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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
Image Embedding for Denoising Generative Models
Image Embedding for Denoising Generative Models
Andrea Asperti
David Evangelista
Samuele Marro
Fabio Merizzi
DiffM
70
10
0
30 Dec 2022
Normalizing flow neural networks by JKO scheme
Normalizing flow neural networks by JKO scheme
Chen Xu
Xiuyuan Cheng
Yao Xie
107
30
0
29 Dec 2022
DGNet: Distribution Guided Efficient Learning for Oil Spill Image
  Segmentation
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation
Fang Chen
H. Balzter
Feixiang Zhou
Pengxin Ren
Huiyu Zhou
42
14
0
19 Dec 2022
Latent Variable Representation for Reinforcement Learning
Latent Variable Representation for Reinforcement Learning
Zhaolin Ren
Chenjun Xiao
Tianjun Zhang
Na Li
Zhaoran Wang
Sujay Sanghavi
Dale Schuurmans
Bo Dai
OffRL
104
10
0
17 Dec 2022
Output-Dependent Gaussian Process State-Space Model
Output-Dependent Gaussian Process State-Space Model
Zhidi Lin
Lei Cheng
Feng Yin
Le Xu
Shuguang Cui
UQCV
87
5
0
15 Dec 2022
A Machine Learning Enhanced Approach for Automated Sunquake Detection in
  Acoustic Emission Maps
A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps
Vanessa Mercea
A. Paraschiv
D. Lacatus
A. Marginean
D. Besliu-Ionescu
114
5
0
13 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using
  Diffusion
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang
Bo Zhang
Ting Zhang
Shuyang Gu
Jianmin Bao
...
Jingjing Shen
Dong Chen
Fang Wen
Qifeng Chen
B. Guo
138
288
0
12 Dec 2022
A probabilistic autoencoder for causal discovery
A probabilistic autoencoder for causal discovery
M. Feiler
CML
20
0
0
08 Dec 2022
Testing Human Ability To Detect Deepfake Images of Human Faces
Testing Human Ability To Detect Deepfake Images of Human Faces
Sergi D. Bray
Shane D. Johnson
Bennett Kleinberg
CVBM
107
48
0
07 Dec 2022
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics
Peter Kowalczyk
Giacomo Welsch
Frédéric Thiesse
68
2
0
05 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data
  Privacy
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
Ngoc Duy Pham
Tran Dang Khoa Phan
A. Abuadbba
Yansong Gao
Doan Nguyen
Naveen Chilamkurti
65
5
0
01 Dec 2022
Causal Inference with Conditional Instruments using Deep Generative
  Models
Causal Inference with Conditional Instruments using Deep Generative Models
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
T. Le
CML
60
11
0
29 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
171
48
0
25 Nov 2022
Robustness Analysis of Deep Learning Models for Population Synthesis
Robustness Analysis of Deep Learning Models for Population Synthesis
D. Mensah
Godwin Badu-Marfo
Bilal Farooq
68
1
0
23 Nov 2022
OLGA : An Ontology and LSTM-based approach for generating Arithmetic
  Word Problems (AWPs) of transfer type
OLGA : An Ontology and LSTM-based approach for generating Arithmetic Word Problems (AWPs) of transfer type
Suresh Kumar
P. Sreenivasa Kumar
47
1
0
22 Nov 2022
Representational dissimilarity metric spaces for stochastic neural
  networks
Representational dissimilarity metric spaces for stochastic neural networks
Lyndon Duong
Jingyang Zhou
Josue Nassar
Jules Berman
Jeroen Olieslagers
Alex H. Williams
79
22
0
21 Nov 2022
Let Offline RL Flow: Training Conservative Agents in the Latent Space of
  Normalizing Flows
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
D. Akimov
Vladislav Kurenkov
Alexander Nikulin
Denis Tarasov
Sergey Kolesnikov
OffRL
86
11
0
20 Nov 2022
EDGE: Editable Dance Generation From Music
EDGE: Editable Dance Generation From Music
Jo-Han Tseng
Rodrigo Castellon
Chenxi Liu
111
242
0
19 Nov 2022
Latent User Intent Modeling for Sequential Recommenders
Latent User Intent Modeling for Sequential Recommenders
B. Chang
Alexandros Karatzoglou
Yuyan Wang
Can Xu
Ed H. Chi
Minmin Chen
OffRL
45
10
0
17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
90
15
0
17 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward
  Functions
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal
M. Teichmann
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
90
2
0
15 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CMLBDL
121
11
0
07 Nov 2022
Variational Inference Aided Estimation of Time Varying Channels
Variational Inference Aided Estimation of Time Varying Channels
Benedikt Bock
Michael Baur
Valentina Rizzello
Wolfgang Utschick
43
6
0
31 Oct 2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active
  Learning
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning
Kevin Miller
Jeff Calder
74
6
0
27 Oct 2022
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks
Reda Bellafqira
Gouenou Coatrieux
102
6
0
27 Oct 2022
Multi-level Data Representation For Training Deep Helmholtz Machines
Multi-level Data Representation For Training Deep Helmholtz Machines
J. M. Ramos
Luis Sa-Couto
Andreas Wichert
59
0
0
26 Oct 2022
On the failure of variational score matching for VAE models
On the failure of variational score matching for VAE models
W. K. Li
DRL
47
2
0
24 Oct 2022
Deep Learning in Single-Cell Analysis
Deep Learning in Single-Cell Analysis
Dylan Molho
Jiayuan Ding
Zhaoheng Li
Haifang Wen
Wenzhuo Tang
...
