ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.02691
  4. Cited By
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
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
120
3
0
15 Jul 2024
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement
  using Pre-trained Video Diffusion Models
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang
Haoxin Chen
Yong Zhang
Menghan Xia
Xiaodong Cun
Zhixun Su
Ying Shan
DiffM
77
3
0
14 Jul 2024
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long
  Motion Generation
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation
Zeyu Zhang
Akide Liu
Qi Chen
Feng Chen
Ian Reid
Richard Hartley
Bohan Zhuang
Hao Tang
Mamba
72
11
0
14 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Yezi Liu
Yanning Shen
DD
99
5
0
10 Jul 2024
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
Bowen Zhang
Yiji Cheng
Chunyu Wang
Ting Zhang
Jiaolong Yang
Yansong Tang
Feng Zhao
Dong Chen
Baining Guo
DiffM
96
19
0
09 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow
Entropy-Informed Weighting Channel Normalizing Flow
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
66
0
0
06 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated
  Time-series Forecasting
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
Harshavardhan Kamarthi
Lingkai Kong
Alexander Rodríguez
Chao Zhang
B Aditya Prakash
AI4TS
79
1
0
02 Jul 2024
Boosting Consistency in Story Visualization with Rich-Contextual
  Conditional Diffusion Models
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
Fei Shen
Hu Ye
Sibo Liu
Jun Zhang
Cong Wang
Xiao Han
Wei Yang
136
40
0
02 Jul 2024
Joint-Dataset Learning and Cross-Consistent Regularization for
  Text-to-Motion Retrieval
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval
Nicola Messina
J. Sedmidubský
Fabrizio Falchi
Tomáš Rebok
80
0
0
02 Jul 2024
Diffusion Models and Representation Learning: A Survey
Diffusion Models and Representation Learning: A Survey
Michael Fuest
Pingchuan Ma
Ming Gui
Johannes S. Fischer
Vincent Tao Hu
Bjorn Ommer
DiffM
104
24
0
30 Jun 2024
Disentangled Representations for Causal Cognition
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
101
2
0
30 Jun 2024
Establishing Deep InfoMax as an effective self-supervised learning
  methodology in materials informatics
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics
Michael Moran
Vladimir V. Gusev
M. Gaultois
Dmytro Antypov
M. Rosseinsky
AI4CE
70
0
0
30 Jun 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal
  Structural Behavior
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior
Melanie Schaller
Daniel Schlor
Andreas Hotho
63
3
0
28 Jun 2024
Subtractive Training for Music Stem Insertion using Latent Diffusion Models
Subtractive Training for Music Stem Insertion using Latent Diffusion Models
Ivan Villa-Renteria
Mason L. Wang
Zachary Shah
Zhe Li
Soohyun Kim
Neelesh Ramachandran
Mert Pilanci
179
0
0
27 Jun 2024
Optimal Transport for Latent Integration with An Application to
  Heterogeneous Neuronal Activity Data
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data
Yubai Yuan
Babak Shahbaba
Norbert Fortin
Keiland W Cooper
Qing Nie
Annie Qu
44
0
0
27 Jun 2024
Tree-based variational inference for Poisson log-normal models
Tree-based variational inference for Poisson log-normal models
Alexandre Chaussard
Anna Bonnet
Elisabeth Gassiat
Sylvain Le Corff
65
0
0
25 Jun 2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin
  Methods
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods
Remi Laumont
Yiqiu Dong
Martin Skovgaard Andersen
54
1
0
24 Jun 2024
Provable Statistical Rates for Consistency Diffusion Models
Provable Statistical Rates for Consistency Diffusion Models
Zehao Dou
Minshuo Chen
Mengdi Wang
Zhuoran Yang
DiffM
102
3
0
23 Jun 2024
Stein's Method of Moments on the Sphere
Stein's Method of Moments on the Sphere
Adrian Fischer
Robert E. Gaunt
Yvik Swan
38
2
0
15 Jun 2024
Neural Concept Binder
Neural Concept Binder
Wolfgang Stammer
Antonia Wüst
David Steinmann
Kristian Kersting
OCL
102
7
0
14 Jun 2024
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion
  Prior
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior
Baiang Li
Sizhuo Ma
Yanhong Zeng
Xiaogang Xu
Youqing Fang
Zhao Zhang
Jian Wang
Kai Chen
DiffM
58
1
0
13 Jun 2024
The Significance of Latent Data Divergence in Predicting System
  Degradation
The Significance of Latent Data Divergence in Predicting System Degradation
Miguel Fernandes
Catarina Silva
Alberto Cardoso
Bernardete Ribeiro
33
0
0
13 Jun 2024
FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
Ahmed Abul Hasanaath
Hamzah Luqman
Raed Katib
Saeed Anwar
68
4
0
12 Jun 2024
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Ping Liu
Qiqi Tao
Joey Tianyi Zhou
145
1
0
11 Jun 2024
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by
  Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Marek Wodzinski
