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dc.contributor.authorCharvin, Hippolyte
dc.contributor.authorCatenacci Volpi, Nicola
dc.contributor.authorPolani, Daniel
dc.date.accessioned2024-03-25T13:02:59Z
dc.date.available2024-03-25T13:02:59Z
dc.date.issued2022-11-21
dc.identifier.citationCharvin , H , Catenacci Volpi , N & Polani , D 2022 , ' Successive Refinement and Coarsening of the Information Bottleneck ' , Paper presented at NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems , New Orleans , United States , 3/12/22 - 3/12/22 pp. 1-8 .
dc.identifier.citationworkshop
dc.identifier.otherORCID: /0000-0002-3233-5847/work/152250374
dc.identifier.urihttp://hdl.handle.net/2299/27485
dc.description.abstractWe study two central aspects of information processing in cognitive systems: one is the ability to incorporate fresh information to already learnt models; the other is the “trickling” of information through the many layers of a cognitive processing pipeline. We investigate the extent to which these specific structures of cognitive processing impact their informational optimal limits. To do so, we present mathematical characterisations and low-dimensional numerical examples, which explore formal properties of the Information Bottleneck method: namely, how it relates to successive refinement, and successive coarsening of information.en
dc.format.extent8
dc.format.extent1553230
dc.language.isoeng
dc.relation.ispartof
dc.subjectIncremental learning
dc.subjectInformation Bottleneck
dc.subjectSuccessive Refinement
dc.titleSuccessive Refinement and Coarsening of the Information Bottlenecken
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
dc.identifier.urlhttps://openreview.net/forum?id=n8SjRRQB5Q7
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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