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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-4d6a0e7e466e151b0a886d2f027183c1@cmc.deusto.eus
DTSTART:20201125T080000Z
DTEND:20201125T090000Z
DTSTAMP:20201124T102600Z
CREATED:20201124
LAST-MODIFIED:20210527
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:HKSIAM Seminar: Turnpike Control and Deep Learning by Enrique Zuazua
DESCRIPTION:Worldwide. This wednesday November 25th. our Head Enrique Zuazua will be talking about Turnpike control and deep learning ( https://www.iitg.ac.in/maths/ext/adena2020/speakers.php#Turnpike_control_and_deep_learning )” in the Applied Mathematics Seminars for HKSIAM and Hong Kong Universities organized by HKSIAM – Hong Kong Society for Industrial and Applied Mathematics and the Department of Mathematics Hong Kong Baptist University.\nThe turnpike principle asserts that in long time horizons optimal control strategies are nearly of a steady state nature.In this lecture we shall survey on some recent results on this topic and present some its consequences on deep supervised learning.\nThis lecture is based on joint work with our team member Carlos Esteve, Borjan Geshkovski and Dario Pighin.\nWHEN?\nNovember 25, 2020 at 09:00H\nJoin this session via Zoom\nZoom meeting: 94708881860\n\nSee more details at the HKSIAM event page\n
URL:https://cmc.deusto.eus/events-calendar/hksiam-seminar-turnpike-control-and-deep-learning-by-enrique-zuazua/
CATEGORIES:Events Calendar,Events Calendar Past
LOCATION:Worldwide
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/2020/11/HKSIAM-seminar-header.png
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