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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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UID:MEC-3ed14dec416ac8e278f2375543bcf7da@cmc.deusto.eus
DTSTART:20200828T080000Z
DTEND:20200828T100000Z
DTSTAMP:20251031T213800Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:CMAI colloquium – Turnpike Control and Deep Learning by E. Zuazua
DESCRIPTION:This friday August 28th, our Head Enrique Zuazua will open the CMAI colloquium Fall 2020 with the first session “Turnpike Control and Deep Learning”, a lecture based on joint work ( https://cmc.deusto.eus/large-time-asymptotics-in-deep-learning/ ) with Carlos Esteve ( https://cmc.deusto.eus/carlos-esteve-yague/ ), Borjan Geshkovski ( https://cmc.deusto.eus/borjan-geshkovski/ ) and Dario Pighin, ( https://cmc.deusto.eus/dario-pighin/ ) team members at CCM Deusto.\nThis lecture by Enrique Zuazua presents the 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 colloquium organized by CMAI – Center for Mathematics and Artificial Intelligence has a complete schedule for this fall.\nYou can attend by Zoom:\nWHEN?\nFriday August 28, 2020 – 10H (Eastern time)\nJOIN THIS SESSION at Zoom\nOr joining the zoom meeting\nID of the meeting: 954 8656 9124\nPassword: 862575\n
URL:https://cmc.deusto.eus/events-calendar/cmai-colloquium-turnpike-control-and-deep-learning-by-e-zuazua/
ORGANIZER;CN=CMAI:MAILTO:
CATEGORIES:EZuazua
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