CMAI colloquium – Turnpike Control and Deep Learning
This friday August 28th, our Head Enrique Zuazua will open the CMAI colloquium Fall 2020 with the first session “Turnpike Control and Deep Learning”, a lecture based on joint work with our team member Carlos Esteve, Borjan Geshkovski and Dario Pighin.
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 colloquium organized by CMAI – Center for Mathematics and Artificial Intelligence has a complete schedule for this fall.
You can attend by Zoom:
Friday August 28, 2020 – 10H (Eastern time)