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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Sheaves as Topological Descriptors of Datasets
DTSTART:20220412T101500
DTEND:20220412T111500
DTSTAMP:20260921T101716Z
UID:c0acbcb2b0931068a69ac1a4b3a15187f60d76c51835c1756ddf087a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Nicolas Berkouk\, École Polytechnique Fédérale de Lausanne
 \nEver wondered why I keep talking about sheaves while being part of the 
 “applied” side of the group ? In this talk\, I will explain how (deriv
 ed) sheaf theory (after Kashiwara-Schapira) can be used as a theoretical f
 oundation for persistence theory (the algebraic theory associated to most 
 Topological Data Analysis constructions). If time permits\, I will also ex
 plain how taking this point of view allows to define new computable topolo
 gical descriptors of datasets using…derived Grothendieck operations!
LOCATION:MA A3 30 https://plan.epfl.ch/?room==MA%20A3%2030
STATUS:CONFIRMED
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