ENRICO MARIA MALATESTA
Courses a.y. 2022/2023
Enrico M. Malatesta graduated in theoretical physics at Sapienza University of Rome under the supervision of Giorgio Parisi in 2015.
He then got a PhD in physics at University of Milan in 2018, under joint supervision of Sergio Caracciolo and Giorgio Parisi. From 2018 to 2021 he was a post doc in the artificial intelligence lab in Bocconi University.
He is now an assistant professor in Bocconi University.
I am mainly interested in the statistical physics of disordered systems (i.e. spin glasses) and their interdisciplinary applications, ranging from constrained optimization problems, to machine learning and high dimensional statistics.
Learning through atypical "phase transitions'' in overparameterized neural networks
Unveiling the Structure of Wide Flat Minima in Neural Networks
PHYSICAL REVIEW LETTERS, 2021
Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations
PHYSICAL REVIEW LETTERS, 2019
Two-loop corrections to the large-order behavior of correlation functions in the one-dimensional N -vector model
PHYSICAL REVIEW D, 2020
Fluctuations in the random-link matching problem
PHYSICAL REVIEW. E, 2019
Exact value for the average optimal cost of the bipartite traveling salesman and two-factor problems in two dimensions
PHYSICAL REVIEW. E, 2018