An Introduction to Variational Autoencoders

Cited by (1,002)

Items 801–900 of 1,002

1. A variational autoencoder for minimally-supervised pulse shape discrimination
   Abdullah Abdulaziz, Jianxin Zhou, Ming Fang, Stephen McLaughlin, Angela Di Fulvio, Yoann Altmann · 2024 · Annals of Nuclear Energy
2. Latent Mechanisms of Polarization Switching from In Situ Electron Microscopy Observations
   Reinis Ignatāns, Maxim A Ziatdinov, Rama Krishnan Vasudevan, Mani Valleti, Vasiliki Tileli, Sergei V. Kalinin · 2022 · Advanced Functional Materials
3. Credit Card Fraud Detection Using Autoencoder-Based Deep Neural Networks
   Jiatong Shen · 2021 · International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)
4. Radon–Sobolev Variational Auto-Encoders
   Gabriel Turinici · 2021 · Neural Networks
5. Deep Learning-Based Phenological Event Modeling for Classification of Crops
   Pattathal Vijayakumar Arun, Arnon Karnieli · 2021 · Remote Sensing
6. Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder
   Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu, Rukhsana Ruby, Kaishun Wu · 2021 · Computing and Informatics
7. Generative methods for sampling transition paths in molecular dynamics
   Tony Lelièvre A, Geneviève Robin, Innas Sekkat, Gabriel Stoltz, Gabriel Victorino Cardoso · 2023 · ESAIM Proceedings and Surveys
8. Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalizing flows
   F. Morawski, M. Bejger · 2022 · Physical Review C
9. A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data
   Nima Hatami, Laura Mechtouff, David Rousseau, Tae‐Hee Cho, Omer Eker, Yves Berthezène, Carole Frindel · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
10. Data Protection: Privacy-Preserving Data Collection With Validation
    Jiahui Hou, Dongxiao Liu, Cheng Huang, Weihua Zhuang, Xuemin Shen, Rob Sun, Bidi Ying · 2023 · IEEE Transactions on Dependable and Secure Computing
11. CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation
    Qiyuan Xi, Fei Wang, Liangze Tao, Hanjing Zhang, Xun Jiang, Juan Wu · 2024 · IEEE Robotics and Automation Letters
12. Reconstructing Human Pose From Inertial Measurements: A Generative Model-Based Compressive Sensing Approach
    Nguyen Quang Hieu, Dinh Thai Hoang, Diep Ngoc Nguyen, Mohammad Abu Alsheikh · 2024 · IEEE Journal on Selected Areas in Communications
13. A survey of vision-based condition monitoring methods using deep learning: A synthetic fiber rope perspective
    Anju Rani, Daniel Ortíz-Arroyo, Petar Durdevic · 2024 · Engineering Applications of Artificial Intelligence
14. FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings
    Umair Khan, Russell Thompson, Jason Li, Lauren P. Etter, Ingrid Camelo, Rachel C Pieciak, Ilse M. Castro-Aragon, Bindu N. Setty, Christopher John Gill, Libertario Demi et al. · 2024 · Computers in Biology and Medicine
15. Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
    Zhidi Lin, Yiyong Sun, Feng Yin, Alexandre H. Thiéry · 2024 · IEEE Transactions on Signal Processing
16. Deepfakes in Social Engineering Attacks
    Darren Steve Dsouza, Ayman El Hajjar, Hamid Jahankhani · 2024 · Space Law and Policy
17. Efficient image generation with Contour Wavelet Diffusion
    Dimeng Zhang, JiaYao Li, Zilong Chen, Yuntao Zou · 2024 · Computers & Graphics
18. Airfoil Optimization Using Deep Learning Models and Evolutionary Algorithms for the Case Large-Endurance UAVs Design
    E. Yu. Minaev, Jose Gabriel Quijada Pioquinto, Валентин Шахов, Evgenii Igorevich Kurkin, Oleg Lukyanov · 2024 · Drones
19. M2D-VAE: Self-Supervised Probabilistic Temporal–Spatial Latent Representation Learning for Unsupervised Industrial Operational Applications Under Missing Value Interference
