Zobrazeno 1 - 10
of 33 163
pro vyhledávání: '"Valerio, P"'
Publikováno v:
2024 IEEE International Conference on Cloud Engineering (IC2E)
In machine learning (ML), the inference phase is the process of applying pre-trained models to new, unseen data with the objective of making predictions. During the inference phase, end-users interact with ML services to gain insights, recommendation
Externí odkaz:
http://arxiv.org/abs/2411.10337
Molecular dynamics (MD) simulations play a crucial role in resolving the underlying conformational dynamics of molecular systems. However, their capability to correctly reproduce and predict dynamics in agreement with experiments is limited by the ac
Externí odkaz:
http://arxiv.org/abs/2411.07798
Autor:
Baland, Rose-Marie, Filice, Valerio, Maistre, Sébastien Le, Trinh, Antony, Yseboodt, Marie, Van Hoolst, Tim
Following the discovery of several ocean worlds in the solar system, and the selection of Uranus as the highest priority objective by the Planetary Science and Astrobiology Decadal Survey 2023-2032, the five largest moons of Uranus (Miranda, Ariel, U
Externí odkaz:
http://arxiv.org/abs/2411.07788
Autor:
Fenucci, Marco, Faggioli, Laura, Gianotto, Francesco, Cioci, Davide Bracali, Cano, Juan Luis, Conversi, Luca, Devogèle, Maxime, Di Girolamo, Gianpiero, Drury, Charlie, Föhring, Dora, Gisolfi, Luigi, Kresken, Reiner, Micheli, Marco, Moissl, Richard, Ocaña, Francisco, Oliviero, Dario, Porru, Andrea, Ramirez-Moreta, Pablo, Rudawska, Regina, Bernardi, Fabrizio, Bertolucci, Alessia, Dimare, Linda, Guerra, Francesca, Baldisserotto, Valerio, Ceccaroni, Marta, Cennamo, Ramona, Chessa, Andrea, Del Vigna, Alessio, Koschny, Detlef, Teodorescu, Ana Maria, Perozzi, Ettore
The NEO Coordination Centre (NEOCC) of the European Space Agency is an operational centre that, among other activities, computes the orbits of near-Earth objects and their probabilities of impact with the Earth. The NEOCC started providing informatio
Externí odkaz:
http://arxiv.org/abs/2411.03763
Autor:
Zaw, Lin Htoo, Scarani, Valerio
Tsirelson's precession protocol is a nonclassicality witness that can be defined for both discrete and continuous variable systems. Its original version involves measuring a precessing observable, like the quadrature of a harmonic oscillator or a com
Externí odkaz:
http://arxiv.org/abs/2411.03132
Publikováno v:
Stabilization, Safety, and Security of Distributed Systems. SSS 2024. Lecture Notes in Computer Science, vol 14931. Springer, Cham
Using cloud-based applications comes with privacy implications, as the end-user looses control over their data. While encrypting all data on the client is possible, it largely reduces the usefulness of database management systems (DBMS) that are typi
Externí odkaz:
http://arxiv.org/abs/2411.02084
Autor:
Franceschi, Luca, Donini, Michele, Perrone, Valerio, Klein, Aaron, Archambeau, Cédric, Seeger, Matthias, Pontil, Massimiliano, Frasconi, Paolo
Hyperparameters are configuration variables controlling the behavior of machine learning algorithms. They are ubiquitous in machine learning and artificial intelligence and the choice of their values determine the effectiveness of systems based on th
Externí odkaz:
http://arxiv.org/abs/2410.22854
Autor:
Tung, Lam Nguyen, Cho, Steven, Du, Xiaoning, Neelofar, Neelofar, Terragni, Valerio, Ruberto, Stefano, Aleti, Aldeida
Machine learning (ML) for text classification has been widely used in various domains, such as toxicity detection, chatbot consulting, and review analysis. These applications can significantly impact ethics, economics, and human behavior, raising ser
Externí odkaz:
http://arxiv.org/abs/2410.22663
We study the second-order asymptotic expansion of the $s$-fractional Gagliardo seminorm as $s\to1^-$ in terms of a higher order nonlocal functional. We prove a Mosco-convergence result for the energy functionals and that the $L^2$-gradient flows of t
Externí odkaz:
http://arxiv.org/abs/2410.17829
Autor:
Chapman, Christopher C., Monselesan, Didier P., Risbey, James S., Hannachi, Abdelwaheb, Lucarini, Valerio, Matear, Richard
We study the hemispheric to continental scale regimes that lead to summertime heatwaves in the Northern Hemisphere. By using a powerful data mining methodology - archetype analysis - we identify characteristic spatial patterns consisting of a blockin
Externí odkaz:
http://arxiv.org/abs/2410.12179