An Introduction to Variational Autoencoders

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Items 301–400 of 1,002

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2. Symmetry meets AI
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3. Realistic generation of diffusion-weighted magnetic resonance brain images with deep generative models
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4. Uncertainty quantification in autoencoders predictions: Applications in aerodynamics
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5. Amortized Bayesian Model Comparison With Evidential Deep Learning
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7. The roles of computer-aided drug synthesis in drug development
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8. Variational Autoencoder-Based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines
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9. Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives
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10. MHD, disruptions and control physics: Chapter 4 of the special issue: on the path to tokamak burning plasma operation
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11. Insider threat prediction based on unsupervised anomaly detection scheme for proactive forensic investigation
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12. VASP: An autoencoder-based approach for multivariate anomaly detection and robust time series prediction with application in motorsport
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13. Machine learning-driven process of alumina ceramics laser machining
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14. Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
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15. Machine Learning Generation of Dynamic Protein Conformational Ensembles
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16. GAN-BiLSTM network for field-road classification on imbalanced GNSS recordings
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17. Variational autoencoders for 3D data processing
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18. Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation
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19. Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges
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20. Generative artificial intelligence and optimisation framework for concrete mixture design with low cost and embodied carbon dioxide
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21. Research on the Application Framework of Generative AI in Emergency Response Decision Support Systems for Emergencies
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22. A First Look at Generative Artificial Intelligence-Based Music Therapy for Mental Disorders
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23. Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
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24. Stabilizing invertible neural networks using mixture models
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25. Stock-Index Tracking Optimization Using Auto-Encoders
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26. Disentangling Ferroelectric Wall Dynamics and Identification of Pinning Mechanisms via Deep Learning
    Yongtao Liu, Roger B. Proksch, Chun Yin Wong, Maxim A Ziatdinov, Sergei V. Kalinin · 2021 · Advanced Materials
27. Learning to Simulate Daily Activities via Modeling Dynamic Human Needs
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28. Fully probabilistic deep models for forward and inverse problems in parametric PDEs
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29. RVE-PFL: Robust Variational Encoder-Based Personalized Federated Learning Against Model Inversion Attacks
    Wael Issa, Nour Moustafa, Benjamin Turnbull, Kim‐Kwang Raymond Choo · 2024 · IEEE Transactions on Information Forensics and Security
30. 3D‐Var data assimilation using a variational autoencoder
    Boštjan Melinc, Žiga Zaplotnik · 2024 · Quarterly Journal of the Royal Meteorological Society
31. Leveraging Variational Autoencoders for Parameterized MMSE Estimation
    Michael Baur, Benedikt Fesl, Wolfgang Utschick · 2024 · IEEE Transactions on Signal Processing
32. Multi-omics decodes host-specific and environmental microbiome interactions in sepsis
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33. Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables
    Sergei V. Kalinin, Kyle P. Kelley, Rama Krishnan Vasudevan, Maxim A Ziatdinov · 2021 · ACS Applied Materials & Interfaces
34. High-Fidelity Prediction of Megapixel Longitudinal Phase-Space Images of Electron Beams Using Encoder-Decoder Neural Networks
    Jun Zhu, Ye Chen, Frank Brinker, Winfried Decking, Sergey Tomin, H. Schlarb · 2021 · Physical Review Applied
35. Voxel-Based 3D Object Reconstruction from Single 2D Image Using Variational Autoencoders
    Rohan Tahir, Allah Bux Sargano, Zulfiqar Habib · 2021 · Mathematics
36. Deep Convolutional Autoencoders for Robust Flow Model Calibration Under Uncertainty in Geologic Continuity
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37. Towards a deep learning model for hadronization
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38. Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis
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39. VLAD: Task-agnostic VAE-based lifelong anomaly detection
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40. Feature engineering of EEG applied to mental disorders: a systematic mapping study
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41. Isotonic recalibration under a low signal-to-noise ratio
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42. Prior-guided generative adversarial network for mammogram synthesis
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43. Generative artificial intelligence in medical imaging: foundations, progress, and clinical translation
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44. Conditional Variational Autoencoder for Learned Image Reconstruction
    Chen Zhang, Riccardo Barbano, Bangti Jin · 2021 · Computation
45. Physics-informed deep learning for structural vibration identification and its application on a benchmark structure
    Minte Zhang, Tong Guo, Guodong Zhang, Zhongxiang Liu, Weijie Xu · 2023 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
46. Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models
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47. Tutorial on Diffusion Models for Imaging and Vision
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48. University students' perceptions on how generative artificial intelligence shape learning and research practices: A case study in Hong Kong
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49. Molecular representation learning: cross-domain foundations and future Frontiers
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50. Artificial intelligence for drug delivery: Yesterday, today and tomorrow
    Yiyang Wu, Nannan Wang, Ping Xiong, Ruifeng Wang, Jiayin Deng, Defang Ouyang · 2025 · Acta Pharmaceutica Sinica B
51. Semi-Supervised Source Localization with Deep Generative Modeling
    Michael J. Bianco, Sharon Gannot, Peter Gerstoft · 2020 · Machine learning for signal processing ...
52. Speech Source Separation Using Variational Autoencoder and Bandpass Filter
    Hao D., Son Thai Tran, Duc Thanh Chau · 2020 · IEEE Access
53. Toward a better monitoring statistic for profile monitoring via variational autoencoders
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54. Efficient Out-of-Distribution Detection Using Latent Space of β -VAE for Cyber-Physical Systems
    Shreyas Ramakrishna, Zahra Rahiminasab, Gábor Karsai, Arvind Easwaran, Abhishek Kumar Dubey · 2022 · ACM Transactions on Cyber-Physical Systems
55. Quantitative Comparison of Point Cloud Compression Algorithms With PCC Arena
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56. RepPVConv: attentively fusing reparameterized voxel features for efficient 3D point cloud perception
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57. Learning-Based Bending Stiffness Parameter Estimation by a Drape Tester
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58. Deep Learning in Single-cell Analysis
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59. Improving the prediction of extreme wind speed events with generative data augmentation techniques
    M. Vega-Bayo, Jorge Pérez‐Aracil, L. Prieto-Godino, Sancho Salcedo‐Sanz · 2023 · Renewable Energy
60. Decoding the Relationship of Artificial Intelligence, Advertising, and Generative Models
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61. Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications
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62. Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
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63. From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health
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64. Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations
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65. Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering
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66. A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling
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67. PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
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68. Comparing the latent space of generative models
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69. Euclidpreparation
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70. Innovative Variational AutoEncoder for an End-to-End Communication System
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71. A deep learning latent variable model to identify children with autism through motor abnormalities
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72. VA + Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics
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74. Distributed physics informed neural network for data-efficient solution to partial differential equations
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75. RLGC: Reconstruction Learning Fusing Gradient and Content Features for Efficient Deepfake Detection
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76. Deep Learning Applied to Ligand-Based De Novo Drug Design
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77. LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge
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80. MTAD: Multiobjective Transformer Network for Unsupervised Multisensor Anomaly Detection
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81. Predictive sequence learning in the hippocampal formation
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82. Physics and chemistry from parsimonious representations: image analysis via invariant variational autoencoders
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84. Estimation of Bridge Girder Cumulative Displacement for Component Operational Warning Using Bayesian Neural Networks
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85. Graph Attention Networks over Edge Content-Based Channels
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86. Learning Scalable ℓ∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
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88. Unsupervised statistical concept drift detection for behaviour abnormality detection
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89. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
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98. Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder
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