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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
Soft Convex Quantization: Revisiting Vector Quantization with Convex
  Optimization
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization
Tanmay Gautam
Reid Pryzant
Ziyi Yang
Chenguang Zhu
Somayeh Sojoudi
MQ
58
4
0
04 Oct 2023
Learning Interpretable Deep Disentangled Neural Networks for
  Hyperspectral Unmixing
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing
R. Borsoi
Deniz Erdoğmuş
Tales Imbiriba
79
6
0
03 Oct 2023
Conceptual Framework for Autonomous Cognitive Entities
Conceptual Framework for Autonomous Cognitive Entities
David Shapiro
Wangfan Li
Manuel Delaflor
Carlos Toxtli
83
1
0
03 Oct 2023
Self-supervised Learning for Anomaly Detection in Computational
  Workflows
Self-supervised Learning for Anomaly Detection in Computational Workflows
Hongwei Jin
Krishnan Raghavan
George Papadimitriou
Cong Wang
A. Mandal
Ewa Deelman
Prasanna Balaprakash
66
1
0
02 Oct 2023
Segmenting the motion components of a video: A long-term unsupervised
  model
Segmenting the motion components of a video: A long-term unsupervised model
E. Meunier
P. Bouthemy
110
0
0
02 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their
  own Data
On the Stability of Iterative Retraining of Generative Models on their own Data
Quentin Bertrand
A. Bose
Alexandre Duplessis
Marco Jiralerspong
Gauthier Gidel
164
51
0
30 Sep 2023
Augmenting LLMs with Knowledge: A survey on hallucination prevention
Augmenting LLMs with Knowledge: A survey on hallucination prevention
Shaocong Long
Lizhuang Ma
KELMRALMHILM
61
18
0
28 Sep 2023
Bayesian Cramér-Rao Bound Estimation with Score-Based Models
Bayesian Cramér-Rao Bound Estimation with Score-Based Models
Evan Scope Crafts
Xianyang Zhang
Ye Zhao
18
2
0
28 Sep 2023
Text-image guided Diffusion Model for generating Deepfake celebrity
  interactions
Text-image guided Diffusion Model for generating Deepfake celebrity interactions
Yunzhu Chen
Nur Al Hasan Haldar
Naveed Akhtar
Ajmal Mian
52
10
0
26 Sep 2023
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
Li-Yu Daisy Liu
Yongjie Xue
Yuru Zhang
Dawei Chen
Kyungtae Han
49
1
0
24 Sep 2023
How to train your VAE
How to train your VAE
Mariano Rivera
DRL
37
1
0
22 Sep 2023
World Modeling for Autonomous Wheel Loaders
World Modeling for Autonomous Wheel Loaders
Kojiro Aoshima
Arvid Fälldin
E. Wadbro
Martin Servin
64
4
0
21 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational
  Autoencoders
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa
M. H. Khan
95
5
0
20 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy
  measurements
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Varun A. Kelkar
Rucha Deshpande
Arindam Banerjee
M. Anastasio
DRLMedIm
120
7
0
09 Sep 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series
  Classification and Clustering
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
F. Huang
Yangdong Deng
GANAI4TS
64
1
0
09 Sep 2023
Variations and Relaxations of Normalizing Flows
Variations and Relaxations of Normalizing Flows
Keegan Kelly
Lorena Piedras
Sukrit Rao
David Samuel Roth
BDL
79
1
0
08 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
Hondamunige Prasanna Silva
Lorenzo Seidenari
A. Bimbo
DiffM
59
7
0
07 Sep 2023
Distributed Variational Inference for Online Supervised Learning
Distributed Variational Inference for Online Supervised Learning
P. Paritosh
Nikolay Atanasov
Sonia Martinez
77
1
0
05 Sep 2023
Single-Channel Speech Enhancement with Deep Complex U-Networks and
  Probabilistic Latent Space Models
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models
E. J. Nustede
Jörn Anemüller
41
3
0
04 Sep 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian
  Process State-Space Models
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Zhidi Lin
Juan Maroñas
Ying Li
Feng Yin
Sergios Theodoridis
93
3
0
03 Sep 2023
Multi-scale, Data-driven and Anatomically Constrained Deep Learning
  Image Registration for Adult and Fetal Echocardiography
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography
M. Hasan
Haobo Zhu
Guang Yang
Choon Hwai Yap
87
1
0
02 Sep 2023
Multi-plane denoising diffusion-based dimensionality expansion for
  2D-to-3D reconstruction of microstructures with harmonized sampling
Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
Kang-Hyun Lee
G. Yun
DiffM
75
11
0
27 Aug 2023
Residual Denoising Diffusion Models
Residual Denoising Diffusion Models
Jiawei Liu
Qiang Wang
Huijie Fan
Yinong Wang
Yandong Tang
Liangqiong Qu
DiffM
132
44
0
25 Aug 2023
Is Deep Learning Network Necessary for Image Generation?
