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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
Geometric Autoencoders -- What You See is What You Decode
Geometric Autoencoders -- What You See is What You Decode
Philipp Nazari
Sebastian Damrich
Fred Hamprecht
92
13
0
30 Jun 2023
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
VLM
68
4
0
26 Jun 2023
A clustering and graph deep learning-based framework for COVID-19 drug
  repurposing
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Chaarvi Bansal
Rohitash Chandra
Vinti Agarwal
P. R. Deepa
OOD
53
0
0
24 Jun 2023
On the Convergence Rate of Gaussianization with Random Rotations
On the Convergence Rate of Gaussianization with Random Rotations
Felix Dräxler
Lars Kühmichel
Armand Rousselot
Jens Müller
Christoph Schnörr
Ullrich Kothe
65
3
0
23 Jun 2023
Exploring the Effectiveness of Dataset Synthesis: An application of
  Apple Detection in Orchards
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards
A. V. Meekeren
Maya Aghaei
K. Dijkstra
DiffM
60
1
0
20 Jun 2023
Identifiable causal inference with noisy treatment and no side
  information
Identifiable causal inference with noisy treatment and no side information
Antti Pöllänen
Pekka Marttinen
CML
31
2
0
18 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Yuxuan Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
229
117
0
16 Jun 2023
Fusing Structural and Functional Connectivities using Disentangled VAE
  for Detecting MCI
Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI
Qiankun Zuo
Yanfei Zhu
Libin Lu
Zhi Yang
Yuhui Li
Ning Zhang
89
2
0
16 Jun 2023
Deep learning based Meta-modeling for Multi-objective Technology
  Optimization of Electrical Machines
Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
Vivek Parekh
D. Flore
S. Schöps
13
5
0
15 Jun 2023
Tree Variational Autoencoders
Tree Variational Autoencoders
Laura Manduchi
Moritz Vandenhirtz
Alain Ryser
Julia E. Vogt
BDLDRL
86
10
0
15 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete
  Representations
Unbiased Learning of Deep Generative Models with Structured Discrete Representations
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCLBDLDRL
58
1
0
14 Jun 2023
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online
  Reinforcement Learning
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
Siyuan Guo
Yanchao Sun
Jifeng Hu
Sili Huang
Hechang Chen
Haiyin Piao
Lichao Sun
Yi-Ju Chang
OffRLOnRL
83
7
0
13 Jun 2023
Latent Dynamical Implicit Diffusion Processes
Mohammadreza Rezaei
DiffM
113
1
0
12 Jun 2023
Image Vectorization: a Review
Image Vectorization: a Review
Maria Dziuba
Ivan Jarsky
Valeria Efimova
Andrey Filchenkov
3DVDiffM
64
10
0
10 Jun 2023
The Age of Synthetic Realities: Challenges and Opportunities
The Age of Synthetic Realities: Challenges and Opportunities
J. P. Cardenuto
Jing Yang
Rafael Padilha
Renjie Wan
Daniel Moreira
Haoliang Li
Shiqi Wang
Fernanda A. Andaló
Sébastien Marcel
Anderson de Rezende Rocha
DeLMO
115
30
0
09 Jun 2023
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion
Hao Liu
Tao Wang
Jie Cao
Ran He
J. Tao
DiffM
74
4
0
09 Jun 2023
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial
  Responses
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses
Takato Yasuno
Masahiro Okano
Junichiro Fujii
53
0
0
05 Jun 2023
Independent Modular Networks
Independent Modular Networks
H. Damirchi
Forest Agostinelli
Pooyan Jamshidi
41
0
0
02 Jun 2023
StyleGAN knows Normal, Depth, Albedo, and More
StyleGAN knows Normal, Depth, Albedo, and More
Anand Bhattad
Daniel McKee
Derek Hoiem
David A. Forsyth
GAN
67
36
0
01 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic
  Review
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Mathias Lundteigen Mohus
Jinyue Li
AAML
87
1
0
01 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the
  Potential of Privacy Computing, Blockchain, and Beyond
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen
Zhenpeng Wu
Yan-Hao Lai
Wen-chao Ou
Tianchi Liao
Zibin Zheng
136
36
0
01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality
Efficient Training of Energy-Based Models Using Jarzynski Equality
D. Carbone
Mengjian Hua
Simon Coste
Eric Vanden-Eijnden
58
7
0
30 May 2023
Conceptual Design Generation Using Large Language Models
Conceptual Design Generation Using Large Language Models
Kevin Ma
Daniele Grandi
Christopher McComb
K. Goucher-Lambert
116
24
0
30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of
  Likelihood-based Generative Models
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
128
4
0
30 May 2023
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Zeyue Xue
