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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
Leaning Time-Varying Instruments for Identifying Causal Effects in
  Time-Series Data
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
T. Le
Xudong Guo
Shichao Zhang
CML
141
0
0
26 Nov 2024
An Information-Theoretic Regularizer for Lossy Neural Image Compression
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Yanmei Zhang
Meng Wang
Xihua Sheng
Peilin Chen
Junru Li
Li Zhang
Shuaiqiang Wang
492
0
0
23 Nov 2024
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of
  Factored-POMDPs
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs
Chao Han
Debabrota Basu
M. Mangan
Eleni Vasilaki
Aditya Gilra
104
0
0
12 Nov 2024
Reconstruction of neuromorphic dynamics from a single scalar time series
  using variational autoencoder and neural network map
Reconstruction of neuromorphic dynamics from a single scalar time series using variational autoencoder and neural network map
P. V. Kuptsov
N. Stankevich
70
0
0
11 Nov 2024
DanceFusion: A Spatio-Temporal Skeleton Diffusion Transformer for
  Audio-Driven Dance Motion Reconstruction
DanceFusion: A Spatio-Temporal Skeleton Diffusion Transformer for Audio-Driven Dance Motion Reconstruction
Li Zhao
Zhengmin Lu
VGen
69
0
0
07 Nov 2024
Textual Decomposition Then Sub-motion-space Scattering for
  Open-Vocabulary Motion Generation
Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation
Ke Fan
Jing Zhang
Ran Yi
Jingyu Gong
Yabiao Wang
Yating Wang
Xin Tan
Chengjie Wang
Lizhuang Ma
87
3
0
06 Nov 2024
SynthSet: Generative Diffusion Model for Semantic Segmentation in
  Precision Agriculture
SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
Andrew Heschl
Mauricio Murillo
Keyhan Najafian
F. Maleki
DiffM
56
2
0
05 Nov 2024
Building the Self-Improvement Loop: Error Detection and Correction in
  Goal-Oriented Semantic Communications
Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications
Peizheng Li
Xinyi Lin
Adnan Aijaz
51
0
0
03 Nov 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning
  for Robustness under Diverse Data Corruptions
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Rui Yang
Jie Wang
Guoping Wu
Yangqiu Song
AAMLOffRL
140
3
0
01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD
  Detection in SAR Imagery
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
Kyung-Hwan Lee
Kyung-Tae Kim
77
0
0
01 Nov 2024
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
Panagiota Gatoula
Dimitrios E. Diamantis
Anastasios Koulaouzidis
Cristina Carretero
Stefania Chetcuti-Zammit
...
John Plevris
Alexander Robertson
Bruno Rosa
Ervin Toth
D. Iakovidis
MedIm
113
0
0
31 Oct 2024
Generating Realistic Tabular Data with Large Language Models
Generating Realistic Tabular Data with Large Language Models
Dang Nguyen
Sunil Gupta
Kien Do
Thin Nguyen
Svetha Venkatesh
LMTDSyDa
74
1
0
29 Oct 2024
Disentangling Genotype and Environment Specific Latent Features for
  Improved Trait Prediction using a Compositional Autoencoder
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder
Anirudha Powadi
Talukder Zaki Jubery
Michael C. Tross
James C. Schnable
Baskar Ganapathysubramanian
CMLCoGe
56
1
0
25 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
160
5
0
25 Oct 2024
Variational autoencoders stabilise TCN performance when classifying
  weakly labelled bioacoustics data
Variational autoencoders stabilise TCN performance when classifying weakly labelled bioacoustics data
Laia Garrobé Fonollosa
Douglas Gillespie
L. Stanković
V. Stanković
Luke Rendell
49
0
0
22 Oct 2024
A roadmap for generative mapping: unlocking the power of generative AI
  for map-making
A roadmap for generative mapping: unlocking the power of generative AI for map-making
Sidi Wu
Katharina Henggeler
Yizi Chen
L. Hurni
31
1
0
21 Oct 2024
Data Augmentation via Diffusion Model to Enhance AI Fairness
Data Augmentation via Diffusion Model to Enhance AI Fairness
Christina Hastings Blow
Lijun Qian
Camille Gibson
Pamela Obiomon
Xishuang Dong
DiffM
58
2
0
20 Oct 2024
Boardwalk Empire: How Generative AI is Revolutionizing Economic
  Paradigms
Boardwalk Empire: How Generative AI is Revolutionizing Economic Paradigms
Subramanyam Sahoo
Kamlesh Dutta
101
2
0
19 Oct 2024
HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for
