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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:20260329T030000
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DTSTART;TZID=Europe/Berlin:20200908T113000
DTEND;TZID=Europe/Berlin:20200908T143000
DTSTAMP:20211020T084650Z
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SUMMARY:Turnpike Control and Deep Learning at IITK by E. Zuazua
DESCRIPTION:Next Tuesday September 8th, our Head Enrique Zuazua ( https://dcn.nat.fau.eu/zuazua/ ) will present “Turnpike Control and Deep Learning” on the IITK research seminars organized by IITK- Indian Institute of Technology, Kanpur in collaboration with IISER-Kolkata, IISER-Pune, and TIFR-CAM.\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. This lecture is based on joint work 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/ ) from CCM Deusto.\nWHEN?\nTuesday September 8th, 2020 – 11:30H (Spain time)\nJOIN THIS SESSION by Zoom\nFind the complete schedule at IITK website\n\nGet the Official app at: \n \n
URL:https://dcn.nat.fau.eu/events/turnpike-control-and-deep-learning-at-iitk-by-e-zuazua/
CATEGORIES:EZuazua,Seminar/Talk
LOCATION:Worldwide
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/fields2ndsimpossium-Ezuazua-BGeshkovski-sep2020.png
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