Guanglu Song
Qiushan Guo
Boxiao Liu
Zhuofan Zong
Yu Liu
Ping Luo
DiffM
173
137
0
29 May 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILawSyDaELMAI4TS
133
156
0
27 May 2023
Counterfactual Generative Models for Time-Varying Treatments
Counterfactual Generative Models for Time-Varying Treatments
Shenghao Wu
Wen-liang Zhou
Minshuo Chen
Shixiang Zhu
DiffMCML
107
8
0
25 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning
  World Models in Autonomous Driving Tasks
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks
Hemanth Manjunatha
A. Pak
Dimitar Filev
Panagiotis Tsiotras
77
5
0
24 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong
Zekai Fan
Shixiang Zhu
DiffM
115
4
0
21 May 2023
A One-Class Classifier for the Detection of GAN Manipulated
  Multi-Spectral Satellite Images
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
Lydia Abady
Giovanna Maria Dimitri
Mauro Barni
72
3
0
19 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time
  Series
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Alexander Nikitin
Letizia Iannucci
Samuel Kaski
TTASyDaAI4TS
110
14
0
19 May 2023
Massively Parallel Reweighted Wake-Sleep
Massively Parallel Reweighted Wake-Sleep
Thomas Heap
Gavin Leech
Laurence Aitchison
BDL
64
2
0
18 May 2023
Score Operator Newton transport
Score Operator Newton transport
N. Chandramoorthy
F. Schaefer
Youssef Marzouk
OT
83
1
0
16 May 2023
Conditional variational autoencoder with Gaussian process regression
  recognition for parametric models
Conditional variational autoencoder with Gaussian process regression recognition for parametric models
Xuehan Zhang
Lijian Jiang
BDLDRL
21
9
0
16 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values
  and When to Use Them
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
FAtt
90
12
0
16 May 2023
ELSA -- Enhanced latent spaces for improved collider simulations
ELSA -- Enhanced latent spaces for improved collider simulations
Benjamin Nachman
R. Winterhalder
67
14
0
12 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
148
30
0
10 May 2023
Multi-object Video Generation from Single Frame Layouts
Multi-object Video Generation from Single Frame Layouts
Yang Wu
Zhi-Bin Liu
Hefeng Wu
Liang Lin
140
3
0
06 May 2023
Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Tobias Bischoff
Katherine Deck
93
14
0
02 May 2023
A novel algorithm can generate data to train machine learning models in
  conditions of extreme scarcity of real world data
A novel algorithm can generate data to train machine learning models in conditions of extreme scarcity of real world data
O. Niel
SyDa
16
1
0
01 May 2023
Towards AI-Architecture Liberty: A Comprehensive Survey on Design and
  Generation of Virtual Architecture by Deep Learning
Towards AI-Architecture Liberty: A Comprehensive Survey on Design and Generation of Virtual Architecture by Deep Learning
Anqi Wang
Jiahua Dong
Lik-Hang Lee
Jiachuan Shen
Pan Hui
3DVAI4CE
97
1
0
30 Apr 2023
Effect of latent space distribution on the segmentation of images with
  multiple annotations
Effect of latent space distribution on the segmentation of images with multiple annotations
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
41
6
0
26 Apr 2023
Separability, Contextuality, and the Quantum Frame Problem
Separability, Contextuality, and the Quantum Frame Problem
C. Fields
J. Glazebrook
16
6
0
19 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information
  Theory: A Review
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz-Ziv
Yann LeCun
SSL
127
75
0
19 Apr 2023
Goal-oriented Uncertainty Quantification for Inverse Problems via
  Variational Encoder-Decoder Networks
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks
B. Afkham
Julianne Chung
Matthias Chung
64
1
0
17 Apr 2023
The Deep Latent Position Topic Model for Clustering and Representation
  of Networks with Textual Edges
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
Rémi Boutin
Pierre Latouche
C. Bouveyron
33
2
0
14 Apr 2023
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Shan Jia
Mingzhen Huang
Zhou Zhou
Yan Ju
Jialing Cai
Siwei Lyu
DiffM
102
32
0
14 Apr 2023
Sample Average Approximation for Black-Box VI
Sample Average Approximation for Black-Box VI
Javier Burroni
Justin Domke
Daniel Sheldon
69
4
0
13 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
108
60
0
13 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple
  Parameter-Efficient Fine-Tuning
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Enze Xie
Lewei Yao
Han Shi
Zhili Liu
Daquan Zhou
Zhaoqiang Liu
Jiawei Li
Zhenguo Li
74
81
0
13 Apr 2023
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