  Inanimate Objects
HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for Inanimate Objects
Oliverio Theophilus Nathanael
Jonathan Samuel Lumentut
Nicholas Hans Muliawan
Edbert Valencio Angky
Felix Indra Kurniadi
Alfi Yusrotis Zakiyyah
Jeklin Harefa
DiffM
49
1
0
18 Oct 2024
Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio
Generative Deep Learning and Signal Processing for Data Augmentation of Cardiac Auscultation Signals: Improving Model Robustness Using Synthetic Audio
Leigh Abbott
Milan Marocchi
Matthew Fynn
Yue Rong
Sven Nordholm
MedIm
66
0
0
14 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka
Johannes Brunnemann
Jörg Eiden
Arne Speerforck
Lars Mikelsons
100
0
0
14 Oct 2024
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object
  Monocular Pose Estimation
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation
Jianyu Zhao
Wei Quan
Bogdan J. Matuszewski
46
0
0
11 Oct 2024
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
Moirangthem Tiken Singh
Rabinder Kumar Prasad
Gurumayum Robert Michael
N K Kaphungkui
N. Hemarjit Singh
74
1
0
10 Oct 2024
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
Onkar Susladkar
Jishu Sen Gupta
Chirag Sehgal
Sparsh Mittal
Rekha Singhal
DiffMVGen
105
0
0
10 Oct 2024
Conditional Variational Autoencoders for Probabilistic Pose Regression
Conditional Variational Autoencoders for Probabilistic Pose Regression
Fereidoon Zangeneh
Leonard Bruns
A. Dekel
Alessandro Pieropan
Patric Jensfelt
DRL
118
1
0
07 Oct 2024
Bridging SFT and DPO for Diffusion Model Alignment with Self-Sampling Preference Optimization
Bridging SFT and DPO for Diffusion Model Alignment with Self-Sampling Preference Optimization
Daoan Zhang
Guangchen Lan
Dong-Jun Han
Wenlin Yao
Xiaoman Pan
...
Mingxiao Li
Pengcheng Chen
Yu Dong
Christopher G. Brinton
Jiebo Luo
EGVM
108
6
0
07 Oct 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
Qianru Zhang
Peng Yang
Junliang Yu
Haixin Wang
Xingwei He
Siu-Ming Yiu
Hongzhi Yin
145
3
0
03 Oct 2024
Deep Generative Modeling for Identification of Noisy, Non-Stationary
  Dynamical Systems
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
Doris Voina
Steven Brunton
J. Nathan Kutz
DiffM
79
2
0
02 Oct 2024
Entropy, concentration, and learning: a statistical mechanics primer
Entropy, concentration, and learning: a statistical mechanics primer
Akshay Balsubramani
AI4CE
61
1
0
27 Sep 2024
Embed and Emulate: Contrastive representations for simulation-based
  inference
Embed and Emulate: Contrastive representations for simulation-based inference
Ruoxi Jiang
Peter Y. Lu
Rebecca Willett
63
1
0
27 Sep 2024
Preserving logical and functional dependencies in synthetic tabular data
Preserving logical and functional dependencies in synthetic tabular data
Chaithra Umesh
Kristian Schultz
Manjunath Mahendra
Saparshi Bej
Olaf Wolkenhauer
76
0
0
26 Sep 2024
Data-driven Probabilistic Trajectory Learning with High Temporal
  Resolution in Terminal Airspace
Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace
Jun Xiang
Jun Chen
38
1
0
25 Sep 2024
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for
  Time Series Generation
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
MohammadReza EskandariNasab
S. M. Hamdi
S. F. Boubrahimi
GANAI4TS
57
1
0
21 Sep 2024
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
H M Mohaimanul Islam
Huynh Q. N. Vo
P. Ramanan
84
0
0
18 Sep 2024
MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion
MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion
Kalakonda Sai Shashank
Shubh Maheshwari
Ravi Kiran Sarvadevabhatla
VGenDiffM
107
3
0
18 Sep 2024
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
Zhenhao Jiang
Jicong Fan
FaML
58
1
0
18 Sep 2024
Image-to-Image Translation Based on Deep Generative Modeling for
  Radiotherapy Synthetic Dataset Creation
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation
Olga Glazunova
Cecile J. A. Wolfs
Frank Verhaegen
MedIm
50
0
0
17 Sep 2024
Latent mixed-effect models for high-dimensional longitudinal data
Latent mixed-effect models for high-dimensional longitudinal data
Priscilla Ong
Manuel Haußmann
Otto Lönnroth
Harri Lähdesmäki
54
0
0
17 Sep 2024
MAISI: Medical AI for Synthetic Imaging
MAISI: Medical AI for Synthetic Imaging
Pengfei Guo
Can Zhao
Dong Yang
Ziyue Xu
Vishwesh Nath
...
