Home Events Calendar Turnpike Control and Deep Learning at IITK by E. Zuazua

Turnpike Control and Deep Learning at IITK by E. Zuazua

Next tuesday September 8th, our Head Enrique 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.

This 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 our team member Carlos Esteve, Borjan Geshkovski and Dario Pighin.

Tuesday September 8th, 2020 – 11:30H (Spain time)


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Tue 8th Sep 2020


11:30 am - 2:25 pm

Local Time

  • Timezone: America/New_York
  • Date: Tue 8th Sep 2020
  • Time: 5:30 am - 8:25 am

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  • Enrique Zuazua
    Enrique Zuazua
    Alexander von Humboldt Professorship | Head of the Chair of Computational Mathematics | Professor of Applied Mathematics

    Enrique Zuazua (Eibar, Basque Country – Spain, 1961) holds an Alexander von Humboldt Professorship at the Friedrich–Alexander University (FAU), Erlangen (Germany). He is also the Director of the Chair of Computational Mathematics at Deusto Foundation, Universidad de Deusto (Bilbao, Basque Country-Spain) where he leads the research team funded by the ERC Advanced Grant DyCoN project. He is also a Professor of Applied Mathematics since 2001 at the Department of Mathematics of the Autonomous University of Madrid where he holds a Strategic Chair.
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