An Introduction to Variational Autoencoders

Cited by (1,002)

Items 601–700 of 1,002

1. Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction
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2. An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection
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3. Improved XCT image automatic segmentation for quantitative characterization of the meso-morphological features in the damaged braided composite fabric
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4. From Latent Dynamics to Meaningful Representations
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5. Comprehensive Review of Privacy, Utility, and Fairness Offered by Synthetic Data
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7. Locally Masked Convolution for Autoregressive Models
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8. stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning
   Xin Lu, Murong Zhou, Bo Gao, Fang Wang, Shuilin Jin, Qiaoming Liu, Guohua Wang · 2025 · BMC Biology
9. Cultural Bias in Text-to-Image Models: A Systematic Review of Bias Identification, Evaluation, and Mitigation Strategies
   Wala Elsharif, Mahmood Saleh Alzubaidi, Marco Agus · 2025 · IEEE Access
10. FedGAN: Federated diabetic retinopathy image generation
    Hassan Kamran, Syed Jawad Hussain, Sohaib Latif, Imtiaz Ali Soomro, Mrim M. Alnfiai, Nouf Nawar Alotaibi · 2025 · PLoS ONE
11. GRANet: a graph residual attention network for gene regulatory network inference
    Junliang Zhou, Ningji Gong, Yanjun Hu, Hong Zhi Yu, Guoyin Wang, Hao Wu · 2025 · Briefings in Bioinformatics
12. Toward Sub-Surface Pore Prediction Capabilities for Laser Powder Bed Fusion Using Data Science
    Deniz Sera Ertay, Shima Kamyab, Mihaela Vlasea, Zohreh Azimifar, Thanh Ma, Allan D. Rogalsky, Paul Fieguth · 2021 · Journal of Manufacturing Science and Engineering
13. Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects
    Priyanka Dwivedi, Achintya Kumar Sarkar, Chinmay Chakraborty, Monoj Kumar Singha, Vineet Rojwal · 2021 · Journal of Experimental & Theoretical Artificial Intelligence
14. Probabilistic Modeling for Image Registration Using Radial Basis Functions: Application to Cardiac Motion Estimation
    Ziyu Gan, Wei Sun, Kaimin Liao, Xuan Yang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
15. Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers
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16. Generalized Normalizing Flows via Markov Chains
    Paul Hagemann, Johannes Hertrich, Gabriele Steidl · 2023 · Cambridge University Press eBooks
17. Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence
    Kai Liu, Hongbo Liu, Tao Wang, Guoqiang Hu, Tomas Emmanuel Ward, C. L. Philip Chen · 2023 · IEEE Transactions on Neural Networks and Learning Systems
18. Big-Volume SliceGAN for Improving a Synthetic 3D Microstructure Image of Additive-Manufactured TYPE 316L Steel
    Keiya Sugiura, Toshio Ogawa, Yoshitaka Adachi, Fei Sun, Asuka Suzuki, Akinori Yamanaka, Nobuo Nakada, Takuya Ishimoto, Takayoshi Nakano, Yuichiro Koizumi · 2023 · Journal of Imaging
19. Control Flow in Active Inference Systems—Part I: Classical and Quantum Formulations of Active Inference
    Chris Fields, Filippo Fabrocini, Karl John Friston, James F. Glazebrook, Hananel Hazan, Michael G. Levin, Antonino Marcianò · 2023 · IEEE Transactions on Molecular Biological and Multi-Scale Communications
20. Deep neural network-based reduced-order modeling of ion–surface interactions combined with molecular dynamics simulation
    Byungjo Kim, Jinkyu Bae, Hyunhak Jeong, Seung Ho Hahn, Suyoung Yoo, Sang Ki Nam · 2023 · Journal of Physics D Applied Physics
21. Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems Using Recurrent Inference Machines
    Alexandre Adam, Laurence Perreault-Levasseur, Yashar Hezaveh, Max Welling · 2023 · The Astrophysical Journal
22. Deep Learning-Based Meta-Modeling for Multi-Objective Technology Optimization of Electrical Machines
    Vivek Parekh, Dominik Flore, Sebastian Schöps · 2023 · IEEE Access
23. IF-TONIR: Iteration-free Topology Optimization based on Implicit Neural Representations
    Jiangbei Hu, Ying He, Baixin Xu, Shengfa Wang, Na Lei, Zhongxuan Luo · 2023 · Computer-Aided Design
24. Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation
    Lars Eike Kruse, Sebastian Kühl, Annika Dochhan, Stephan M. Pachnicke · 2023 · IEEE photonics journal