Benjamin D. Simon
Mason J Belue
Stephanie Harmon
Baris Turkbey
Daguang Xu
DiffMMedIm
79
25
0
13 Sep 2024
Text-Guided Mixup Towards Long-Tailed Image Categorization
Text-Guided Mixup Towards Long-Tailed Image Categorization
Richard Franklin
Jiawei Yao
Deyang Zhong
Qi Qian
Juhua Hu
VLM
70
0
0
05 Sep 2024
Abstracted Gaussian Prototypes for One-Shot Concept Learning
Abstracted Gaussian Prototypes for One-Shot Concept Learning
Chelsea Zou
Kenneth J. Kurtz
VLM
72
0
0
30 Aug 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
276
5
0
30 Aug 2024
Variance reduction of diffusion model's gradients with Taylor
  approximation-based control variate
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate
Paul Jeha
Will Grathwohl
Michael Riis Andersen
Carl Henrik Ek
J. Frellsen
DiffM
106
1
0
22 Aug 2024
HYDEN: Hyperbolic Density Representations for Medical Images and Reports
HYDEN: Hyperbolic Density Representations for Medical Images and Reports
Zhi Qiao
Linbin Han
Xiantong Zhen
Jia-Hong Gao
Zhen Qian
72
0
0
19 Aug 2024
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Yuhe Nie
Michael Middleton
Tim Merino
Nidhushan Kanagaraja
Ashutosh Kumar
Zhan Zhuang
Julian Togelius
91
0
0
18 Aug 2024
Controlling for discrete unmeasured confounding in nonlinear causal
  models
Controlling for discrete unmeasured confounding in nonlinear causal models
Patrick Burauel
Frederick Eberhardt
Michel Besserve
CML
47
0
0
10 Aug 2024
Multiple Contexts and Frequencies Aggregation Network forDeepfake
  Detection
Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection
Zifeng Li
Wen-Jun Tang
Shijun Gao
Shuai Wang
Yanxiang Wang
CVBM
111
2
0
03 Aug 2024
Invariant Discovery of Features Across Multiple Length Scales:
  Applications in Microscopy and Autonomous Materials Characterization
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
Aditya Raghavan
Utkarsh Pratiush
Mani Valleti
R. Liu
Reece Emery
Hiroshi Funakubo
Yongtao Liu
Philip D. Rack
Sergei V. Kalinin
52
0
0
01 Aug 2024
Learning Physics for Unveiling Hidden Earthquake Ground Motions via
  Conditional Generative Modeling
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
Pu Ren
R. Nakata
Maxime Lacour
Ilan Naiman
Nori Nakata
...
Osman Asif Malik
Dmitriy Morozov
Omri Azencot
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
72
9
0
21 Jul 2024
A deep latent variable model for semi-supervised multi-unit soft sensing
  in industrial processes
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
B. Grimstad
Kristian Lovland
Lars Imsland
V. Gunnerud
93
1
0
18 Jul 2024
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