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Noise tolerant ternary weight deep neural networks for analog in-memory inference

 
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dc.contributor.authorDoevenspeck, Jonas
dc.contributor.authorVrancx, Peter
dc.contributor.authorLaubeuf, Nathan
dc.contributor.authorMallik, Arindam
dc.contributor.authorDebacker, Peter
dc.contributor.authorVerkest, Diederik
dc.contributor.authorLauwereins, Rudy
dc.contributor.authorDehaene, Wim
dc.contributor.imecauthorDoevenspeck, Jonas
dc.contributor.imecauthorVrancx, Peter
dc.contributor.imecauthorLaubeuf, Nathan
dc.contributor.imecauthorMallik, Arindam
dc.contributor.imecauthorDebacker, Peter
dc.contributor.imecauthorVerkest, Diederik
dc.contributor.imecauthorLauwereins, Rudy
dc.contributor.imecauthorDehaene, Wim
dc.contributor.orcidimecVrancx, Peter::0000-0002-9876-3684
dc.contributor.orcidimecDebacker, Peter::0000-0003-3825-5554
dc.contributor.orcidimecLaubeuf, Nathan::0000-0002-1592-755X
dc.contributor.orcidimecMallik, Arindam::0000-0002-0742-9366
dc.contributor.orcidimecVerkest, Diederik::0000-0001-6567-2746
dc.contributor.orcidimecLauwereins, Rudy::0000-0002-3861-0168
dc.date.accessioned2023-08-10T08:21:27Z
dc.date.available2023-06-20T10:36:27Z
dc.date.available2023-08-10T08:21:27Z
dc.date.issued2021
dc.identifier.doi10.1109/IJCNN52387.2021.9533684
dc.identifier.eisbn978-0-7381-3366-9
dc.identifier.issn2161-4393
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41948
dc.publisherIEEE
dc.source.conferenceInternational Joint Conference on Neural Networks (IJCNN)
dc.source.conferencedateJUL 18-22, 2021
dc.source.conferencelocationShenzhen
dc.source.journalna
dc.source.numberofpages8
dc.title

Noise tolerant ternary weight deep neural networks for analog in-memory inference

dc.typeProceedings paper
dspace.entity.typePublication
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