25. Deep learning for nano-photonic materials – The solution to everything!?
    Peter R. Wiecha · 2023 · Current Opinion in Solid State and Materials Science
26. American Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning
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27. This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
    Dimitrios E. Diamantis, Panagiota Gatoula, Anastasios Koulaouzidis, Dimitris K. Iakovidis · 2023 · IEEE Access
28. Fast Beam-Pointing Control Algorithms Based on Deep Learning Models for Moving Target in MWPT
    Dongping Xiao, Liangliang Tian, Lanxin Xu, Huaiqing Zhang, Xin Wang · 2024 · IEEE Transactions on Antennas and Propagation
29. CIT4DNN: Generating Diverse and Rare Inputs for Neural Networks Using Latent Space Combinatorial Testing
    Swaroopa Dola, Rory McDaniel, Matthew B. Dwyer, Mary Lou Soffa · 2024 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
30. Rigorous Experimental Analysis of Tabular Data Generated using TVAE and CTGAN
    Parul Yadav, Manish Gaur, Rahul Kumar Madhukar, Gaurav Verma, Pankaj Kumar, Nishat Fatima, Saqib Sarwar, Yash Raj Dwivedi · 2024 · International Journal of Advanced Computer Science and Applications
31. A foundation model enhanced approach for generative design in combinational creativity
    Liuqing Chen, Yuan E. Zhang, Ji Han, Lingyun Sun, Peter Childs, Boheng Wang · 2024 · Journal of Engineering Design
32. Combining time dependency and behavioral game: A Deep Markov Cognitive Hierarchy Model for human-like discretionary lane changing modeling
    Kehua Chen, Meixin Zhu, Lijun Sun, Hai Yang · 2024 · Transportation Research Part B Methodological
33. UMAP-SMOTENC: A simple, efficient, and consistent alternative for privacy-aware synthetic data generation
    Goncalo Almeida, Fernando Bação · 2024 · Knowledge-Based Systems
34. TOMAS: topology optimization of multiscale fluid flow devices using variational auto-encoders and super-shapes
    Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar · 2024 · Structural and Multidisciplinary Optimization
35. A Survey on Deep Learning for Design and Generation of Virtual Architecture
    Anqi Wang, Jiahua Dong, Lik‐Hang Lee, Jiachuan Shen, Pan Hui · 2024 · ACM Computing Surveys
36. A comprehensive review of gait analysis using deep learning approaches in criminal investigation
    Sai Thu Ya Aung, Worapan Kusakunniran · 2024 · PeerJ Computer Science
37. Application of machine learning in LC-MS-based non-targeted analysis
    Zhuo-Lin Jin, Lu Chen, Yu Wang, Chao-Ting Shi, Yan Zhou, Bing Xia · 2025 · TrAC Trends in Analytical Chemistry
38. Multi-objective deep learning: Taxonomy and survey of the state of the art
    Sebastian Peitz, Sèdjro Salomon Hotegni · 2025 · Machine Learning with Applications
39. Copula Guided Neural Topic Modelling for Short Texts
    Lihui Lin, Hongyu Jiang, Yanghui Rao · 2020 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
40. Population synthesis for urban resident modeling using deep generative models
    Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira · 2021 · Neural Computing and Applications
41. From observations to complexity of quantum states via unsupervised learning
    Markus Schmitt, Zala Lenarčič · 2022 · Physical review. B./Physical review. B
42. Adversarial autoencoder ensemble for fast and probabilistic reconstructions of few-shot photon correlation functions for solid-state quantum emitters
    Andrew H. Proppe, Kin Long Kelvin Lee, Cristian L. Cortes, Mari Saif, David B. Berkinsky, Tara Šverko, Weiwei Sun, James Cassidy, Mikhail A. Zamkov, Taehyung Kim et al. · 2022 · Physical review. B./Physical review. B
43. Deep learning for photovoltaic defect detection using variational autoencoders
    Edward J. Westraadt, Warren J. Brettenny, Chantelle M. Clohessy · 2023 · South African Journal of Science
44. Reweighted variational full-waveform inversions
    Wenlong Wang, George A. McMechan, Jianwei Ma · 2023 · Geophysics
45. Jarzynski-like equality of nonequilibrium information production based on quantum cross-entropy
    Akira Sone, Naoki Yamamoto, Tharon Holdsworth, Prineha Narang · 2023 · Physical Review Research
46. Experimental Investigation of Spectral Data Enhanced QoT Estimation