P. Danaher
Robert Yang
Y. Lei
Yuying Xie
Jiliang Tang
108
23
0
22 Oct 2022
Sample Efficient Robot Learning with Structured World Models
Sample Efficient Robot Learning with Structured World Models
T. Akbulut
Max Merlin
Shane Parr
Benedict Quartey
Skye Thompson
44
0
0
21 Oct 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental
  Parameters with Machine Learning
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning
Matthew C. Dirks
David Poole
33
5
0
21 Oct 2022
Solving Reasoning Tasks with a Slot Transformer
Solving Reasoning Tasks with a Slot Transformer
Ryan Faulkner
Daniel Zoran
LRM
56
1
0
20 Oct 2022
Representation Learning with Diffusion Models
Representation Learning with Diffusion Models
Jeremias Traub
DiffM
97
8
0
20 Oct 2022
Language Does More Than Describe: On The Lack Of Figurative Speech in
  Text-To-Image Models
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models
Ricardo Kleinlein
Cristina Luna Jiménez
Fernando Fernández-Martínez
DiffM
49
3
0
19 Oct 2022
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Axel Levy
Gordon Wetzstein
Julien N. P. Martel
Frédéric Poitevin
Ellen D. Zhong
78
38
0
13 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized
  Simulation-Based Inference
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference
R. Khabibullin
S. Seleznev
59
1
0
13 Oct 2022
Microscopy is All You Need
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
76
0
0
12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation
Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
189
506
0
12 Oct 2022
Auto-Encoding Goodness of Fit
Auto-Encoding Goodness of Fit
A. Palmer
Zhiyi Chi
Derek Aguiar
J. Bi
119
1
0
12 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data
  Analysis: A Review
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review
M. Brendel
Chang Su
Zilong Bai
Hao Zhang
O. Elemento
Fei Wang
90
43
0
11 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and
  Generative
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Tianxin Wei
Yuning You
Tianlong Chen
Yang Shen
Jingrui He
Zhangyang Wang
72
50
0
07 Oct 2022
A deep learning approach for detection and localization of leaf
  anomalies
A deep learning approach for detection and localization of leaf anomalies
David M. Calabro
Massimiliano Lupo Pasini
Nicola Ferro
S. Perotto
39
1
0
07 Oct 2022
Probabilistic partition of unity networks for high-dimensional
  regression problems
Probabilistic partition of unity networks for high-dimensional regression problems
Tiffany Fan
N. Trask
M. DÉlia
Eric F. Darve
63
1
0
06 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and
  Future Prospects from an AI Perspective
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Peter Baumgartner
Daniel V. Smith
Mashud Rana
Reena Kapoor
Elena Tartaglia
A. Schutt
Ashfaqur Rahman
John Taylor
S. Dunstall
71
4
0
04 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between
  Manifolds
Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Michael Puthawala
Matti Lassas
Ivan Dokmanić
Pekka Pankka
Maarten V. de Hoop
MedIm
70
0
0
02 Oct 2022
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational)
  Autoencoder in Fourier Space
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space
Gian Marco Visani
Michael N. Pun
Arman Angaji
Armita Nourmohammad
BDL
50
3
0
30 Sep 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture
  Components in Variational Autoencoders
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
Oskar Kviman
Ricky Molén
A. Hotti
Semih Kurt
Victor Elvira
J. Lagergren
73
11
0
30 Sep 2022
Leveraging variational autoencoders for multiple data imputation
Leveraging variational autoencoders for multiple data imputation
Breeshey Roskams-Hieter
J. Wells
S. Wade
DRL
54
5
0
30 Sep 2022
Digital and Physical Face Attacks: Reviewing and One Step Further
Digital and Physical Face Attacks: Reviewing and One Step Further
Chen Kong
Shiqi Wang
Haoliang Li
AAML
135
26
0
29 Sep 2022
Automated Urban Planning aware Spatial Hierarchies and Human Instructions
Dongjie Wang
Kunpeng Liu
Yanyong Huang
Leilei Sun
Bowen Du
Yanjie Fu
AI4CE
67
3
0
26 Sep 2022
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector
  Quantization (MGBVQ)
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ)
Yifan Wang
Zhanxuan Mei
Ioannis Katsavounidis
C.-C. Jay Kuo
MQ
107
1
0
25 Sep 2022
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