Carlo Lucibello

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Signal Recovery

Belief Propagation

Message Passing

Top Venues

Mach. Learn. Sci. Technol.

Publications

Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri
Random Features Hopfield Networks generalize retrieval to previously unseen examples. CoRR (2024)
D. Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. ITW (2023)
Carlo Lucibello, Marc Mézard
The Exponential Capacity of Dense Associative Memories. CoRR (2023)
Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti
The star-shaped space of solutions of the spherical negative perceptron. CoRR (2023)
D. Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. CoRR (2023)
Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta
The Hidden-Manifold Hopfield Model and a learning phase transition. CoRR (2023)
Christoph Feinauer, Barthélémy Meynard-Piganeau, Carlo Lucibello
Interpretable pairwise distillations for generative protein sequence models. PLoS Comput. Biol. 18 (6) (2022)
Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. 3 (3) (2022)
Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
Deep learning via message passing algorithms based on belief propagation. CoRR (2021)
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina
Entropic gradient descent algorithms and wide flat minima. ICLR (2021)
Christoph Feinauer, Carlo Lucibello
Reconstruction of Pairwise Interactions using Energy-Based Models. MSML (2021)
Christoph Feinauer, Carlo Lucibello
Reconstruction of Pairwise Interactions using Energy-Based Models. CoRR (2020)
George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White
Critical initialisation in continuous approximations of binary neural networks. ICLR (2020)
Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina
Entropic gradient descent algorithms and wide flat minima. CoRR (2020)
Luca Saglietti, Yue M. Lu, Carlo Lucibello
Generalized Approximate Survey Propagation for High-Dimensional Estimation. CoRR (2019)
Carlo Lucibello, Luca Saglietti, Yue M. Lu
Generalized Approximate Survey Propagation for High-Dimensional Estimation. ICML (2019)
George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White
Signal propagation in continuous approximations of binary neural networks. CoRR (2019)
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
On the role of synaptic stochasticity in training low-precision neural networks. CoRR (2017)
Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro
One-loop diagrams in the Random Euclidean Matching Problem. CoRR (2016)
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. CoRR (2016)
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. Proc. Natl. Acad. Sci. USA 113 (48) (2016)
Sergio Caracciolo, Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem. CoRR (2014)