Hybrid deterministic/stochastic algorithm for large sets of rate equations. - Marco Gherardi; Thomas Jourdan; Solène Le Bourdiec; Guy Bencteux (Comput. Phys. Commun., 2012)

Evidence for soft bounds in Ubuntu package sizes and mammalian body masses. - Marco Gherardi; Salvatore Mandrà; Bruno Bassetti; Marco Cosentino Lagomarsino (Proc. Natl. Acad. Sci. USA, 2013)

Measuring logic complexity can guide pattern discovery in empirical systems. - Marco Gherardi; Pietro Rotondo (Complex., 2016)

Counting the learnable functions of structured data. - Pietro Rotondo; Marco Cosentino Lagomarsino; Marco Gherardi (CoRR, 2019)

Intrinsic dimension estimation for locally undersampled data. - Vittorio Erba; Marco Gherardi; Pietro Rotondo (CoRR, 2019)

Beyond the storage capacity: data driven satisfiability transition. - Pietro Rotondo; Mauro Pastore; Marco Gherardi (CoRR, 2020)

Solvable Model for the Linear Separability of Structured Data. - Marco Gherardi (Entropy, 2021)

Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation. - Simone Ciceri; Lorenzo Cassani; Pierre Pizzochero; Matteo Osella; Pietro Rotondo; Marco Gherardi (CoRR, 2023)

A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit. - R. Pacelli; Sebastiano Ariosto; Mauro Pastore; Francesco Ginelli; Marco Gherardi; Pietro Rotondo (Nat. Mac. Intell., 2023)

A Physics-Based View of Brain-Network Alteration in Neurological Disease. - Sofia Fazio; Patrizia Ribino; Francesca Gasparini; Norbert Marwan; Peppino Fazio; Marco Gherardi; Maria Mannone (HC@AIxIA, 2024)

Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers. - Federico Bassetti; Marco Gherardi; Alessandro Ingrosso; Mauro Pastore; Pietro Rotondo (CoRR, 2024)

Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization. - Simone Ciceri; Lorenzo Cassani; Matteo Osella; Pietro Rotondo; Filippo Valle; Marco Gherardi (Nat. Mac. Intell., 2024)

Learning to flock in open space by avoiding collisions and staying together. - Martino Brambati; Antonio Celani; Marco Gherardi; Francesco Ginelli (CoRR, 2025)