5 citations · 15 across the 17 of their papers we have counts for
3 papers · 1 filter
Sparse Representations, Inference and Learning
Clarissa Lauditi, Emanuele Troiani, Marc Mézard
In recent years statistical physics has proven to be a valuable tool to probe into large dimensional inference problems such as the ones occurring in machine learning. Statistical…
Gibbs Sampling the Posterior of Neural Networks
Giovanni Piccioli, Emanuele Troiani, Lenka Zdeborová
In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation i…
Asymptotic Characterisation of Robust Empirical Risk Minimisation Performance in the Presence of Outliers
Matteo Vilucchio, Emanuele Troiani, Vittorio Erba +1
We study robust linear regression in high-dimension, when both the dimension and the number of data points diverge with a fixed ratio , and study a data model that i…