Marco Benedetti

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All published works

Action	Title	Year	Authors
+	Self-Balancing Semi-Hierarchical PCNs for CBDCs	2024	Marco Benedetti Francesco De Sclavis Marco Favorito Giuseppe Galano Sara Giammusso Antonio Muci Matteo Nardelli
+	Training neural networks with structured noise improves classification and generalization	2023	Marco Benedetti Enrico Ventura
+	Eigenvector Dreaming	2023	Marco Benedetti Louis Carillo Enzo Marinari Marc Mézard
+ PDF Chat	Supervised perceptron learning vs unsupervised Hebbian unlearning: Approaching optimal memory retrieval in Hopfield-like networks	2022	Marco Benedetti Enrico Ventura Enzo Marinari G. Ruocco Francesco Zamponi
+	A PoW-less Bitcoin with Certified Byzantine Consensus	2022	Marco Benedetti Francesco De Sclavis Marco Favorito Giuseppe Galano Sara Giammusso Antonio Muci Matteo Nardelli
+ PDF Chat	Recognition capabilities of a Hopfield model with auxiliary hidden neurons	2021	Marco Benedetti Victor Dotsenko Giulia Fischetti Enzo Marinari Gleb Oshanin
+	COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning	2020	Luigi Bellomarini Marco Benedetti Andrea Gentili Rosario Laurendi Davide Magnanimi Antonio Muci Emanuel Sallinger
+	COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning	2020	Luigi Bellomarini Marco Benedetti Andrea Gentili Rosario Laurendi Davide Magnanimi Antonio Muci Emanuel Sallinger
+	Rappresentazioni del funzionale generatore delle teorie di campo scalari	2016	Marco Benedetti

Common Coauthors

Coauthor	Papers Together
Antonio Muci	4
Enzo Marinari	3
Marco Favorito	2
Matteo Nardelli	2
Enrico Ventura	2
Rosario Laurendi	2
Davide Magnanimi	2
Giuseppe Galano	2
Francesco De Sclavis	2
Sara Giammusso	2
Emanuel Sallinger	2
Luigi Bellomarini	2
Andrea Gentili	1
Giulia Fischetti	1
Francesco Zamponi	1
Andrea Gentili	1
G. Ruocco	1
Marc Mézard	1
Louis Carillo	1
Victor Dotsenko	1
Gleb Oshanin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Dreams, endocannabinoids and itinerant dynamics in neural networks: re elaborating Crick-Mitchison unlearning hypothesis	2002	Osame Kinouchi Renato Rodrigues Kinouchi	1
+	An investigation of finite size scaling	1982	E. Brézin	1
+ PDF Chat	Scaling corrections: site percolation and Ising model in three dimensions	1999	H.G. Ballesteros L. A. Fernández V. Martı́n-Mayor A. Muñoz Sudupe Giorgio Parisi J. J. Ruiz-Lorenzo	1
+ PDF Chat	Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications	2011	Aurélien Decelle Florent Krząkała Cristopher Moore Lenka Zdeborová	1
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	1
+ PDF Chat	Efficient supervised learning in networks with binary synapses	2007	Carlo Baldassi Alfredo Braunstein Nicolas Brunel Riccardo Zecchina	1
+ PDF Chat	Extrapolating Monte Carlo Simulations to Infinite Volume: Finite-Size Scaling at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>ξ</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="italic">L</mml:mi><mml:mi mathvariant="italic" /><mml:mi>≫</mml:mi><mml:mn>1</mml:mn></mml:math>	1995	Sergio Caracciolo Robert G. Edwards Sabino José Ferreira Andrea Pelissetto Alan D. Sokal	1
+ PDF Chat	Backbone of complex networks of corporations: The flow of control	2009	James B. Glattfelder Stefano Battiston	1
+ PDF Chat	On the equivalence of Hopfield networks and Boltzmann Machines	2012	Adriano Barra Alberto Bernacchia Enrica Santucci Pierluigi Contucci	1
+ PDF Chat	Retrieval Capabilities of Hierarchical Networks: From Dyson to Hopfield	2015	Elena Agliari Adriano Barra Andrea Galluzzi Francesco Guerra Daniele Tantari Flavia Tavani	1
+ PDF Chat	Mean-field message-passing equations in the Hopfield model and its generalizations	2017	Marc Mézard	1
+ PDF Chat	Role of Synaptic Stochasticity in Training Low-Precision Neural Networks	2018	Carlo Baldassi Federica Gerace Hilbert J. Kappen Carlo Lucibello Luca Saglietti Enzo Tartaglione Riccardo Zecchina	1
+ PDF Chat	Memory formation in matter	2019	Nathan C. Keim Joseph D. Paulsen Zorana Zeravcic Srikanth Sastry Sidney R. Nagel	1
+ PDF Chat	Directed aging, memory, and nature’s greed	2019	Nidhi Pashine Daniel Hexner Andrea J. Liu Sidney R. Nagel	1
+ PDF Chat	Forgetting Memories and Their Attractiveness	2019	Enzo Marinari	1
+ PDF Chat	Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones	2019	Alberto Fachechi Elena Agliari Adriano Barra	1
+ PDF Chat	Capacity-Resolution Trade-Off in the Optimal Learning of Multiple Low-Dimensional Manifolds by Attractor Neural Networks	2020	Aldo Battista Rémi Monasson	1
+ PDF Chat	Shaping the learning landscape in neural networks around wide flat minima	2019	Carlo Baldassi Fabrizio Pittorino Riccardo Zecchina	1
+ PDF Chat	On the Number of Limit Cycles in Diluted Neural Networks	2020	Sungmin Hwang Enrico Lanza Giorgio Parisi Jacopo Rocchi G. Ruocco Francesco Zamponi	1
+ PDF Chat	Efficiency of Local Learning Rules in Threshold-Linear Associative Networks	2021	Francesca Schönsberg Yasser Roudi Alessandro Treves	1
+ PDF Chat	On the number of limit cycles in asymmetric neural networks	2019	Sungmin Hwang Viola Folli Enrico Lanza Giorgio Parisi G. Ruocco Francesco Zamponi	1
+ PDF Chat	Recognition capabilities of a Hopfield model with auxiliary hidden neurons	2021	Marco Benedetti Victor Dotsenko Giulia Fischetti Enzo Marinari Gleb Oshanin	1
+ PDF Chat	The overfitted brain: Dreams evolved to assist generalization	2021	Erik Hoel	1
+ PDF Chat	Satisfiability transition in asymmetric neural networks	2022	Fabián Aguirre-López Mauro Pastore Silvio Franz	1
+	Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception	2021	Joel Dapello Jenelle Feather Hang T. T. Le Tiago A. Marques David Cox Josh H. McDermott James J. DiCarlo SueYeon Chung	1