13 citations · 27 across the 4 of their papers we have counts for
4 papers
Maximally informative feature selection using Information Imbalance: Application to COVID-19 severity prediction
Romina Wild, Emanuela Sozio, Riccardo G. Margiotta +6
Clinical databases typically include, for each patient, many heterogeneous features, for example blood exams, the clinical history before the onset of the disease, the evolution of…
Attacks on Online Learners: a Teacher-Student Analysis
Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti
Machine learning models are famously vulnerable to adversarial attacks: small ad-hoc perturbations of the data that can catastrophically alter the model predictions. While a large…
Glassy dynamics on networks: local spectra and return probabilities
Riccardo Giuseppe Margiotta, Reimer Kühn, Peter Sollich
The slow relaxation and aging of glassy systems can be modelled as a Markov process on a simplified rough energy landscape: energy minima where the system tends to get trapped are…
Spectral properties of the trap model on sparse networks
Riccardo Giuseppe Margiotta, Reimer Kühn, Peter Sollich
One of the simplest models for the slow relaxation and aging of glasses is the trap model by Bouchaud and others, which represents a system as a point in configuration-space hoppin…