Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes von Baldassi, Carlo, Borgs, Christian, Chayes, Jennifer T., Ingrosso, Alessandro, Lucibello, Carlo, Saglietti, Luca, Zecchina, Riccardo

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Local entropy as a measure for sampling solutions in constraint satisfaction problems von Baldassi, Carlo, Ingrosso, Alessandro, Lucibello, Carlo, Saglietti, Luca, Zecchina, Riccardo

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Role of Synaptic Stochasticity in Training Low-Precision Neural Networks von Baldassi, Carlo, Gerace, Federica, Kappen, Hilbert J, Lucibello, Carlo, Saglietti, Luca, Tartaglione, Enzo, Zecchina, Riccardo

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The twin peaks of learning neural networks von Demyanenko, Elizaveta, Feinauer, Christoph, Malatesta, Enrico M, Saglietti, Luca

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From statistical inference to a differential learning rule for stochastic neural networks von Saglietti, Luca, Gerace, Federica, Ingrosso, Alessandro, Baldassi, Carlo, Zecchina, Riccardo

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Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses von Baldassi, Carlo, Ingrosso, Alessandro, Lucibello, Carlo, Saglietti, Luca, Zecchina, Riccardo

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An analytical theory of curriculum learning in teacher–student networks This article was also accepted in NeurIPS2022 Proceedings von Saglietti, Luca, Mannelli, Stefano Sarao, Saxe, Andrew

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An analytical theory of curriculum learning in teacher-student networks von Saglietti, Luca, Mannelli, Stefano Sarao, Saxe, Andrew

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Star-Shaped Space of Solutions of the Spherical Negative Perceptron von Annesi, Brandon Livio, Lauditi, Clarissa, Lucibello, Carlo, Malatesta, Enrico M, Perugini, Gabriele, Pittorino, Fabrizio, Saglietti, Luca

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Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks von Sarao Mannelli, Stefano, Ivashynka, Yaraslau, Saxe, Andrew, Saglietti, Luca

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Magnetic Field Trapping in MgB Bulks and Inserts von Perini, E, Giunchi, G, Saglietti, L, Albisetti, A F, Matrone, A, Cavaliere, V

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Generalized approximate survey propagation for high-dimensional estimation von Saglietti, Luca, Lu, Yue M, Lucibello, Carlo

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Probing transfer learning with a model of synthetic correlated datasets von Gerace, Federica, Saglietti, Luca, Sarao Mannelli, Stefano, Saxe, Andrew, Zdeborová, Lenka

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Generalized approximate survey propagation for high-dimensional estimationThis article is an updated version of: Lucibello C, Saglietti L and Lu Y 2019 Generalized approximate surv... von Saglietti, Luca, Lu, Yue M, Lucibello, Carlo

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From inverse problems to learning: a Statistical Mechanics approach von Baldassi, Carlo, Gerace, Federica, Saglietti, Luca, Zecchina, Riccardo

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Large deviations of semisupervised learning in the stochastic block model von Cui, Hugo, Saglietti, Luca, Zdeborová, Lenka

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Learning may need only a few bits of synaptic precision von Baldassi, Carlo, Gerace, Federica, Lucibello, Carlo, Saglietti, Luca, Zecchina, Riccardo

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Magnetic Field Trapping in MgB2 Bulks and Inserts von PERINI, Elena, GIUNCHI, Giovanni, SAGLIETTI, Luca, FIGINI ALBISETTI, Alessandro, MATRONE, Antonio, CAVALIERE, Vincenzo

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Solvable Model for Inheriting the Regularization through Knowledge Distillation von Saglietti, Luca, Zdeborová, Lenka

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MgB2 Doping by Rare-Earth Metals and Borides von SAGLIETTI, Luca, PERINI, Elena, FIGINI ALBISETTI, Alessandro, RIPAMONTI, Giovanni, SCHIAVONE, Claudio, GIUNCHI, Giovanni

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