0
13 Jun 2022
Hierarchical mixtures of Gaussians for combined dimensionality reduction
  and clustering
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering
Sacha Sokoloski
Philipp Berens
19
0
0
10 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
98
85
0
07 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger
Luigi Gresele
Jack Brady
Julius von Kügelgen
Dominik Zietlow
Bernhard Schölkopf
Georg Martius
Wieland Brendel
M. Besserve
DRL
101
21
0
06 Jun 2022
Invertible Neural Networks for Graph Prediction
Invertible Neural Networks for Graph Prediction
Chen Xu
Xiuyuan Cheng
Yao Xie
GNN
83
10
0
02 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical
  Variational Autoencoder
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder
F. Csikor
B. Meszéna
Bence Szabó
Gergő Orbán
BDLDRL
98
5
0
01 Jun 2022
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series
  Forecasting
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
Kashif Rasul
Young-Jin Park
Max Nihlén Ramström
KyungHyun Kim
BDLAI4TS
42
4
0
31 May 2022
A novel approach to rating transition modelling via Machine Learning and
  SDEs on Lie groups
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups
Kevin Kamm
M. Muniz
43
3
0
31 May 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato
Andrea Passerini
Stefano Teso
191
69
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
231
51
0
30 May 2022
Anchor Prediction: A Topic Modeling Approach
Anchor Prediction: A Topic Modeling Approach
Jean Dupuy
Adrien Guille
Julien Jacques
KELM
32
2
0
29 May 2022
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