Pietro Rotondo

According to our database, Pietro Rotondo authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime.

Paolo Baglioni, Christian Keup, Vincenzo Zimbardo, Rosalba Pacelli, Alessandro Vezzani, Raffaella Burioni, Pietro Rotondo

CoRR, May, 2026

2025

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

J. Mach. Learn. Res., 2025

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

Proportional infinite-width infinite-depth limit for deep linear neural networks.

Federico Bassetti, Lucia Ladelli, Pietro Rotondo

CoRR, 2024

2023

A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit.

Rosalba Pacelli, Sebastiano Ariosto, Mauro Pastore, Francesco Ginelli, Marco Gherardi, Pietro Rotondo

Nat. Mac. Intell., December, 2023

Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks.

Riccardo Aiudi, Rosalba Pacelli, Alessandro Vezzani, Raffaella Burioni, Pietro Rotondo

CoRR, 2023

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

2020

Beyond the storage capacity: data driven satisfiability transition.

Pietro Rotondo, Mauro Pastore, Marco Gherardi

CoRR, 2020

2019

Intrinsic dimension estimation for locally undersampled data.

Vittorio Erba, Marco Gherardi, Pietro Rotondo

CoRR, 2019

Counting the learnable functions of structured data.

Pietro Rotondo, Marco Cosentino Lagomarsino, Marco Gherardi

CoRR, 2019

2016

Measuring logic complexity can guide pattern discovery in empirical systems.

Marco Gherardi, Pietro Rotondo

Complex., 2016