Carlo Lucibello

32 papers A* 5B 1Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems.
CoRR
Geri Skenderi, Lorenzo Buffoni, Francesco D'Amico, David Machado, Raffaele Marino, Matteo Negri, Federico Ricci-Tersenghi, Carlo Lucibello, Maria Chiara Angelini
2026 J jnl
Emergence of Distortions in High-Dimensional Guided Diffusion Models.
CoRR
Enrico Ventura, Beatrice Achilli, Luca Ambrogioni, Carlo Lucibello
2025 A* conf
Fast Uncovering of Protein Sequence Diversity from Structure.
ICLR
Luca Alessandro Silva, Barthélémy Meynard-Piganeau, Carlo Lucibello, Christoph Feinauer
2025 J jnl
GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia.
J. Mach. Learn. Res.
Carlo Lucibello, Aurora Rossi
2025 A* conf
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion.
ICLR
Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni
2025 J jnl
Sampling through Algorithmic Diffusion in non-convex Perceptron problems.
CoRR
Elizaveta Demyanenko, Davide Straziota, Carlo Baldassi, Carlo Lucibello
2024 J jnl
GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia.
CoRR
Carlo Lucibello, Aurora Rossi
2024 J jnl
Losing dimensions: Geometric memorization in generative diffusion.
CoRR
Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham, Gabriel Raya, Dmitry Krotov, Carlo Lucibello, Luca Ambrogioni
2024 J jnl
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion.
CoRR
Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni
2024 J jnl
Random Features Hopfield Networks generalize retrieval to previously unseen examples.
CoRR
Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri
2024 J jnl
The phase diagram of compressed sensing with ℓ
CoRR
Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023 J jnl
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery.
CoRR
Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023 B conf
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery.
ITW
Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023 J jnl
The Exponential Capacity of Dense Associative Memories.
CoRR
Carlo Lucibello, Marc Mézard
2023 J jnl
The Hidden-Manifold Hopfield Model and a learning phase transition.
CoRR
Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta
2023 J jnl
The star-shaped space of solutions of the spherical negative perceptron.
CoRR
Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti
2022 J jnl
Deep learning via message passing algorithms based on belief propagation.
Mach. Learn. Sci. Technol.
Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2022 J jnl
Interpretable pairwise distillations for generative protein sequence models.
PLoS Comput. Biol.
Christoph Feinauer, Barthélémy Meynard-Piganeau, Carlo Lucibello
2021 J jnl
Deep learning via message passing algorithms based on belief propagation.
CoRR
Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021 A* conf
Entropic gradient descent algorithms and wide flat minima.
ICLR
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina
2021 — conf
Reconstruction of Pairwise Interactions using Energy-Based Models.
MSML
Christoph Feinauer, Carlo Lucibello
2020 A* conf
Critical initialisation in continuous approximations of binary neural networks.
ICLR
George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White
2020 J jnl
Entropic gradient descent algorithms and wide flat minima.
CoRR
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina
2020 J jnl
Reconstruction of Pairwise Interactions using Energy-Based Models.
CoRR
Christoph Feinauer, Carlo Lucibello
2019 A* conf
Generalized Approximate Survey Propagation for High-Dimensional Estimation.
ICML
Carlo Lucibello, Luca Saglietti, Yue M. Lu
2019 J jnl
Generalized Approximate Survey Propagation for High-Dimensional Estimation.
CoRR
Luca Saglietti, Yue M. Lu, Carlo Lucibello
2019 J jnl
Signal propagation in continuous approximations of binary neural networks.
CoRR
George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White
2017 J jnl
On the role of synaptic stochasticity in training low-precision neural networks.
CoRR
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
2016 J jnl
One-loop diagrams in the Random Euclidean Matching Problem.
CoRR
Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro
2016 J jnl
Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles.
CoRR
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
2016 J jnl
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
Proc. Natl. Acad. Sci. USA
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
2014 J jnl
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem.
CoRR
Sergio Caracciolo, Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro