dc.contributor.author | Doevenspeck, Jonas | |
dc.contributor.author | Vrancx, Peter | |
dc.contributor.author | Laubeuf, Nathan | |
dc.contributor.author | Mallik, Arindam | |
dc.contributor.author | Debacker, Peter | |
dc.contributor.author | Verkest, Diederik | |
dc.contributor.author | Lauwereins, Rudy | |
dc.contributor.author | Dehaene, Wim | |
dc.date.accessioned | 2023-08-10T08:21:27Z | |
dc.date.available | 2023-06-20T10:36:27Z | |
dc.date.available | 2023-08-10T08:21:27Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2161-4393 | |
dc.identifier.other | WOS:000722581703017 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41948.3 | |
dc.source | WOS | |
dc.title | Noise tolerant ternary weight deep neural networks for analog in-memory inference | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Doevenspeck, Jonas | |
dc.contributor.imecauthor | Vrancx, Peter | |
dc.contributor.imecauthor | Laubeuf, Nathan | |
dc.contributor.imecauthor | Mallik, Arindam | |
dc.contributor.imecauthor | Debacker, Peter | |
dc.contributor.imecauthor | Verkest, Diederik | |
dc.contributor.imecauthor | Lauwereins, Rudy | |
dc.contributor.imecauthor | Dehaene, Wim | |
dc.contributor.orcidimec | Vrancx, Peter::0000-0002-9876-3684 | |
dc.contributor.orcidimec | Debacker, Peter::0000-0003-3825-5554 | |
dc.contributor.orcidimec | Laubeuf, Nathan::0000-0002-1592-755X | |
dc.contributor.orcidimec | Mallik, Arindam::0000-0002-0742-9366 | |
dc.contributor.orcidimec | Verkest, Diederik::0000-0001-6567-2746 | |
dc.contributor.orcidimec | Lauwereins, Rudy::0000-0002-3861-0168 | |
dc.identifier.doi | 10.1109/IJCNN52387.2021.9533684 | |
dc.identifier.eisbn | 978-0-7381-3366-9 | |
dc.source.numberofpages | 8 | |
dc.source.peerreview | yes | |
dc.source.conference | International Joint Conference on Neural Networks (IJCNN) | |
dc.source.conferencedate | JUL 18-22, 2021 | |
dc.source.conferencelocation | Shenzhen | |
dc.source.journal | na | |
imec.availability | Published - imec | |