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Alberto Fachechi
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Dreaming neural networks: forgetting spurious memories and reinforcing pure ones
A Fachechi, E Agliari, A Barra
Neural Networks 112, 24-40, 2019
622019
Virasoro vacuum block at next-to-leading order in the heavy-light limit
M Beccaria, A Fachechi, G Macorini
Journal of High Energy Physics 2016 (2), 1-22, 2016
532016
A new mechanical approach to handle generalized Hopfield neural networks
A Barra, M Beccaria, A Fachechi
Neural Networks 106, 205-222, 2018
492018
Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers
E Agliari, A Barra, OA Barra, A Fachechi, L Franceschi Vento, L Moretti
Scientific Reports 10 (1), 8845, 2020
452020
Neural networks with a redundant representation: Detecting the undetectable
E Agliari, F Alemanno, A Barra, M Centonze, A Fachechi
Physical review letters 124 (2), 028301, 2020
362020
Generalized Guerra’s interpolation schemes for dense associative neural networks
E Agliari, F Alemanno, A Barra, A Fachechi
Neural Networks 128, 254-267, 2020
342020
Dreaming neural networks: rigorous results
E Agliari, F Alemanno, A Barra, A Fachechi
Journal of Statistical Mechanics: Theory and Experiment 2019 (8), 083503, 2019
232019
A transport equation approach for deep neural networks with quenched random weights
E Agliari, L Albanese, F Alemanno, A Fachechi
Journal of Physics A: Mathematical and Theoretical 54 (50), 505004, 2021
15*2021
Outperforming RBM feature-extraction capabilities by “dreaming” mechanism
A Fachechi, A Barra, E Agliari, F Alemanno
IEEE transactions on neural networks and learning systems 35 (1), 1172-1181, 2022
142022
Reactive immunization on complex networks
E Alfinito, M Beccaria, A Fachechi, G Macorini
Europhysics Letters 117 (1), 18002, 2017
112017
Nonlinear PDEs approach to statistical mechanics of dense associative memories
E Agliari, A Fachechi, C Marullo
Journal of Mathematical Physics 63 (10), 2022
82022
Chiral trace relations in Ω-deformed N = 2 theories
M Beccaria, A Fachechi, G Macorini
Journal of High Energy Physics 2017 (5), 1-37, 2017
82017
Exact partition functions for deformed theories with flavours
M Beccaria, A Fachechi, G Macorini, L Martina
Journal of High Energy Physics 2016 (12), 1-41, 2016
82016
From Pavlov conditioning to Hebb learning
E Agliari, M Aquaro, A Barra, A Fachechi, C Marullo
Neural Computation 35 (5), 930-957, 2023
62023
Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting
E Agliari, F Alemanno, M Aquaro, A Fachechi
Neural Networks 177, 106389, 2024
52024
PDE/Statistical Mechanics Duality: Relation Between Guerra’s Interpolated p-Spin Ferromagnets and the Burgers Hierarchy
A Fachechi
Journal of Statistical Physics 183 (1), 12, 2021
42021
The relativistic Hopfield model with correlated patterns
E Agliari, A Fachechi, C Marullo
Journal of Mathematical Physics 61 (12), 2020
4*2020
Interpolating between Boolean and extremely high noisy patterns through minimal dense associative memories
F Alemanno, M Centonze, A Fachechi
Journal of Physics A: Mathematical and Theoretical 53 (7), 074001, 2020
42020
On the Marchenko–Pastur law in analog bipartite spin-glasses
E Agliari, F Alemanno, A Barra, A Fachechi
Journal of Physics A: Mathematical and Theoretical 52 (25), 254002, 2019
42019
Quantifying heterogeneity to drug response in cancer–stroma kinetics
F Alemanno, M Cavo, D Delle Cave, A Fachechi, R Rizzo, E D’Amone, ...
Proceedings of the National Academy of Sciences 120 (11), e2122352120, 2023
32023
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