FGV EMAp Control and Machine Learning

On October 10, 2023 our Head Prof. Enrique Zuazua will talk on Control and Machine Learning organized by the FGV EMAp School of Applied Mathematics at Rio de Janeiro (Brazil).

Abstract. In this lecture we shall present some recent results on the interplay between control and Machine Learning, and more precisely, Supervised Learning, Universal Approximation and Normalizing flows.

We adopt the perspective of the simultaneous or ensemble control of systems of Residual Neural Networks (ResNets). Roughly, each item to be classified corresponds to a different initial datum for the Cauchy problem of the ResNets, leading to an ensemble of solutions to be driven to the corresponding targets, associated to the labels, by means of the same control. We present a genuinely nonlinear and constructive method, allowing to show that such an ambitious goal can be achieved, estimating the complexity of the control strategies. This property is rarely fulfilled by the classical dynamical systems in Mechanics and the very nonlinear nature of the activation function governing the ResNet dynamics plays a determinant role. It allows deforming half of the phase space while the other half remains invariant, a property that classical models in mechanics do not fulfill. The turnpike property is also analyzed in this context, showing that a suitable choice of the cost functional used to train the ResNet leads to more stable and robust dynamics.

WHEN
Tue. October 10, 2023 at 16:15H (local time).

WHERE
On-site: Praia de Botafogo, 190. Room 537
Online (Zoom): Meeting ID: 959 4976 5940

Check the program at the official page of the event