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.
See more details at the ADENA’s event page ADENA’s event page
Enrique Zuazua Alexander von Humboldt Professorship | Head of the Chair of Computational Mathematics | Professor of Applied MathematicsEnrique ZuazuaAlexander 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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