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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART;TZID=Europe/Berlin:20200828T100000
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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://dcn.nat.fau.eu/events/cmai-colloquium-turnpike-control-and-deep-learning-by-e-zuazua/
ORGANIZER;CN=CMAI:MAILTO:
CATEGORIES:EZuazua
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