Dear all,
On Thursday, November 2nd, at 15h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Adriano Barra (Università del Salento) with the seminar
"A walk in the statistical mechanics of neural networks”
Abstract: Purpose of this talk is twofold: in the first part, I will provide a statistical mechanical picture of shallow networks proving how learning in biological neural networks (e.g. in the Hopfield model) and standard machine learning via gradient descent (e.g. on the Boltzmann machine) ultimately convey the same information after training. This diminishes the gap in our understanding between biological and artificial information processing networks. In the second part of the talk, focusing on a toy model for the sake of simplicity, I will show how recent mathematical techniques, heavily based on Guerra's interpolation, are suitable to describe the emergent properties of this kind of networks.
We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: