Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Benedetti, Marco"'
Autor:
Benedetti, Marco, De Sclavis, Francesco, Favorito, Marco, Galano, Giuseppe, Giammusso, Sara, Muci, Antonio, Nardelli, Matteo
We introduce a family of PCNs (Payment Channel Networks) characterized by a semi-hierarchical topology and a custom set of channel rebalancing strategies. This family exhibits two interesting benefits, if used as a platform for large-scale, instant,
Externí odkaz:
http://arxiv.org/abs/2401.11868
Among the performance-enhancing procedures for Hopfield-type networks that implement associative memory, Hebbian Unlearning (or dreaming) strikes for its simplicity and its clear biological interpretation. Yet, it does not easily lend itself to a cle
Externí odkaz:
http://arxiv.org/abs/2308.13445
Autor:
Benedetti, Marco, Ventura, Enrico
The beneficial role of noise-injection in learning is a consolidated concept in the field of artificial neural networks, suggesting that even biological systems might take advantage of similar mechanisms to optimize their performance. The training-wi
Externí odkaz:
http://arxiv.org/abs/2302.13417
Autor:
Benedetti, Marco, De Sclavis, Francesco, Favorito, Marco, Galano, Giuseppe, Giammusso, Sara, Muci, Antonio, Nardelli, Matteo
Distributed Ledger Technologies (DLTs), when managed by a few trusted validators, require most but not all of the machinery available in public DLTs. In this work, we explore one possible way to profit from this state of affairs. We devise a combinat
Externí odkaz:
http://arxiv.org/abs/2207.06870
Publikováno v:
J. Chem. Phys. 156, 104107 (2022)
The Hebbian unlearning algorithm, i.e. an unsupervised local procedure used to improve the retrieval properties in Hopfield-like neural networks, is numerically compared to a supervised algorithm to train a linear symmetric perceptron. We analyze the
Externí odkaz:
http://arxiv.org/abs/2201.00032
Understanding the effects of social determinants of health on health outcomes requires data on characteristics of the neighborhoods in which subjects live. However, estimates of these characteristics are often aggregated over space and time in a fash
Externí odkaz:
http://arxiv.org/abs/2112.06802
Autor:
Liu, Kevin1 (AUTHOR), Benedetti, Marco1 (AUTHOR), Evans, Alexander1,2 (AUTHOR), Zhu, Motao1,2,3 (AUTHOR) motao.zhu@nationwidechildrens.org
Publikováno v:
BMC Public Health. 5/10/2024, Vol. 24 Issue 1, p1-5. 5p.
Soils have been heralded as a hidden resource that can be leveraged to mitigate and address some of the major global environmental challenges. Specifically, the organic carbon stored in soils, called Soil Organic Carbon (SOC), can, through proper soi
Externí odkaz:
http://arxiv.org/abs/2102.02731
Publikováno v:
Phys. Rev. E 103, 060401 (2021)
We study the recognition capabilities of the Hopfield model with auxiliary hidden layers, which emerge naturally upon a Hubbard-Stratonovich transformation. We show that the recognition capabilities of such a model at zero-temperature outperform thos
Externí odkaz:
http://arxiv.org/abs/2101.05247
Autor:
Bellomarini, Luigi, Benedetti, Marco, Gentili, Andrea, Laurendi, Rosario, Magnanimi, Davide, Muci, Antonio, Sallinger, Emanuel
In the COVID-19 outbreak, governments have applied progressive restrictions to production activities, permitting only those that are considered strategic or that provide essential services. This is particularly apparent in countries that have been st
Externí odkaz:
http://arxiv.org/abs/2004.10119