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X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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DTSTART:20201012T103000Z
DTEND:20201012T113000Z
DTSTAMP:20201010T095200Z
CREATED:20201010
LAST-MODIFIED:20201010
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:ADENA 2020 – Turnpike control and deep learning
DESCRIPTION:Worldwide. This Monday October 12nd. 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 ADENA 2020 – International Conference on Advances in Differential Equations and Numerical Analysis organized the Department of Mathematics of the Indian Institute of Technology Guwahati.\nThe tunrpike 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 ( https://cmc.deusto.eus/carlos-esteve-yague/ ), Borjan Geshkovski ( https://cmc.deusto.eus/borjan-geshkovski/ ) and Dario Pighin ( https://cmc.deusto.eus/dario-pighin/ ).\nJoin this session via Microsoft Teams\nSee more details at the ADENA’s event page ADENA’s event page\n
URL:https://cmc.deusto.eus/events-calendar/adena-2020-turnpike-control-and-deep-learning/
CATEGORIES:Events Calendar
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