no code implementations • 15 May 2018 • Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová
An algorithmically hard phase was described in a range of inference problems: even if the signal can be reconstructed with a small error from an information theoretic point of view, known algorithms fail unless the noise-to-signal ratio is sufficiently small.
1 code implementation • 31 Jan 2019 • Silvio Franz, Federico Ricci-Tersenghi, Jacopo Rocchi
We propose a new algorithm to learn the network of the interactions of pairwise Ising models.
Disordered Systems and Neural Networks
no code implementations • 5 Oct 2020 • Silvio Franz, Antonio Sclocchi, Pierfrancesco Urbani
This algorithm allows to "surf" between isostatic marginally stable configurations and to investigate some properties of such landscape.
Disordered Systems and Neural Networks Statistical Mechanics
no code implementations • 15 Feb 2024 • Fabián Aguirre-López, Silvio Franz, Mauro Pastore
Random features models play a distinguished role in the theory of deep learning, describing the behavior of neural networks close to their infinite-width limit.