Carlo Lucibello

32 papers A* 5B 1Journal 25Unranked 1

Year	Rank	Type	Title / 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