Variational Autoencoders using D-Wave Quantum Annealing
dc.contributor.author | Sleeman, Jennifer | |
dc.contributor.author | Halem, Milton | |
dc.date.accessioned | 2020-07-24T15:24:39Z | |
dc.date.available | 2020-07-24T15:24:39Z | |
dc.date.issued | 2018-12-13 | |
dc.description.uri | https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/464627 | en_US |
dc.format.extent | 5 pages | en_US |
dc.genre | posters | en_US |
dc.identifier | doi:10.13016/m2y1v5-n4qf | |
dc.identifier.citation | Jennifer Sleeman and Milton Halem, Variational Autoencoders using D-Wave Quantum Annealing, Walter E Washington Convention Center - eLightning Theater II, https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/464627 | en_US |
dc.identifier.uri | http://hdl.handle.net/11603/19235 | |
dc.language.iso | en_US | en_US |
dc.publisher | AGU Pubication | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.rights | © 2018. American Geophysical Union | |
dc.subject | deep learning algorithms | en_US |
dc.subject | D-Wave’s quantum annealer | en_US |
dc.subject | Restricted Boltzmann Machines (RBM) | en_US |
dc.subject | variational autoencoder | en_US |
dc.subject | UMBC Ebiquity Research Group | |
dc.title | Variational Autoencoders using D-Wave Quantum Annealing | en_US |
dc.type | Text | en_US |
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