Templin, Thomas http://orcid.org/0000-0001-5936-0009
Memarzadeh, Milad
Vinci, Walter
Lott, P Aaron
Akbari Asanjan, Ata
Alexiades Armenakas, Anthony
Rieffel, Eleanor
Funding for this research was provided by:
Ames Research Center (295670.01.22.21.11)
National Science Foundation (CCF-1918549)
Article Title: Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2023 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-03-23
Date Accepted: 2023-07-13
Online publication date: 2023-08-11