    Qingyang Dai, Chunhui Zhao, Biao Huang · 2024 · IEEE Transactions on Neural Networks and Learning Systems
20. Disentangled Representation Learning for Causal Inference With Instruments
    Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le · 2024 · IEEE Transactions on Neural Networks and Learning Systems
21. CIDM: A comprehensive inpainting diffusion model for missing weather radar data with knowledge guidance
    Wei Zhang, Xinyu Zhang, Junyu Dong, Xiaojiang Song, Renbo Pang · 2025 · ISPRS Journal of Photogrammetry and Remote Sensing
22. Data augmentation via diffusion model to enhance AI fairness
    Christina Hastings Blow, Lijun Qian, Camille A. Gibson, Pamela Obiomon, Xishuang Dong · 2025 · Frontiers in Artificial Intelligence
23. FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model
    Yunxiang Li, Hua‐Chieh Shao, Xiaoxue Qian, You Zhang · 2025 · Machine Learning Science and Technology
24. Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data
    Pengli Zhu, Chaoqiang Liu, Yingji Fu, Nanguang Chen, Anqi Qiu · 2025 · Medical Image Analysis
25. Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPM
    Boris N. Slautin, Yongtao Liu, Kamyar Barakati, Yu Liu, Reece Emery, Seungbum Hong, Astita Dubey, Vladimir V. Shvartsman, Doru Constantin Lupascu, Sheryl L. Sanchez et al. · 2025 · Applied Physics Reviews
26. Explainable Generative AI: A Two-Stage Review of Existing Techniques and Future Research Directions
    Prabha M. Kumarage, Mirka Saarela · 2026 · AI
27. Generative adversarial networks: A comprehensive survey
    Abdullah Al-Yaari, Youjun Deng · 2026 · Systems and Soft Computing
28. Electric vehicle charging station location selection using generative artificial intelligence
    Eun Hak Lee, Euntak Lee · 2026 · Transportation Research Part E Logistics and Transportation Review
29. Measuring heterogeneity in normative models as the effective number of deviation patterns
    Abraham Nunes, Thomas P. Trappenberg, Martin Alda · 2020 · PLoS ONE
30. Planning from Pixels in Atari with Learned Symbolic Representations
    Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
31. Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns
    A. Sadik Satir, Umut Demir, Gulay Goktas Sever, Nazım Kemal Üre · 2021 · Istanbul Technical University Academic Open Archive (Istanbul Technical University)
32. Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
    Mojtaba Forghani, Yizhou Qian, Jonghyun Harry Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric Darve · 2022 · Advances in Water Resources
33. Generating Contextual Load Profiles Using a Conditional Variational Autoencoder
    Chenguang Wang, Simon H. Tindemans, Peter Pálenský · 2022 · IEEE PES Innovative Smart Grid Technologies Europe
34. A deep generative adversarial network capturing complex spiral waves in disinhibited circuits of the cerebral cortex
    Megan Boucher-Routhier, Jean‐Philippe Thivierge · 2023 · BMC Neuroscience
35. Output-Dependent Gaussian Process State-Space Model
    Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Robert Cui · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
36. Real-time unsupervised monitoring of earth pressure balance shield-induced sinkholes in mixed-face ground conditions via convolutional variational autoencoders
    Jorge Loy-Benitez, Hyun-Koo Lee, Myung Kyu Song, Je-Kyum Lee, Sean Seungwon Lee · 2024 · Tunnelling and Underground Space Technology
37. RefXVC: Cross-Lingual Voice Conversion With Enhanced Reference Leveraging
    Mingyang Zhang, Yi Zhou, Yi Ren, Chen Zhang, Xiang Yin, Haizhou Li · 2024 · IEEE/ACM Transactions on Audio Speech and Language Processing
