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Tensor networks for active inference with discrete observation spaces

dc.contributor.authorWauthier, Samuel
dc.contributor.authorVanhecke, Bram
dc.contributor.authorVerbelen, Tim
dc.contributor.authorDhoedt, Bart
dc.date.accessioned2024-02-28T08:37:25Z
dc.date.available2022-11-28T10:02:42Z
dc.date.available2024-02-28T08:37:25Z
dc.date.issued2022
dc.identifier.issn/
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40796.2
dc.titleTensor networks for active inference with discrete observation spaces
dc.typeProceedings paper
dc.contributor.imecauthorWauthier, Samuel
dc.contributor.imecauthorVerbelen, Tim
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.orcidimecWauthier, Samuel::0000-0002-1967-2195
dc.contributor.orcidimecVerbelen, Tim::0000-0003-2731-7262
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.date.embargo2022-12-02
dc.source.numberofpages6
dc.source.peerreviewyes
dc.source.conferenceMachine Learning and the Physical Sciences workshop, part of NeurIPS2022, the 36th Conference on Neural Information Processing Systems
dc.source.conferencedate29/11-02/12/2022
dc.source.conferencelocationNew Orleans, USA
dc.source.journal/
imec.availabilityPublished - open access


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220.500.12860/40796.2*2024-02-28T08:36:13Zvalidation by library/open access desk
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