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Carlo Lucibello
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2020 – today
- 2024
- [i17]Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri:
Random Features Hopfield Networks generalize retrieval to previously unseen examples. CoRR abs/2407.05658 (2024) - [i16]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
The phase diagram of compressed sensing with ℓ0-norm regularization. CoRR abs/2408.08319 (2024) - [i15]Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni:
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion. CoRR abs/2410.05898 (2024) - [i14]Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham, Gabriel Raya, Dmitry Krotov, Carlo Lucibello, Luca Ambrogioni:
Losing dimensions: Geometric memorization in generative diffusion. CoRR abs/2410.08727 (2024) - 2023
- [c5]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. ITW 2023: 323-328 - [i13]Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta:
The Hidden-Manifold Hopfield Model and a learning phase transition. CoRR abs/2303.16880 (2023) - [i12]Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová:
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery. CoRR abs/2304.12127 (2023) - [i11]Carlo Lucibello, Marc Mézard:
The Exponential Capacity of Dense Associative Memories. CoRR abs/2304.14964 (2023) - [i10]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 abs/2305.10623 (2023) - 2022
- [j3]Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. 3(3): 35005 (2022) - [j2]Christoph Feinauer, Barthélémy Meynard-Piganeau, Carlo Lucibello:
Interpretable pairwise distillations for generative protein sequence models. PLoS Comput. Biol. 18(6) (2022) - 2021
- [c4]Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. ICLR 2021 - [c3]Christoph Feinauer, Carlo Lucibello:
Reconstruction of Pairwise Interactions using Energy-Based Models. MSML 2021: 291-313 - [i9]Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. CoRR abs/2110.14583 (2021) - 2020
- [c2]George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White:
Critical initialisation in continuous approximations of binary neural networks. ICLR 2020 - [i8]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 abs/2006.07897 (2020) - [i7]Christoph Feinauer, Carlo Lucibello:
Reconstruction of Pairwise Interactions using Energy-Based Models. CoRR abs/2012.06625 (2020)
2010 – 2019
- 2019
- [c1]Carlo Lucibello, Luca Saglietti, Yue M. Lu:
Generalized Approximate Survey Propagation for High-Dimensional Estimation. ICML 2019: 4173-4182 - [i6]George Stamatescu, Federica Gerace, Carlo Lucibello, Ian G. Fuss, Langford B. White:
Signal propagation in continuous approximations of binary neural networks. CoRR abs/1902.00177 (2019) - [i5]Luca Saglietti, Yue M. Lu, Carlo Lucibello:
Generalized Approximate Survey Propagation for High-Dimensional Estimation. CoRR abs/1905.05313 (2019) - 2017
- [i4]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 abs/1710.09825 (2017) - 2016
- [j1]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): E7655-E7662 (2016) - [i3]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 abs/1605.06444 (2016) - [i2]Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro:
One-loop diagrams in the Random Euclidean Matching Problem. CoRR abs/1609.09310 (2016) - 2014
- [i1]Sergio Caracciolo, Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro:
A Scaling Hypothesis for the Euclidean Bipartite Matching Problem. CoRR abs/1402.6993 (2014)
Coauthor Index
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