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.