38. On Measuring Popularity Bias in Collaborative Filtering Data.
    Rodrigo Borges, Kostas Stefanidis · 2020 · Tampere University Institutional Repository (Tampere University)
39. Recursive tree grammar autoencoders
    Benjamin Paaßen, Irena Koprinska, Kalina Yacef · 2022 · Machine Learning
40. GUV-Net for high fidelity shoeprint generation
    Muhammad Ammar Hassan, Yan Wang, Wei Pang, Di Wang, Daixi Li, You Zhou, Dong He Xu · 2021 · Complex & Intelligent Systems
41. Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Autoencoders
    Wei Xiong, Neil Yeung, Shubo Wang, Haofu Liao, Liyun Wang, Jiebo Luo · 2022 · BME Frontiers
42. Hemodynamic Monitoring via Model-Based Extended Kalman Filtering: Hemorrhage Resuscitation and Sedation Case Study
    Weidi Yin, Ali Tivay, Jin‐Oh Hahn · 2022 · IEEE Control Systems Letters
43. Robustness of Deep Learning Models for Vision Tasks
    Youngseok Lee, Jongweon Kim · 2023 · Applied Sciences
44. An Uncertainty Estimation Framework for Risk Assessment in Deep Learning-based AFib Classification
    James Belen, Sajad Mousavi, Alireza Shamsoshoara, Fatemeh Afghah · 2020 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
45. Adaptive Efficient Coding: A Variational Auto-encoder Approach
    Guy Aridor, Francesco Grechi, Michael Woodford · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
46. Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
    Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E. Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J Miska, Jean‐Paul Noel et al. · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
47. Hybrid Autoencoder for Interference Detection in Raw GNSS Observations
    Karin Mascher, Stefan Laller, Philipp Berglez · 2023 · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
48. A machine learning framework for quantifying in-game space-control efficiency in football
    Chaoyi Gu, De Silva, Mike P. Caine · 2023 · Knowledge-Based Systems
49. Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction
    S. Rajaram, Cassie S. Mitchell · 2023 · Inf.
50. Generative Deep Learning Techniques for Traffic Matrix Estimation From Link Load Measurements
    Grigorios Kakkavas, Nikolaos Fryganiotis, Vasileios A. Karyotis, Symeon Papavassiliou · 2024 · IEEE Open Journal of the Communications Society
51. Exploring descriptors for titanium microstructure via digital fingerprints from variational autoencoders
    Michael White, Gowtham Nimmal Haribabu, Jeyapriya Thimukonda Jegadeesan, Bikramjit Basu, Philip John Withers, Christopher Peter Race · 2024 · Computational Materials Science
52. Adversarial AI applied to cross-user inter-domain and intra-domain adaptation in human activity recognition using wireless signals
    Muhammad Abul Hassan, Tom Kelsey, Fahrurrozi Rahman · 2024 · PLoS ONE
53. Jointly efficient encoding and decoding in neural populations
    Simone Blanco Malerba, Aurora Micheli, Michael Woodford, Rava Azeredo da Silveira · 2024 · PLoS Computational Biology
54. scIDPMs: Single-Cell RNA-Seq Imputation Using Diffusion Probabilistic Models
    Zhiqiang Zhang, Lin Liu · 2024 · IEEE Journal of Biomedical and Health Informatics
55. From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty
    Haobin Wen, Long Zhang, Jyoti Kumar Sinha · 2024 · Sensors
56. CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers
    Fahad Alharbi, Suhuai Luo, Abdullah Alsaedi, Sipei Zhao, Guang Yang · 2024 · Sensors
57. Power consumption prediction in warehouses using variational autoencoders and tree-based regression models
    Zaid Allal, Hassan Noura, Ola Salman, Khaled Chahine · 2024 · Energy and Built Environment
58. Explainable evaluation of generative adversarial networks for wearables data augmentation
    Sara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli · 2025 · Engineering Applications of Artificial Intelligence
59. Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders
    Yadang Alexis Rouzoumka, Eugénie Terreaux, C. Morisseau, Jean‐Philippe Ovarlez, Chengfang Ren · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
