Alberto Fachechi

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Elena AgliariDipartimento di Matematica, Sapienza Università di RomaVerified email at uniroma1.it
Adriano BarraSapienza Università di RomaVerified email at roma1.infn.it
Matteo BeccariaProfessore Ordinario, Università del Salento, Dipartimento di Matematica e Fisica Ennio De GiorgiVerified email at le.infn.it
Guido MacoriniCNR Nanotec LecceVerified email at nbi.ku.dk
Orazio Antonio BarraProfessor of Physics, University of CalabriaVerified email at unical.it
Chiara MarulloDipartimento di Matematica, Sapienza Università di RomaVerified email at uniroma1.it
Martino S. CentonzeUniversity of BolognaVerified email at le.infn.it
Miriam AquaroSapienza Università di RomaVerified email at uniroma1.it
ELEONORA ALFINITODepartment of Mathematics and Physics, "Ennio De Giorgi" University of SalentoVerified email at unisalento.it
Linda AlbaneseUniversity of SalentoVerified email at unisalento.it
Luigi MartinaUniversità del SalentoVerified email at unisalento.it
Donatella Delle CaveIGB, CNRVerified email at igb.cnr.it
Enza LonardoGroup Leader, Institute of Genetics and BiophysicsVerified email at igb.cnr.it
Marta CavoNational Research Council (CNR), NANOTECVerified email at ieiit.cnr.it
Loretta L. del MercatoSenior Researcher, Nanotechnology Institute of CnrVerified email at nanotec.cnr.it
GIUSEPPE GIGLIUniversity of Salento, CNR Institute of Nanotechnology ( CNR NANOTEC) ; University of Salento.Verified email at unisalento.it
Riccardo RizzoInstitute of Nanotechnology (NANOTEC), National Research Council of Italy, Lecce (Italy)Verified email at nanotec.cnr.it
Anthony CoolenProfessor, Faculty of Science, Radboud UniversityVerified email at science.ru.nl
Francesco Alemanno

Alberto Fachechi

Sapienza Università di Roma, GNFM-INdAM

Verified email at uniroma1.it - Homepage

Neural Networks Machine Learning Complex Systems Statistical Mechanics Spin Glasses


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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	62	2019
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	53	2016
A new mechanical approach to handle generalized Hopfield neural networks A Barra, M Beccaria, A Fachechi Neural Networks 106, 205-222, 2018	49	2018
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	45	2020
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	36	2020
Generalized Guerra’s interpolation schemes for dense associative neural networks E Agliari, F Alemanno, A Barra, A Fachechi Neural Networks 128, 254-267, 2020	34	2020
Dreaming neural networks: rigorous results E Agliari, F Alemanno, A Barra, A Fachechi Journal of Statistical Mechanics: Theory and Experiment 2019 (8), 083503, 2019	23	2019
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	14	2022
Reactive immunization on complex networks E Alfinito, M Beccaria, A Fachechi, G Macorini Europhysics Letters 117 (1), 18002, 2017	11	2017
Nonlinear PDEs approach to statistical mechanics of dense associative memories E Agliari, A Fachechi, C Marullo Journal of Mathematical Physics 63 (10), 2022	8	2022
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	8	2017
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	8	2016
From Pavlov conditioning to Hebb learning E Agliari, M Aquaro, A Barra, A Fachechi, C Marullo Neural Computation 35 (5), 930-957, 2023	6	2023
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	5	2024
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	4	2021
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	4	2020
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	4	2019
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	3	2023

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