Zobrazeno 1 - 10
of 34 237
pro vyhledávání: '"A P, RAFFAELE"'
Autor:
Forootani, Ali, Iervolino, Raffaele
Federated Learning (FL) has emerged as a powerful paradigm for decentralized machine learning, enabling collaborative model training across diverse clients without sharing raw data. However, traditional FL approaches often face limitations in scalabi
Externí odkaz:
http://arxiv.org/abs/2412.17723
Autor:
Lettich, Francesco, Carlini, Emanuele, Nardini, Franco Maria, Perego, Raffaele, Trani, Salvatore
The rise of Artificial Intelligence and Large Language Models is driving increased GPU usage in data centers for complex training and inference tasks, impacting operational costs, energy demands, and the environmental footprint of large-scale computi
Externí odkaz:
http://arxiv.org/abs/2412.17484
We derive a lower bound on the sensitivity of generic mechanical and electromagnetic gravitational wave detectors. We consider both classical and quantum detection schemes, although we focus on the former. Our results allow for a simple reproduction
Externí odkaz:
http://arxiv.org/abs/2412.17897
Autor:
Noja, Diego, Scandone, Raffaele
We consider Schr\"odinger operators on a bounded domain $\Omega\subset \mathbb{R}^3$, with homogeneous Robin or Dirichlet boundary conditions on $\partial\Omega$ and a point (zero-range) interaction placed at an interior point of $\Omega$. We show th
Externí odkaz:
http://arxiv.org/abs/2412.16056
Autor:
Takahashi, Hideaki, Borrelli, Raffaele
We present a comprehensive theory for a novel method to discretize the spectral density of a bosonic heat bath, as introduced in [H. Takahashi and R. Borrelli, J. Chem. Phys. \textbf{161}, 151101 (2024)]. The approach leverages a low-rank decompositi
Externí odkaz:
http://arxiv.org/abs/2412.13793
Autor:
Degner, Maximilian, Soloperto, Raffaele, Zeilinger, Melanie N., Lygeros, John, Köhler, Johannes
We consider the problem of optimizing the economic performance of nonlinear constrained systems subject to uncertain time-varying parameters and bounded disturbances. In particular, we propose an adaptive economic model predictive control (MPC) frame
Externí odkaz:
http://arxiv.org/abs/2412.13046
Autor:
Donato, Sandro, Caputo, Simone, Brombal, Luca, Golosio, Bruno, Longo, Renata, Tromba, Giuliana, Agostino, Raffaele G., Greco, Gianluigi, Arhatari, Benedicta D., Hall, Chris, Maksimenko, Anton, Hausermann, Daniel, Lockie, Darren, Fox, Jane, Kumar, Beena, Lewis, Sarah, Brennan, Patrick C., Quiney, Harry M., Taba, Seyedamir Tavakoli, Gureyev, Timur E.
Three different computed tomography (CT) reconstruction algorithms: Filtered Back Projection (FBP), Unified Tomographic Reconstruction (UTR) and customized Simultaneous Algebraic Reconstruction Technique (cSART), have been systematically compared and
Externí odkaz:
http://arxiv.org/abs/2412.11641
Autor:
Alexandropoulos, George C., Jung, Bo Kum, Gavriilidis, Panagiotis, Matos, Sérgio, Loeser, Lorenz H. W., Elesina, Varvara, Clemente, Antonio, D'Errico, Raffaele, Pessoa, Luís M., Kürner, Thomas
Reconfigurable Intelligent Surfaces (RISs) are expected to play a pivotal role in future indoor ultra high data rate wireless communications as well as highly accurate three-dimensional localization and sensing, mainly due to their capability to prov
Externí odkaz:
http://arxiv.org/abs/2412.07359
Recent studies based on simulations of the Boussinesq equations indicate that stratified turbulent flows can develop large-scale intermittency in the velocity and temperature fields, as detected in the atmosphere and in the oceans. In particular, eme
Externí odkaz:
http://arxiv.org/abs/2412.03384
Autor:
Anselmetti, Gian-Luca R., Degroote, Matthias, Moll, Nikolaj, Santagati, Raffaele, Streif, Michael
Classical shadow tomography has become a powerful tool in learning about quantum states prepared on a quantum computer. Recent works have used classical shadows to variationally enforce N-representability conditions on the 2-particle reduced density
Externí odkaz:
http://arxiv.org/abs/2411.18430