Chenqiu Zhao
Guanfang Dong
Anup Basu
OOD
43
0
0
25 Aug 2023
Quantum-Noise-Driven Generative Diffusion Models
Quantum-Noise-Driven Generative Diffusion Models
Marco Parigi
Stefano Martina
Filippo Caruso
DiffM
101
19
0
23 Aug 2023
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for
  Brain MRI
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI
Abhijeet Parida
Zhifan Jiang
Syed Muhammad Anwar
N. Foreman
N. Stence
Michael Fisher
Roger J. Packer
Robert A. Avery
M. Linguraru
MedIm
28
1
0
21 Aug 2023
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a
  Set of Time Series
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series
Jan-Philipp Roche
Oliver Niggemann
J. Friebe
39
2
0
21 Aug 2023
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
Shou-Yong Hu
Fangzhou Hong
Tao Hu
Liang Pan
Haiyi Mei
Weiye Xiao
Lei Yang
Ziwei Liu
93
20
0
18 Aug 2023
Hierarchical Uncertainty Estimation for Medical Image Segmentation
  Networks
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks
Xinyu Bai
Wenjia Bai
UQCV
33
0
0
16 Aug 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Victorino Cardoso
Yazid Janati
Sylvain Le Corff
Eric Moulines
DiffM
101
32
0
15 Aug 2023
A Unified Masked Autoencoder with Patchified Skeletons for Motion
  Synthesis
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
Esteve Valls Mascaro
Hyemin Ahn
Dongheui Lee
CVBM
75
7
0
14 Aug 2023
Precipitation nowcasting with generative diffusion models
Precipitation nowcasting with generative diffusion models
Andrea Asperti
Fabio Merizzi
Alberto Paparella
G. Pedrazzi
M. Angelinelli
Stefano Colamonaco
DiffM
81
20
0
13 Aug 2023
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate
  Regression in Deep Learning of Thermochemical Processes
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes
Franz M. Rohrhofer
S. Posch
C. Gößnitzer
J. M. García-Oliver
Bernhard C. Geiger
60
1
0
03 Aug 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual
  Inference
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference
Yonghe Zhao
Q. Huang
Siwei Wu
Yun Peng
Huashan Sun
BDLCML
32
0
0
02 Aug 2023
Proactive Resource Request for Disaster Response: A Deep Learning-based
  Optimization Model
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model
Hongzhe Zhang
Xiaohang Zhao
Xiao Fang
Bintong Chen
61
6
0
31 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero
  Shot
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh
Touba Malekzadeh
Christopher T. H. Teo
Keshigeyan Chandrasegaran
Guimeng Liu
Ngai-Man Cheung
VLMMedIm
129
24
0
26 Jul 2023
Comparing Forward and Inverse Design Paradigms: A Case Study on
  Refractory High-Entropy Alloys
Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys
Arindam Debnath
Lavanya Raman
Wenjie Li
Adam M Krajewski
Marcia Ahn
Shuang Lin
S. Shang
A. Beese
Zibai Liu
Wesley F. Reinhart
AI4CE
36
11
0
25 Jul 2023
Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining
  Opportunity and Embedding Feature Imbalance
Few-shot 1/a\mathbf{1/a}1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance
Takato Yasuno
AI4TS
137
0
0
24 Jul 2023
InVAErt networks: a data-driven framework for model synthesis and
  identifiability analysis
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis
Guoxiang Grayson Tong
Carlos A. Sing Long
Daniele E. Schiavazzi
61
7
0
24 Jul 2023
Attention to Entropic Communication
Attention to Entropic Communication
T. Enßlin
Carolin Weidinger
Philipp Frank
105
1
0
21 Jul 2023
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Xumin Huang
Peichun Li
Hongyang Du
Jiawen Kang
Dusit Niyato
Dong In Kim
Yuehua Wu
72
59
0
14 Jul 2023
Robust scalable initialization for Bayesian variational inference with
  multi-modal Laplace approximations
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
Wyatt Bridgman
Reese E. Jones
Mohammad Khalil
66
1
0
12 Jul 2023
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
108
21
0
12 Jul 2023
Deep Probabilistic Movement Primitives with a Bayesian Aggregator
Deep Probabilistic Movement Primitives with a Bayesian Aggregator
Michael Przystupa
Faezeh Haghverd
Martin Jägersand
Samuele Tosatto
54
6
0
11 Jul 2023
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM
  Approach
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach
C. Coelho
M. F. P. Costa
L. L. Ferrás
BDLAI4TS
57
15
0
11 Jul 2023
Pathway toward prior knowledge-integrated machine learning in
  engineering
Pathway toward prior knowledge-integrated machine learning in engineering
Xia Chen
Philipp Geyer
AI4CE
61
4
0
10 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TSAI4CE
130
174
0
07 Jul 2023
Human Trajectory Forecasting with Explainable Behavioral Uncertainty
Human Trajectory Forecasting with Explainable Behavioral Uncertainty
Jiangbei Yue
Tianyi Zhou
He Wang
BDL
75
5
0
04 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Francisco Vargas
Shreyas Padhy
Denis Blessing
Nikolas Nusken
DiffMOT
139
8
0
03 Jul 2023
Causal Structure Learning by Using Intersection of Markov Blankets
Causal Structure Learning by Using Intersection of Markov Blankets
Yiran Dong
Chuanhou Gao
CML
59
0
0
01 Jul 2023
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