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Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler

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dc.contributor.authorGoemaere, Cedric
dc.contributor.authorDeleu, Johannes
dc.contributor.authorDemeester, Thomas
dc.contributor.imecauthorGoemaere, Cedric
dc.contributor.imecauthorDeleu, Johannes
dc.contributor.imecauthorDemeester, Thomas
dc.contributor.orcidimecDeleu, Johannes::0000-0001-8277-2415
dc.contributor.orcidimecDemeester, Thomas::0000-0002-9901-5768
dc.date.accessioned2025-08-18T10:01:57Z
dc.date.available2024-12-01T23:12:01Z
dc.date.available2024-12-02T11:17:39Z
dc.date.available2025-08-18T10:01:57Z
dc.date.embargo9999-12-31
dc.date.issued2024
dc.description.wosFundingTextThis research was funded by the Research Foundation -Flanders (FWO-Vlaanderen) through CG's PhD Fellowship fundamental research with grant number 11PR824N, and the research project fundamental research G0C2723N.
dc.identifier.issn2640-3498
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44883
dc.publisherJMLR-JOURNAL MACHINE LEARNING RESEARCH
dc.source.conference1st ECAI Workshop on Machine Learning Meets Differential Equations (ML-DE) - From Theory to Applications
dc.source.conferencedateOCT 20, 2024
dc.source.conferencelocationSantiago de Compostela
dc.source.journalProceedings of Machine Learning Research
dc.source.numberofpages21
dc.source.volume255
dc.subject.keywordsDISCRETE-TIME
dc.title

Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler

dc.typeProceedings paper
dspace.entity.typePublication
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