K. Kwarciak
Mateusz Daniol
D. Hemmerling
DiffMMedIm
61
6
0
10 Jun 2024
A Comprehensive Evaluation of Generative Models in Calorimeter Shower
  Simulation
A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation
Farzana Yasmin Ahmad
Vanamala Venkataswamy
Geoffrey Fox
DiffM
62
6
0
08 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
Niki van Stein
Carola Doerr
T. Eftimov
81
1
0
08 Jun 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models
Efficient Differentially Private Fine-Tuning of Diffusion Models
Jing Liu
Andrew Lowy
T. Koike-Akino
K. Parsons
Ye Wang
102
0
0
07 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by
  Regularizing Unwanted Noise
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
Zhixun He
Mukesh Singhal
79
1
0
05 Jun 2024
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using
  Denoising Diffusion Models
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models
Reza Babaei
Samuel Cheng
Theresa Thai
Shangqing Zhao
MedImDiffM
94
4
0
04 Jun 2024
A Diffusion Model Framework for Unsupervised Neural Combinatorial
  Optimization
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski
Sepp Hochreiter
Sebastian Lehner
113
23
0
03 Jun 2024
Learning to Play Atari in a World of Tokens
Learning to Play Atari in a World of Tokens
Pranav Agarwal
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
93
2
0
03 Jun 2024
A Survey of Deep Learning Audio Generation Methods
A Survey of Deep Learning Audio Generation Methods
Matej Bozic
Marko Horvat
VLMMedIm
104
1
0
31 May 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and
  Tool Capabilities
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities
Maria F. Davila
Sven Groen
Fabian Panse
Wolfram Wingerath
LMTD
65
2
0
31 May 2024
Intersectional Unfairness Discovery
Intersectional Unfairness Discovery
Gezheng Xu
Qi Chen
Charles Ling
Boyu Wang
Changjian Shui
73
3
0
31 May 2024
Poisson Variational Autoencoder
Poisson Variational Autoencoder
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
75
2
0
23 May 2024
Alternators For Sequence Modeling
Alternators For Sequence Modeling
Mohammad Reza Rezaei
Adji Bousso Dieng
70
2
0
20 May 2024
Diversity-Aware Sign Language Production through a Pose Encoding
  Variational Autoencoder
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder
Mohamed Ilyes Lakhal
Richard Bowden
61
0
0
16 May 2024
FuXi-ENS: A machine learning model for medium-range ensemble weather
  forecasting
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
Xiaohui Zhong
Lei Chen
Hao Li
Jun Liu
Xu Fan
...
Kan Dai
Jing-Jia Luo
Jie Wu
Yuan Qi
Bo Lu
AI4Cl
85
12
0
09 May 2024
Geometry-aware framework for deep energy method: an application to
  structural mechanics with hyperelastic materials
Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials
Thi Nguyen Khoa Nguyen
T. Dairay
Raphael Meunier
Christophe Millet
Mathilde Mougeot
AI4CEPINN
79
0
0
06 May 2024
A deep causal inference model for fully-interpretable travel behaviour
  analysis
A deep causal inference model for fully-interpretable travel behaviour analysis
K. Kamal
Bilal Farooq
59
0
0
02 May 2024
A Method of Moments Embedding Constraint and its Application to
  Semi-Supervised Learning
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski
Sumeet Menon
Parniyan Farvardin
David Chapman
84
4
0
27 Apr 2024
Variational Bayesian surrogate modelling with application to robust
  design optimisation
Variational Bayesian surrogate modelling with application to robust design optimisation
Thomas A. Archbold
Ieva Kazlauskaite
F. Cirak
109
1
0
23 Apr 2024
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven
  Generalized Converting Autoencoder
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder
Hasanul Mahmud
Kevin Desai
P. Lama
Sushil Prasad
85
0
0
21 Apr 2024
ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in
  Partial Differential Equation
ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation
Enze Jiang
Jishen Peng
Zheng Ma
Xiong-bin Yan
86
0
0
21 Apr 2024
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
Giacomo DÁmicantonio
Egor Bondarau
Peter H. N. de With
AI4TS
89
0
0
19 Apr 2024
Semantic Communication for Cooperative Multi-Task Processing over
  Wireless Networks
Semantic Communication for Cooperative Multi-Task Processing over Wireless Networks
Ahmad Halimi Razlighi
C. Bockelmann
Armin Dekorsy
79
5
0
12 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLMMedImDiffM
124
59
0
11 Apr 2024
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios
Guido Borghi
Annalisa Franco
Nicolò Di Domenico
Matteo Ferrara
Davide Maltoni
50
0
0
10 Apr 2024
Transformers for molecular property prediction: Lessons learned from the
  past five years
Transformers for molecular property prediction: Lessons learned from the past five years
Afnan Sultan
Jochen Sieg
M. Mathea
Andrea Volkamer
AI4CE
66
12
0
05 Apr 2024
Previous
12345...151617
Next