Zobrazeno 1 - 10
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pro vyhledávání: '"Franca AS"'
Autor:
de Franca, Fabricio Olivetti
Publikováno v:
Fabr\'icio Olivetti de Fran\c{c}a. 2023. Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization. Genetic Programming and Evolvable Machines 24, 2 (Dec 2023)
The Transformation-Interaction-Rational is a representation for symbolic regression that limits the search space of functions to the ratio of two nonlinear functions each one defined as the linear regression of transformed variables. This representat
Externí odkaz:
http://arxiv.org/abs/2501.01905
We investigate the single-site von Neumann entropy along a harmonically confined superfluid chain, as described by the one-dimensional fermionic Hubbard model with strongly attractive interactions. We find that by increasing the confinement (or equiv
Externí odkaz:
http://arxiv.org/abs/2412.20515
Autor:
Franca, O. J., Spallek, Fabian, Giesen, Steffen, Berger, Robert, Singer, Kilian, Aull, Stefan, Buhmann, Stefan Yoshi
We investigate how the quantum friction experienced by a polarizable atom moving with constant velocity parallel to a planar interface is modified when the latter consists of chiral or nonreciprocal media, with special focus on topological insulators
Externí odkaz:
http://arxiv.org/abs/2412.18044
Three-Dimensional Polarized Light Imaging (3D-PLI) and Computational Scattered Light Imaging (ComSLI) map dense nerve fibers in brain sections with micrometer resolution using visible light. 3D-PLI reconstructs single fiber orientations, while ComSLI
Externí odkaz:
http://arxiv.org/abs/2412.08499
Autor:
Cruz, Flávio França
Liebmann's Theorem is a fundamental result stating that a compact connected convex surface in $\mathbb{R}^3$ with constant mean curvature (cmc) is a totally umbilical sphere. We extend this theorem to surfaces with boundary by showing that a locally
Externí odkaz:
http://arxiv.org/abs/2412.03368
Personalized Federated Learning is essential in AI-driven ubiquitous systems, supporting the distributed development of models able to adapt to diverse and evolving user behaviors while safeguarding privacy. Despite addressing heterogeneous user data
Externí odkaz:
http://arxiv.org/abs/2411.08699
We propose a framework for two-player infinite-dimensional games with cooperative or competitive structure. These games take the form of coupled partial differential equations in which players optimize over a space of measures, driven by either a gra
Externí odkaz:
http://arxiv.org/abs/2411.07403
It is of great interest to understand the thermalization of open quantum many-body systems, and how quantum computers are able to efficiently simulate that process. A recently introduced disispative evolution, inspired by existing models of open syst
Externí odkaz:
http://arxiv.org/abs/2411.04885
In this work, we initiate the study of Hamiltonian learning for positive temperature bosonic Gaussian states, the quantum generalization of the widely studied problem of learning Gaussian graphical models. We obtain efficient protocols, both in sampl
Externí odkaz:
http://arxiv.org/abs/2411.03163
Autor:
Saccheo, I., Bongiorno, A., Piconcelli, E., Zappacosta, L., Bischetti, M., D'Odorico, V., Done, C., Temple, M. J., Testa, V., Tortosa, A., Brusa, M., Carniani, S., Civano, F., Comastri, A., Cristiani, S., De Cicco, D., Elvis, M., Fan, X., Feruglio, C., Fiore, F., Gallerani, S., Giallongo, E., Gilli, R., Grazian, A., Guainazzi, M., Haardt, F., Maiolino, R., Menci, N., Miniutti, G., Nicastro, F., Paolillo, M., Puccetti, S., Salvestrini, F., Schneider, R., Tombesi, F., Tripodi, R., Valiante, R., Vallini, L., Vanzella, E., Vietri, G., Vignali, C., Vito, F., Volonteri, M., La Franca, F.
We aim at characterizing the X-ray-to-optical/near-infrared broad-band emission of luminous QSOs in the first Gyr of cosmic evolution to understand whether they exhibit differences compared to the lower-\textit{z} QSO population. Our goal is also to
Externí odkaz:
http://arxiv.org/abs/2411.02105