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Machine Learning and Control Theory Research Cluster by E. Zuazua

On October 6th, our Head Enrique Zuazua will be talking about Machine Learning and Control Theory as a session organized by the DCII – Dedman College Interdisciplinary Institute‘ on the Research cluster programs this academic year 2020-2021.

Abstract. Multi-layer neural networks have been shown to be the most powerful models in machine learning. However, the fundamental reasons for this success remains not well understood and for that it will require mathematical tools and expertise. One of the most important mathematical tools that can be used to study neural networks is Control/Mean Field theory that deals with the behavior of dynamical systems with inputs, and how their behavior is modified by feedback. By this Cluster, we would like to create a forum for faculties and researchers at regional universities and companies working on this important topic.

Online registration for this session


The event is finished.


Tue 6th Oct 2020


8:00 pm - 9:00 pm

Local Time

  • Timezone: America/New_York
  • Date: Tue 6th Oct 2020
  • Time: 2:00 pm - 3:00 pm


Seminar | Talk (external)


DCII - Dedman College Interdisciplinary Institute


DCII - Dedman College Interdisciplinary Institute
Online registration


  • 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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