Dear all,

On Monday, December 1st, at 14h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host

Giovanni Luca Torrisi (CNR) with the seminar

"Posterior Bayesian Neural Networks with Dependent and Heavy-Tailed Weights”

Abstract: We consider fully connected and feedforward deep neural networks with dependent and possibly heavy-tailed weights. These networks have been introduced to alleviate the drawbacks due to a Gaussian initialization. In a Bayesian framework, when the likelihood is Gaussian, we identify the posterior distribution of the output in the sequential wide-width limit and, in the shallow case, we compute explicitly the posterior distribution of these models.
The talk is based on a joint work with Nicola Apollonio and Giovanni Franzina.

We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming:

Seminar Torrisi | Meeting-Join | Microsoft Teams

The seminar is part of the Excellence Project MatMod@TOV.