A Scaling Hypothesis for the Euclidean Bipartite Matching Problem. - Sergio Caracciolo; Carlo Lucibello; Giorgio Parisi; Gabriele Sicuro (CoRR, 2014)

Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. - Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Alessandro Ingrosso; Carlo Lucibello; Luca Saglietti; Riccardo Zecchina (CoRR, 2016)

One-loop diagrams in the Random Euclidean Matching Problem. - Carlo Lucibello; Giorgio Parisi; Gabriele Sicuro (CoRR, 2016)

Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. - Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Alessandro Ingrosso; Carlo Lucibello; Luca Saglietti; Riccardo Zecchina (Proc. Natl. Acad. Sci. USA, 2016)

On the role of synaptic stochasticity in training low-precision neural networks. - Carlo Baldassi; Federica Gerace; Hilbert J. Kappen; Carlo Lucibello; Luca Saglietti; Enzo Tartaglione; Riccardo Zecchina (CoRR, 2017)

Generalized Approximate Survey Propagation for High-Dimensional Estimation. - Carlo Lucibello; Luca Saglietti; Yue M. Lu (ICML, 2019)

Signal propagation in continuous approximations of binary neural networks. - George Stamatescu; Federica Gerace; Carlo Lucibello; Ian G. Fuss; Langford B. White (CoRR, 2019)

Critical initialisation in continuous approximations of binary neural networks. - George Stamatescu; Federica Gerace; Carlo Lucibello; Ian G. Fuss; Langford B. White (ICLR, 2020)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Enrico M. Malatesta; Gabriele Perugini; Carlo Baldassi; Matteo Negri; Elizaveta Demyanenko; Riccardo Zecchina (CoRR, 2020)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Gabriele Perugini; Carlo Baldassi; Elizaveta Demyanenko; Riccardo Zecchina (ICLR, 2021)

Reconstruction of Pairwise Interactions using Energy-Based Models. - Christoph Feinauer; Carlo Lucibello (MSML, 2021)

Deep learning via message passing algorithms based on belief propagation. - Carlo Lucibello; Fabrizio Pittorino; Gabriele Perugini; Riccardo Zecchina (Mach. Learn. Sci. Technol., 2022)

Interpretable pairwise distillations for generative protein sequence models. - Christoph Feinauer; Barthélémy Meynard-Piganeau; Carlo Lucibello (PLoS Comput. Biol., 2022)

Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. - Damien Barbier; Carlo Lucibello; Luca Saglietti; Florent Krzakala; Lenka Zdeborová (ITW, 2023)

The Hidden-Manifold Hopfield Model and a learning phase transition. - Matteo Negri; Clarissa Lauditi; Gabriele Perugini; Carlo Lucibello; Enrico M. Malatesta (CoRR, 2023)

Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. - Damien Barbier; Carlo Lucibello; Luca Saglietti; Florent Krzakala; Lenka Zdeborová (CoRR, 2023)

The Exponential Capacity of Dense Associative Memories. - Carlo Lucibello; Marc Mézard (CoRR, 2023)

The star-shaped space of solutions of the spherical negative perceptron. - Brandon Livio Annesi; Clarissa Lauditi; Carlo Lucibello; Enrico M. Malatesta; Gabriele Perugini; Fabrizio Pittorino; Luca Saglietti (CoRR, 2023)

Random Features Hopfield Networks generalize retrieval to previously unseen examples. - Silvio Kalaj; Clarissa Lauditi; Gabriele Perugini; Carlo Lucibello; Enrico M. Malatesta; Matteo Negri (CoRR, 2024)

The phase diagram of compressed sensing with ℓ0-norm regularization. - Damien Barbier; Carlo Lucibello; Luca Saglietti; Florent Krzakala; Lenka Zdeborová (CoRR, 2024)

Losing dimensions: Geometric memorization in generative diffusion. - Beatrice Achilli; Enrico Ventura; Gianluigi Silvestri; Bao Pham; Gabriel Raya; Dmitry Krotov; Carlo Lucibello; Luca Ambrogioni (CoRR, 2024)

GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia. - Carlo Lucibello; Aurora Rossi (CoRR, 2024)

Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion. - Enrico Ventura; Beatrice Achilli; Gianluigi Silvestri; Carlo Lucibello; Luca Ambrogioni (ICLR, 2025)

Fast Uncovering of Protein Sequence Diversity from Structure. - Luca Alessandro Silva; Barthélémy Meynard-Piganeau; Carlo Lucibello; Christoph Feinauer (ICLR, 2025)

Sampling through Algorithmic Diffusion in non-convex Perceptron problems. - Elizaveta Demyanenko; Davide Straziota; Carlo Baldassi; Carlo Lucibello (CoRR, 2025)