60. Accurate prediction of the kinetic sequence of physicochemical states using generative artificial intelligence
    Palash Bera, Jagannath Mondal · 2025 · Chemical Science
61. MuFuBP-Net: A Multimodal Fusion Network for Cuffless Blood Pressure Estimation Using Dual-Feature Pipeline With Probabilistic Feature Encoder
    Farhad Hassan, Mubashir Ali, Zubair Akbar, Jingzhen Li, Yuhang Liu, Weihao Wang, Lixin Guo, Zedong Nie · 2025 · IEEE Journal of Biomedical and Health Informatics
62. Variational Autoencoders (VAEs)
    S. Vishnu Shankar, S. R. Naffees Gowsar, M. Manjubala · 2025 · Information systems engineering and management
63. Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models
    Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
64. A variational deep-learning approach to modeling memory T cell dynamics
    Christiaan Hendrik van Dorp, Joshua I. Gray, Daniel H. Paik, Donna L. Färber, Andrew J. Yates · 2025 · PLoS Computational Biology
65. Prediction of cellular morphology changes under perturbations with a transcriptome-guided diffusion model
    Xuesong Wang, Yimin Fan, Yucheng Guo, Chenghao Fu, Kinhei Lee, Khachatur Dallakyan, Y. G. Li, Qijin Yin, Yu Li, Le Song · 2025 · Nature Communications
66. Explainable fault detection and diagnosis in HVAC systems using a Koopman operator with normal data
    Kyoung-Su Park, Jin‐Hong Kim, Cheol Soo Park · 2025 · Energy and Buildings
67. Exploring Multi-Agent Dynamics for Generative AI and Large Language Models in Mobile Edge Networks
    Xiaoya Zheng, Geng Sun, Jiahui Li, Jiacheng Wang, Dusit Niyato, Dong In Kim, Ping Zhang · 2025 · IEEE Wireless Communications
68. Predicting Materials Using Variational Autoencoders: A Systematic Literature Review
    Mohammad Mazedul Islam, T. M. A. Iqbal Bin Belal, Md. Arif Hossain Chowdhury Anik, Ahmed Sharif · 2026 · Archives of Computational Methods in Engineering
69. $$\pi $$VAE: a stochastic process prior for Bayesian deep learning with MCMC
    Swapnil Mishra, Seth R Flaxman, Tresnia Berah, Harrison Zhu, Mikko S. Pakkanen, Samir Bhatt · 2022 · Statistics and Computing
70. Invertible Neural Networks for Graph Prediction
    Chen Xu, Xiuyuan Cheng, Yao Xie · 2022 · IEEE Journal on Selected Areas in Information Theory
71. Helium focused ion beam induced subsurface damage on Si and SiC substrates: experiments and generative deep neural network modeling via position-dependent input
    Qianhuang Chen, Miguel A. Gosálvez, Qi Li, Yan Feng Xing · 2023 · Journal of Materials Research and Technology
72. Unsupervised machine learning discovery of structural units and transformation pathways from imaging data
    Sergei V. Kalinin, Ondrej Dyck, Ayana Ghosh, Yong-Tao Liu, B. Sumpter, M. Ziatdinov · 2023 · APL Machine Learning
73. Low-Dimensional Text Representations for Sentiment Analysis NLP Tasks
    Leonidas Akritidis, Panayiotis Bozanis · 2023 · SN Computer Science
74. Latent Neural Network For Recognition of Annomalies in 3D-Print of a Scale Model for Wind Tunnel Measurements
    Paweł Tomiło, Jarosław Pytka, Jerzy Jóźwik, Ernest Gnapowski, Tomasz Muszyński, Andrzej Łukaszewicz · 2023 · IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)
75. Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging
    Komal Kumar, Snehashis Chakraborty, Sudipta Singha Roy · 2023 · Lecture notes in computer science
76. Deep kernel methods learn better: from cards to process optimization
    Mani Valleti, Rama Krishnan Vasudevan, Maxim A Ziatdinov, Sergei V. Kalinin · 2024 · Machine Learning Science and Technology
77. Text-image guided Diffusion Model for generating Deepfake celebrity interactions
    Yunzhuo Chen, Nur Al Hasan Haldar, Naveed Akhtar, Ajmal Saeed Mian · 2023 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
78. Unraveling the impact of initial choices and in-loop interventions on learning dynamics in autonomous scanning probe microscopy
    Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin · 2024 · Journal of Applied Physics
79. InVAErt networks: A data-driven framework for model synthesis and identifiability analysis
