Home Events Calendar ADENA 2020 – Turnpike control and deep learning

ADENA 2020 – Turnpike control and deep learning

Worldwide. This Monday October 12nd. our Head Enrique Zuazua will be talking about “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.

The 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.

This lecture is based on joint work with our team member Carlos Esteve, Borjan Geshkovski and Dario Pighin.

Join this session via Microsoft Teams

See more details at the ADENA’s event page ADENA’s event page

The event is finished.


Mon 12th Oct 2020


12:30 pm - 1:30 pm

Local Time

  • Timezone: America/New_York
  • Date: Mon 12th Oct 2020
  • Time: 6:30 am - 7:30 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.
    more about Enrique

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