Assistant Professor
Department of Computing Sciences
Courses a.y. 2025/2026
41001 MODERN APPLIED MACHINE LEARNING
I’m currently teaching Python programming courses at the Bachelor and MSc level, and Machine Learning courses at the Bachelor and PhD level.
Biographical note
I am an Assistant Professor of Computer Science at Bocconi University. I earned my PhD in Physics in 2015 from Sapienza University, under the supervision of Giorgio Parisi and Federico Ricci-Tersenghi. My research leverages analytical methods from statistical physics to deepen the theoretical understanding of machine learning and neural networks. I develop efficient, physics-inspired algorithms for learning, optimization, and inference.
Research interests
Neural Networks, Machine Learning, Statistical Inference, Disordered Systems, Statistical Physics, Combinatorial Optimization.
Selected Publications
Lucibello Carlo; Morone Flaviano; Rizzo Tommaso
One-dimensional disordered Ising models by replica and cavity methods
PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR AND SOFT MATTER PHYSICS, 2014
One-dimensional disordered Ising models by replica and cavity methods
PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR AND SOFT MATTER PHYSICS, 2014
Lucibello, Carlo; Ricci-Tersenghi, Federico
The statistical mechanics of random set packing and a generalization of the Karp-Sipser algorithm
INTERNATIONAL JOURNAL OF STATISTICAL MECHANICS, 2014
The statistical mechanics of random set packing and a generalization of the Karp-Sipser algorithm
INTERNATIONAL JOURNAL OF STATISTICAL MECHANICS, 2014
Maria Chiara Angelini; Carlo Lucibello; Giorgio Parisi; Federico Ricci-Tersenghi; Tommaso Rizzo
Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020
Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020
George Stamatescu; Federica Gerace; Carlo Lucibello; Ian Fuss; Langford White
Critical initialisation in continuous approximations of binary neural networks
International Conference on Learning Representations, 2020
Critical initialisation in continuous approximations of binary neural networks
International Conference on Learning Representations, 2020
Lucibello Carlo; Parisi Giorgio; Sicuro Gabriele
One-loop diagrams in the random Euclidean matching problem
PHYSICAL REVIEW. E, 2017
One-loop diagrams in the random Euclidean matching problem
PHYSICAL REVIEW. E, 2017
Lucibello Carlo; Morone Flaviano; Parisi Giorgio; Ricci-Tersenghi Federico; Rizzo Tommaso
Finite-size corrections to disordered Ising models on random regular graphs
PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR AND SOFT MATTER PHYSICS, 2014
Finite-size corrections to disordered Ising models on random regular graphs
PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR AND SOFT MATTER PHYSICS, 2014
Ferrari Ulisse.; Lucibello Carlo; Morone Flaviano; Parisi Giorgio; Ricci-Tersenghi Federico; Rizzo Tommaso
Finite-size corrections to disordered systems on Erdös-Rényi random graphs
PHYSICAL REVIEW. B, CONDENSED MATTER AND MATERIALS PHYSICS, 2013
Finite-size corrections to disordered systems on Erdös-Rényi random graphs
PHYSICAL REVIEW. B, CONDENSED MATTER AND MATERIALS PHYSICS, 2013
Lucibello, Carlo; Morone, Flaviano; Parisi, Giorgio; Ricci-Tersenghi, Federico; Rizzo, Tommaso
Anomalous finite size corrections in random field models
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, 2014
Anomalous finite size corrections in random field models
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, 2014
Sergio Caracciolo; Carlo Lucibello; Giorgio Parisi; Gabriele Sicuro
Scaling hypothesis for the Euclidean bipartite matching problem
PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, 2014
Scaling hypothesis for the Euclidean bipartite matching problem
PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS, 2014
Altieri Ada; Angelini Maria Chiara; Lucibello Carlo; Parisi Giorgio; Ricci-Tersenghi Federico; Rizzo Tommaso
Loop expansion around the Bethe approximation through the M-layer construction
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, 2017
Loop expansion around the Bethe approximation through the M-layer construction
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, 2017
Lucibello, Carlo; Saglietti, Luca; Lu, Yue
Generalized approximate survey propagation for high-dimensional estimation
Proceedings of Machine Learning Research. Vol. 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA, 2019
Generalized approximate survey propagation for high-dimensional estimation
Proceedings of Machine Learning Research. Vol. 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA, 2019
Feinauer, Christoph; Lucibello, Carlo
Reconstruction of pairwise interactions using Energy-Based Models
Proceedings of Machine Learning Research vol 145: 2nd Annual Conference on Mathematical and Scientific Machine Learning, Forthcoming
Reconstruction of pairwise interactions using Energy-Based Models
Proceedings of Machine Learning Research vol 145: 2nd Annual Conference on Mathematical and Scientific Machine Learning, Forthcoming
Ibáñez-Berganza, Miguel; Lucibello, Carlo; Santucci, Francesca; Gili, Tommaso; Gabrielli, Andrea
Noise cleaning the precision matrix of short time series
PHYSICAL REVIEW. E, 2023
Noise cleaning the precision matrix of short time series
PHYSICAL REVIEW. E, 2023
Lucibello, Carlo; Pittorino, Fabrizio; Perugini, Gabriele; Zecchina, Riccardo
Deep learning via message passing algorithms based on belief propagation
MACHINE LEARNING: SCIENCE AND TECHNOLOGY, 2022
Deep learning via message passing algorithms based on belief propagation
MACHINE LEARNING: SCIENCE AND TECHNOLOGY, 2022
Lucibello, Carlo; Mézard, Marc
Exponential capacity of dense associative memories
PHYSICAL REVIEW LETTERS, 2024
Exponential capacity of dense associative memories
PHYSICAL REVIEW LETTERS, 2024
Ibáñez-Berganza, Miguel; Lucibello, Carlo; Mariani, Luca; Pezzulo, Giovanni
Information-theoretical analysis of the neural code for decoupled face representation
PLOS ONE, 2024
Information-theoretical analysis of the neural code for decoupled face representation
PLOS ONE, 2024
Gabrié, Marylou; Ganguli, Surya; Lucibello, Carlo; Zecchina, Riccardo
Neural networks: from the perceptron to deep nets
Spin glass theory and far beyond : replica symmetry breaking after 40 years, 2023
Neural networks: from the perceptron to deep nets
Spin glass theory and far beyond : replica symmetry breaking after 40 years, 2023
Feinauer, Christoph; Meynard-Piganeau, Barthelemy; Lucibello, Carlo
Interpretable pairwise distillations for generative protein sequence models
PLOS COMPUTATIONAL BIOLOGY, 2022
Interpretable pairwise distillations for generative protein sequence models
PLOS COMPUTATIONAL BIOLOGY, 2022
Angelini, Maria Chiara; Lucibello, Carlo; Parisi, Giorgio; Perrupato, Gianmarco; Ricci-Tersenghi, Federico; Rizzo, Tommaso
Unexpected upper critical dimension for spin glass models in a field predicted by the loop expansion around the Bethe solution at zero temperature
PHYSICAL REVIEW LETTERS, 2022
Unexpected upper critical dimension for spin glass models in a field predicted by the loop expansion around the Bethe solution at zero temperature
PHYSICAL REVIEW LETTERS, 2022