    Guoxiang Grayson Tong, Carlos Sing‐Long, Daniele E. Schiavazzi · 2024 · Computer Methods in Applied Mechanics and Engineering
80. Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders
    Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
81. Variational Autoencoder for Channel Estimation: Real-World Measurement Insights
    Michael Baur, Benedikt Böck, Nurettin Turan, Wolfgang Utschick · 2024 · International ITG Workshop on Smart Antennas
82. A survey of generative models for image-based structural health monitoring in civil infrastructure
    Gi-Hun Gwon, Hyung‐Jo Jung · 2025 · Journal of Infrastructure Intelligence and Resilience
83. Words shaping worlds: A comprehensive exploration of text-driven image and video generation with generative adversarial networks
    Anwar Ullah, Muhammad Numan, Mohd Nor Akmal Khalid, Abdul Majid · 2025 · Neurocomputing
84. Representational Rényi Heterogeneity
    Abraham Nunes, Martin Alda, Timothy Bardouille, Thomas P. Trappenberg · 2020 · Entropy
85. Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders
    Soeren Lukassen, Foo Wei Ten, Lukas Adam, Roland Eils, Christian Conrad · 2020 · Nature Machine Intelligence
86. A Survey on Image Super-Resolution with Generative Adversarial Networks
    Hürkal Hüsem, Zeynep Orman · 2020 · Acta Infologica
87. Deep Learning Approaches to Surrogates for Solving the Diffusion Equation for Mechanistic Real-World Simulations
    J. Quetzalcóatl Toledo-Marín, Geoffrey Fox, James Patrick Sluka, James A. Glazier · 2021 · Frontiers in Physiology
88. Early warning signals of failures in building management systems
    José Joaquín Mesa-Jiménez, Lee Stokes, Qingping Yang, Valerie Livina · 2021 · International Journal of Metrology and Quality Engineering
89. ROBUST TOPOLOGY OPTIMIZATION USING MULTI-FIDELITY VARIATIONAL AUTOENCODERS
    Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani · 2024 · Journal of Machine Learning for Modeling and Computing
90. Conditional noise deep learning for parameter estimation of gravitational wave events
    Han-Shiang Kuo, Feng-Li Lin · 2022 · Physical review. D/Physical review. D.
91. An Innovation and Entrepreneurship Management System for Universities Based on Cluster Analysis Theory
    Zhao Wei-jie, Liang Fang · 2022 · Journal of Sensors · Retracted
92. Integrating unsupervised and reinforcement learning in human categorical perception: A computational model
    Giovanni Granato, Emilio Cartoni, Federico Da Rold, Andrea Mattera, Gianluca Baldassarre · 2022 · PLoS ONE
93. DeepGlobal: A framework for global robustness verification of feedforward neural networks
    Weidi Sun, Yuteng Lu, Xiyue Zhang, Meng Sun · 2022 · Journal of Systems Architecture
94. Exploring Model Inversion Attacks in the Black-box Setting
    Antreas Dionysiou, Vassilis Vassiliades, Elias Athanasopoulos · 2023 · Proceedings on Privacy Enhancing Technologies
95. AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution
    Luís Ferreira, Paulo Cesar Cortez · 2023 · Applied Soft Computing
96. Physics-Driven Probabilistic Deep Learning for the Inversion of Physical Models With Application to Phenological Parameter Retrieval From Satellite Times Series
    Yoël Zérah, Silvia Valero, Jordi Inglada · 2023 · IEEE Transactions on Geoscience and Remote Sensing
97. DiffDefense: Defending Against Adversarial Attacks via Diffusion Models
    Hondamunige Prasanna Silva, Lorenzo Seidenari, Alberto Del Bimbo · 2023 · Lecture notes in computer science
98. Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application
    Jiayu Wang, Le Yao, Weili Xiong · 2024 · IEEE Transactions on Instrumentation and Measurement
99. Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS
    Yeganeh M. Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül · 2024 · Nature Computational Science
100. Unsupervised learning of ferroic variants from atomically resolved STEM images
     Mani Valleti, Sergei V. Kalinin, Christopher T. Nelson, Jonathan J. P. Peters, Wen D. Dong, Richard Beanland, Xiaohang Zhang, Ichiro Takeuchi, Maxim A Ziatdinov · 2022 · AIP Advances