GHERARDI, MARCO
GHERARDI, MARCO
Dipartimento di Fisica Aldo Pontremoli
Learning to flock in open space by avoiding collisions and staying together
2026 M. Brambati, A. Celani, M. Gherardi, F. Ginelli
Mini-Uav e sensoristica miniaturizzata per il futuro del proximal sensing
2025 V. Giovenzana, A. Tugnolo, D. Tricella, M. Gherardi, D. Fracassetti, R. Guidetti, R. Beghi, F. Pedersini
K-operator for Modelling Neurodegeneration: Simulations, fMRI Application, Eigenvalue Analysis and Recurrence Plots
2025 S. Fazio, P. Ribino, F. Gasparini, N. Marwan, P. Fazio, M. Gherardi, M. Mannone
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers
2025 F. Bassetti, M. Gherardi, A. Ingrosso, M. Pastore, P. Rotondo
An autonomous UAV-based monitoring device for precision viticulture
2025 V. Giovenzana, A. Tugnolo, D. Tricella, F. Villa, M. Gherardi, D. Fracassetti, R. Guidetti, F. Pedersini, R. Beghi
Resolution of similar patterns in a solvable model of unsupervised deep learning with structured data
2024 A. Baroffio, P. Rotondo, M. Gherardi
Un sistema spettrale IoT per il monitoraggio della maturazione dell’uva: definizione di una strategia di rilevamento delle anomalie
2024 A. Tugnolo, F. Villa, H.M. Oliveira, R. Beghi, R. Guidetti, M. Gherardi, V. Giovenzana
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization
2024 S. Ciceri, L. Cassani, M. Osella, P. Rotondo, F. Valle, M. Gherardi
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
2023 R. Pacelli, S. Ariosto, M. Pastore, F. Ginelli, M. Gherardi, P. Rotondo
Universal mean field upper bound for the generalisation gap of deep neural networks
2022 S. Ariosto, R. Pacelli, F. Ginelli, M. Gherardi, P. Rotondo
Remote teaching data-driven physical modeling through a COVID-19 open-ended data challenge
2022 M. COSENTINO LAGOMARSINO, G. Pacifico, V. Firmano, E. Bella, P. Benzoni, J. Grilli, F. Bassetti, F. Capuani, P. Cicuta, M. Gherardi
A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells
2022 M. Russo, S. Pompei, A. Sogari, M. Corigliano, G. Crisafulli, A. Puliafito, S. Lamba, J. Erriquez, A. Bertotti, M. Gherardi, F. Di Nicolantonio, A. Bardelli, M. Cosentino Lagomarsino
Criticality and conformality in the random dimer model
2021 S. Caracciolo, R. Fabbricatore, M. Gherardi, R. Marino, G. Parisi, G. Sicuro
An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles
2021 R. Droghetti, N. Agier, G. Fischer, M. Gherardi, M. Cosentino Lagomarsino
Solvable model for the linear separability of structured data
2021 M. Gherardi
Random geometric graphs in high dimension
2020 V. Erba, S. Ariosto, M. Gherardi, P. Rotondo
Counting the learnable functions of geometrically structured data
2020 P. Rotondo, M.C. Lagomarsino, M. Gherardi
Statistical learning theory of structured data
2020 M. Pastore, P. Rotondo, V. Erba, M. Gherardi
Cooperative effects on the compaction of DNA fragments by the nucleoid protein H-NS and the crowding agent PEG probed by Magnetic Tweezers
2020 M. Cristofalo, C.A. Marrano, D. Salerno, R. Corti, V. Cassina, A. Mammola, M. Gherardi, B. Sclavi, M. Cosentino Lagomarsino, F. Mantegazza
Beyond the Storage Capacity: Data-Driven Satisfiability Transition
2020 P. Rotondo, M. Pastore, M. Gherardi