Alberto Fachechi

Publications & related stuff

Summary of scientific production

Some useful metrics:

Total number of published papers	28
Total number of citations	432
\(h\)-index	10
\(i10\)-index	10

For further informations, see my GoogleScholar page.

Full list of publications

The thermodynamic limit in mean field neural networks

Elena Agliari, Adriano Barra, Pierluigi Bianco, A Fachechi, Diego Pallara

arXiv preprint arXiv:2409.10145

Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines

A Fachechi, E Agliari, M Aquaro, A Coolen, M Mulder

arXiv preprint arXiv:2406.09924

Replica method for computational problems with randomness: principles and illustrations

J Steinberg, U Adomaityte, A Fachechi, P Mergny, D Barbier and R Monasson

Journal of Statistical Mechanics: Theory and Experiment 2024, 104002 (2024)
Lectures by R Monasson given at the summer school 'Statistical Physics & Machine Learning', which was organised by F Krzakala and L Zdeborova and took place in Les Houches School of Physics in France from 4 to 29 July 2022.

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)

A spectral approach to Hebbian-like neural networks

E Agliari, A Fachechi, D Luongo

Applied Mathematics and Computation 474, 128689 (2024)

From Pavlov conditioning to Hebb learning

E Agliari, M Aquaro, A Barra, A Fachechi, C Marullo

Neural Computation 35 (5), 930-957 (2023)

Quantifying heterogeneity to drug response in cancer–stroma kinetics

F Alemanno, M Cavo, D Delle Cave, A Fachechi, R Rizzo, E D’Amone, G Gigli, E Lonardo, A Barra, L L Del Mercato

Proceedings of the National Academy of Sciences 120 (11), e2122352120 (2023)

Nonlinear PDEs approach to statistical mechanics of dense associative memories

E Agliari, A Fachechi, C Marullo

Journal of Mathematical Physics 63 (10) (2022)

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)

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)

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)

The relativistic Hopfield model with correlated patterns

E Agliari, A Fachechi, C Marullo

Journal of Mathematical Physics 61 (12) (2020)

Analysis of temporal correlation in heart rate variability through maximum entropy principle in a minimal pairwise glassy model

E Agliari, F Alemanno, A Barra, OA Barra, A Fachechi, LF Vento, L Moretti

Scientific Reports 10 (1), 15353 (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)

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)

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)

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)

Dreaming neural networks: rigorous results

E Agliari, F Alemanno, A Barra, A Fachechi

Journal of Statistical Mechanics: Theory and Experiment 2019 (8), 083503 (2019)

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)

Dreaming neural networks: forgetting spurious memories and reinforcing pure ones

A Fachechi, E Agliari, A Barra

Neural Networks 112, 24-40 (2019)

A new mechanical approach to handle generalized Hopfield neural networks

A Barra, M Beccaria, A Fachechi

Neural Networks 106, 205-222 (2018)

Chiral Trace Relations in \(\mathcal N=2^*\) Supersymmetric Gauge Theories

A Fachechi, G Macorini, M Beccaria

Theoretical and Mathematical Physics 196 (3), 1282-1293 (2018)

An evolutionary game model for behavioral gambit of loyalists: Global awareness and risk-aversion

E Alfinito, A Barra, M Beccaria, A Fachechi, G Macorini

Europhysics Letters 121 (3), 38001 (2018)

Chiral trace relations in \(\Omega\)-deformed \(\mathcal N= 2\) theories

A Fachechi, G Macorini, M Beccaria

Journal of Physics: Conference Series 965 (1), 012013 (2018)

Chiral trace relations in \(\Omega\)-deformed \(\mathcal N = 2\) theories

M Beccaria, A Fachechi, G Macorini

Journal of High Energy Physics 2017 (5), 1-37 (2017)

Reactive immunization on complex networks

E Alfinito, M Beccaria, A Fachechi, G Macorini

Europhysics Letters 117 (1), 18002 (2017)

Probing complexity with epidemics: a new reactive immunization strategy

E Alfinito, M Beccaria, A Fachechi, G Macorini

COMPLEXIS 2017, 2nd International Conference on Complexity, Future Information Systems and Risk 1, 116-123 (2017)

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Exact partition functions for \(\Omega\)-deformed \(\mathcal N=2\) theories with \(N_f=4\) flavours

M Beccaria, A Fachechi, G Macorini, L Martina

Journal of High Energy Physics 2016 (12), 1-41 (2016)

On the cusp anomalous dimension in the ladder limit of \(N=4\) SYM

M Beccaria, A Fachechi, G Macorini

Journal of High Energy Physics 2016 (6), 1-21 (2016)

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)