5 apr 2019 -- 11:00   [open in google calendar]

Aula Mancini, SNS

Abstract.

We consider certain approximation problems from machine learning as controllability questions for (stochastic) transport equations. H\"ormander conditions lead to new viewpoints on universal approximation theorems.