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Bringing uncertainty quantification to the extreme-edge wit..:
Bonnet, Djohan
;
Hirtzlin, Tifenn
;
Majumdar, Atreya
...
Nature Communications. 14 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/s41467-023-43317-9
RT Journal T1
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41467-023-43317-9&Exemplar=1&LAN=DE A1 Bonnet, Djohan A1 Hirtzlin, Tifenn A1 Majumdar, Atreya A1 Dalgaty, Thomas A1 Esmanhotto, Eduardo A1 Meli, Valentina A1 Castellani, Niccolo A1 Martin, Simon A1 Nodin, Jean-François A1 Bourgeois, Guillaume A1 Portal, Jean-Michel A1 Querlioz, Damien A1 Vianello, Elisa PB Springer Science and Business Media LLC YR 2023 SN 2041-1723 JF Nature Communications VO 14 IS 1 LK http://dx.doi.org/https://doi.org/10.1038/s41467-023-43317-9 DO https://doi.org/10.1038/s41467-023-43317-9 SF ELIB - SuUB Bremen
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