    Lars Eike Kruse, Sebastian Kühl, Annika Dochhan, Stephan M. Pachnicke · 2023 · Journal of Lightwave Technology
47. Fairness through Aleatoric Uncertainty
    Anique Tahir, Lu Cheng, Huan Liu · 2023 · ACM International Conference on Information and Knowledge Management (CIKM)
48. Anomaly Detection for Injection Molding Using Probabilistic Deep Learning
    Vili Ketonen, Jan Olaf Blech · 2021 · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
49. Adding machine learning to the polymer reaction engineering toolbox
    Kiarash Farajzadehahary, Shaghayegh Hamzehlou, Nicholas Ballard · 2025 · Progress in Polymer Science
50. A generative framework for enhancing drug target interaction prediction in drug discovery
    Roshan R. Kotkondawar, Sanjay R. Sutar, Arvind W. Kiwelekar, Vinod Jagannath Kadam, Shivajirao Manikrao Jadhav · 2025 · Scientific Reports
51. Speed-guided diffusion probabilistic model integrated with variational autoencoder for fault diagnosis under limited data
    Xuemei Liu, Kai Zhou, Min Xia, Chunsheng Yang, Yuejian Chen · 2025 · Mechanical Systems and Signal Processing
52. Neural Distributed Source Coding
    Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis · 2024 · IEEE Journal on Selected Areas in Information Theory
53. Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
    Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
54. Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection
    Hugo Gangloff, Minh‐Tan Pham, Luc Courtrai, Sébastien Lefèvre · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
55. A Diversified Attention Model for Interpretable Multiple Clusterings
    Liang-Rui Ren, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Xiangliang Zhang · 2022 · IEEE Transactions on Knowledge and Data Engineering
56. Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach *
    Arpan Biswas, Rama Krishnan Vasudevan, Maxim A Ziatdinov, Sergei V. Kalinin · 2023 · Machine Learning Science and Technology
57. iTabNet: an improved neural network for tabular data and its application to predict socioeconomic and environmental attributes
    Junmin Liu, Tian Tian, Yunxia Liu, Sufeng Hu, Mengyao Li · 2023 · Neural Computing and Applications
58. A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling
    Runyu Zhang, Yingjian Liu, Thomas Zheng, Sarah Eddin, Steve Nolet, Yi-Ling Liang, Shaghayegh Rezazadeh, Joseph Wilson, Hongbing Lu, Dong Qian · 2023 · Journal of Intelligent Manufacturing
59. Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification
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60. Separability, Contextuality, and the Quantum Frame Problem
    Chris Fields, James F. Glazebrook · 2023 · International Journal of Theoretical Physics
61. Analyzing Multimodal Probability Measures with Autoencoders
    Tony Lelièvre A, Thomas Pigeon, Gabriel Stoltz, Zhang Wei · 2024 · The Journal of Physical Chemistry B
62. VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning
    Daniel Marta, Simon Holk, Christian Pek, Jana Tůmová, Iolanda Leite · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
63. A clustering and graph deep learning-based framework for COVID-19 drug repurposing
    Chaarvi Bansal, Perinkulam Ravi Deepa, Vinti Agarwal, Rohitash Chandra · 2024 · Expert Systems with Applications
64. Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
    Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
65. Exceeding the limit for microscopic image translation with a deep learning-based unified framework
    Weixing Dai, Ivy H. M. Wong, Terence T. W. Wong · 2024 · PNAS Nexus
66. Interpretability and spatial efficacy of a deep-learning-based on-site early warning framework using explainable artificial intelligence and geographically weighted random forests
    Jawad Fayaz, Carmine Galasso · 2024 · Geoscience Frontiers
67. Convergence of Flow-Based Generative Models via Proximal Gradient Descent in Wasserstein Space
    Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie · 2024 · IEEE Transactions on Information Theory
68. Graph Embedding-Based Bayesian Network for Fault Isolation in Complex Equipment
    Liqiao Xia, Pai Zheng, Manuel Herrera, Yongshi Liang, Xinyu Li, Liang Gao · 2024 · IEEE Transactions on Reliability
69. Deep generative modeling of annotated bacterial biofilm images
