Search Results - "Bayesian autoencoder"

Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain MRI Analysis

Authors: Dip Roy

Identifying Anomalous Behavior in Aircraft Landing Trajectory Using a Bayesian Autoencoder

Authors: Yingxiao Kong Sankaran Mahadevan

Source: Journal of Aerospace Information Systems. 21:19-27

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis

Authors: Roy, Dip

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.15562

Variational Bayesian Autoencoder for Channel Compression and Feedback in Massive MIMO Systems

Authors: Xuanyu Zheng Yuanyuan Bi Huayan Guo et al.

Source: ICC 2023 - IEEE International Conference on Communications. :6349-6354

Variational Bayesian Autoencoder for Channel Compression and Feedback in Massive MIMO Systems

Authors: Zheng, Xuanyu Bi, Yuanyuan Guo, Huayan et al.

Index Terms: CSI compression, Conference paper

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-126887
https://doi.org/10.1109/ICC45041.2023.10278811
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1550-3607&rft.volume=2023-May&rft.issue=&rft.date=2023&rft.spage=6349&rft.aulast=Zheng&rft.aufirst=Xuanyu&rft.atitle=Variational+Bayesian+Autoencoder+for+Channel+Compression+and+Feedback+in+Massive+MIMO+Systems&rft.title=IEEE+International+Conference+on+Communications
http://www.scopus.com/record/display.url?eid=2-s2.0-85178308003&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001094862606078

Least Square Variational Bayesian Autoencoder with Regularization

Authors: Ramachandra, Gautam

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/1707.03134

Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features

Authors: Kaneharu Nishino Mary Inaba

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 30

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection

Authors: Tengfei Yang Yuansong Qiao Brian Lee

Source: IEEE Access, Vol 12, Pp 97004-97016 (2024)
IEEE Access

Subject Terms: Bayesian explanation, uncertainty quantification, explainability, aleatoric and epistemic uncertainties, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, Bayesian autoencoder, TK1-9971

Access URL: https://doaj.org/article/68d19046fec441b2af9adfeb613824ca

Code implementation of the Bayesian autoencoder from Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants

Authors: L. Mars Gao J. Nathan Kutz

Subject Terms: Applications in physical sciences, Artificial intelligence not elsewhere classified, Numerical solution of differential and integral equations, Ordinary differential equations, difference equations and dynamical systems, Partial differential equations, model discovery, dynamical systems, machine learning, Bayesian deep learning, Bayesian sparse inference, autoencoder

Availability: https://doi.org/10.6084/m9.figshare.25283455.v1
https://figshare.com/articles/dataset/Code_implementation_of_the_Bayesian_autoencoder_from_Bayesian_autoencoders_for_data-driven_discovery_of_coordinates_governing_equations_and_fundamental_constants/25283455

The filling-in function of the Bayesian AutoEncoder Network

Authors: Kaneharu Nishino Mary Inaba

Source: SPIE Proceedings. 10443:104431E

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Access URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10443/1/The-filling-in-function-of-the-Bayesian-AutoEncoder-Network/10.1117/12.2280931.full
http://ui.adsabs.harvard.edu/abs/2017SPIE10443E..1EN/abstract

Bayesian autoencoders for anomaly detection : design, uncertainty quantification, and explainability with industrial applications

Authors: Yong, Bang Xiang Brintrup, Alexandra

Contributors: Yong, Bang Xiang Brintrup, Alexandra

Subject Terms: anomaly detection, bayesian autoencoder, explainable ai, uncertainty quantification, unsupervised neural networks

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.871684

Bayesian Autoencoders for Drift Detection in Industrial Environments

Authors: Yong, BX Fathy, Y Brintrup, A et al.

Contributors: Yong, BX Fathy, Y Brintrup, A et al.

Source: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT. :627-631

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, uncertainty, sensors, Bayesian autoencoder, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/pdf/2107.13249
http://arxiv.org/abs/2107.13249
http://dblp.uni-trier.de/db/conf/metroi/metroi2020.html#YongFB20
https://ieeexplore.ieee.org/document/9138306/
https://arxiv.org/abs/2107.13249
https://dblp.uni-trier.de/db/journals/corr/corr2107.html#abs-2107-13249
https://arxiv.org/abs/2107.13249v1
http://export.arxiv.org/pdf/2107.13249
https://arxiv.org/pdf/2107.13249
http://ui.adsabs.harvard.edu/abs/2021arXiv210713249Y/abstract

Bayesian Autoencoder for Trigger-less Anomaly Detection

Authors: DI PRIMA, GIACOMO ZANETTI, MARCO

Contributors: DI PRIMA, GIACOMO ZANETTI, MARCO

Subject Terms: DeepLearning, ComputationalPhysics, AnomayDetection

File Description: application/pdf

Relation: Dipartimento di Fisica e Astronomia "Galileo Galilei" - DFA; PHYSICS OF DATA Laurea Magistrale (D.M. 270/2004); 2023; https://hdl.handle.net/20.500.12608/70126

Availability: https://hdl.handle.net/20.500.12608/70126

Towards trustworthy cybersecurity operations using Bayesian Deep Learning to improve uncertainty quantification of anomaly detection.

Authors: Yang, Tengfei Qiao, Yuansong Lee, Brian

Source: Computers & Security. Sep2024, Vol. 144, pN.PAG-N.PAG. 1p.

Subject Terms: ANOMALY detection (Computer security), DEEP learning, FALSE alarms, TRUST, INTERNET security, INTRUSION detection systems (Computer security)

Bayesian Autoencoder for Trigger-less Anomaly Detection

Authors: DI PRIMA, GIACOMO#idabnull

File Description: application/pdf

Access URL: https://hdl.handle.net/20.500.12608/70126

Drift detection methods for data streams ; Poikkeamien tunnistaminen aikasarjadatasta

Authors: Hakkarainen, Riina Keisala, Jukka Perustieteiden korkeakoulu et al.

Contributors: Hakkarainen, Riina Keisala, Jukka Perustieteiden korkeakoulu et al.

Subject Terms: drift detection, anomaly detection, regression, Bayesian autoencoder, statistical tests

File Description: 48 + 6; application/pdf

Relation: https://aaltodoc.aalto.fi/handle/123456789/120924

Availability: https://aaltodoc.aalto.fi/handle/123456789/120924

Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes

Authors: Tran, Ba-Hien Shahbaba, Babak Mandt, Stephan et al.

Index Terms: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2302.04534

Bayesian Autoencoders for Drift Detection in Industrial Environments

Authors: Yong, BX Fathy, Y Brintrup, A

Index Terms: uncertainty, Bayesian autoencoder, deep learning, sensors, Conference Object

URL: https://www.repository.cam.ac.uk/handle/1810/326149

Revisiting Bayesian Autoencoders with MCMC

Authors: Chandra, Rohitash Jain, Mahir Maharana, Manavendra et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Applications, text

URL: http://arxiv.org/abs/2104.05915

Fast and precise single-cell data analysis using a hierarchical autoencoder.

Authors: Tran, Duc Nguyen, Hung Tran, Bang et al.

Source: Nature Communications; 2/15/2021, Vol. 12 Issue 1, p1-10, 10p

Subject Terms: CELL separation, RNA sequencing, DATA analysis, CELL analysis, GENES, MISSING data (Statistics)