    Angelina A. Holicheva, Konstantin S. Kozlov, Daniil A. Boiko, Maxim S. Kamanin, Daria V. Provotorova, Nikita I. Kolomoets, Valentine P. Ananikov · 2025 · npj Biofilms and Microbiomes
70. Integrating Deep Learning Derived Morphological Traits and Molecular Data for Total-Evidence Phylogenetics: Lessons from Digitized Collections
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71. Explainable Anomaly-Based Intrusion Detection for Specialized IoT Environments Enabled by Rule Extraction From Autoencoder
    Mingrui Fan, Jinxin Zuo, Jiangwen Zhu, Yueming Lu · 2025 · IEEE Internet of Things Journal
72. AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice
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73. Leveraging In Silico and Artificial Intelligence Models to Advance Drug Disposition and Response Predictions Across the Lifespan
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74. An unsupervised learning framework for marketneutral portfolio
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75. Unsupervised learning approaches to characterizing heterogeneous samples using X-ray single-particle imaging
    Yulong Zhuang, Salah Awel, Anton Barty, Richard Bean, Johan Bielecki, Martin Bergemann, Benedikt J. Daurer, Tomas Ekeberg, Armando D. Estillore, Hans Fangohr et al. · 2022 · IUCrJ
76. Deception for Cyber Defence: Challenges and Opportunities
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77. Learning Strategies for Sensitive Content Detection
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78. Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models
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79. Geometry-aware framework for deep energy method: An application to structural mechanics with hyperelastic materials
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80. Generative AI in Precision Nutrition: A Review of Current Developments and Future Directions
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81. Searching for Anomalies in the ZTF Catalog of Periodic Variable Stars
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82. Inferring colloidal interaction from scattering by machine learning
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83. Extracting interpretable features for time series analysis: A Bag-of-Functions approach
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84. Uncertainty-Based Feature Selection for Improved Adequacy of Dermoscopic Image Classification
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85. UAV Fault and Anomaly Detection Using Autoencoders
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86. Towards artificial intelligence-aided MIMO detection for 6G communication systems: A review of current trends, challenges and future directions
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87. Generating Daily Activities with Need Dynamics
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88. Deep clustering framework review using multicriteria evaluation
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89. Feature detection in guided wave ultrasound measurements using simulated spectrograms and generative machine learning
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90. FAVA: high-quality functional association networks inferred from scRNA-seq and proteomics data
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91. 3-D Vision and Intelligent Online Inspection in SMT Microelectronic Packaging: A Review
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92. Knowledge transfer accelerated turbine blade optimization via an sample-weighted variational autoencoder
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96. MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection
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97. Inhibitor_Mol_VAE: a variational autoencoder approach for generating corrosion inhibitor molecules
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98. A Deepfake Image Detection Method Based on a Multi-Graph Attention Network
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99. Re-ACGAN: Structural damage identification with class-imbalance reweighted ACGAN for data augmentation
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