Zobrazeno 1 - 10
of 687 598
pro vyhledávání: '"Stefano, A."'
We study non-equilibrium properties of a chain of $N$ oscillators with both long-ranged harmonic interactions and long-range conservative noise that exchange momenta of particle pairs. We derive exact expressions for the (deterministic) energy-curren
Externí odkaz:
http://arxiv.org/abs/2409.11832
Bayesian Neural Networks represent a fascinating confluence of deep learning and probabilistic reasoning, offering a compelling framework for understanding uncertainty in complex predictive models. In this paper, we investigate the use of the precond
Externí odkaz:
http://arxiv.org/abs/2408.14325
Autor:
Rovida, Francesca, Faccini, Marino, Grané, Carla Molina, Cassaniti, Irene, Senatore, Sabrina, Rossetti, Eva, Scardina, Giuditta, Piazza, Manuela, Campanini, Giulia, Lilleri, Daniele, Paolucci, Stefania, Ferrari, Guglielmo, Piralla, Antonio, Defilippo, Francesco, Lelli, Davide, Moreno, Ana, Vezzosi, Luigi, Attanasi, Federica, Marzia, Soresini, Manuela, Barozzi, Cerutti, Lorenzo, Paglia, Stefano, Regazzetti, Angelo, Marcacci, Maurilia, Di Donato, Guido, Farioli, Marco, Manica, Mattia, Poletti, Piero, Lavazza, Antonio, Bonini, Maira, Merler, Stefano, Baldanti, Fausto, Cereda, Danilo, network, Lombardy Dengue
Introduction. Here we reported the virological, entomological and epidemiological characteristics of the large autochthonous outbreak of dengue (DENV) occurred in a small village of the Lombardy region (Northern Italy) during summer 2023. Methods. Af
Externí odkaz:
http://arxiv.org/abs/2408.04768
Autor:
Saez-Mollejo, Jaime, Jirovec, Daniel, Schell, Yona, Kukucka, Josip, Calcaterra, Stefano, Chrastina, Daniel, Isella, Giovanni, Rimbach-Russ, Maximilian, Bosco, Stefano, Katsaros, Georgios
Hole spin qubits are rapidly emerging as the workhorse of semiconducting quantum processors because of their large spin-orbit interaction, enabling fast all-electric operations at low power. However, spin-orbit interaction also causes non-uniformitie
Externí odkaz:
http://arxiv.org/abs/2408.03224
Autor:
Bordoni, Simone, Papaluca, Andrea, Buttarini, Piergiorgio, Sopena, Alejandro, Giagu, Stefano, Carrazza, Stefano
In the current era of quantum computing, robust and efficient tools are essential to bridge the gap between simulations and quantum hardware execution. In this work, we introduce a machine learning approach to characterize the noise impacting a quant
Externí odkaz:
http://arxiv.org/abs/2408.01506
Physical layer message authentication in underwater acoustic networks (UWANs) leverages the characteristics of the underwater acoustic channel (UWAC) as a fingerprint of the transmitting device. However, as the device moves its UWAC changes, and the
Externí odkaz:
http://arxiv.org/abs/2410.03511
Autor:
Biasi, Stefano, Foradori, Alessandro, Franchi, Riccardo, Lugnan, Alessio, Bienstman, Peter, Pavesi, Lorenzo
While biological neurons ensure unidirectional signalling, scalable integrated photonic neurons, such as silicon microresonators, respond the same way regardless of excitation direction due to the Lorentz reciprocity principle. Here, we show that a n
Externí odkaz:
http://arxiv.org/abs/2410.03257
Autor:
Kim, Sungnyun, Liao, Haofu, Appalaraju, Srikar, Tang, Peng, Tu, Zhuowen, Satzoda, Ravi Kumar, Manmatha, R., Mahadevan, Vijay, Soatto, Stefano
Visual document understanding (VDU) is a challenging task that involves understanding documents across various modalities (text and image) and layouts (forms, tables, etc.). This study aims to enhance generalizability of small VDU models by distillin
Externí odkaz:
http://arxiv.org/abs/2410.03061
Autor:
Zeng, Ziyao, Wu, Yangchao, Park, Hyoungseob, Wang, Daniel, Yang, Fengyu, Soatto, Stefano, Lao, Dong, Hong, Byung-Woo, Wong, Alex
We propose a method for metric-scale monocular depth estimation. Inferring depth from a single image is an ill-posed problem due to the loss of scale from perspective projection during the image formation process. Any scale chosen is a bias, typicall
Externí odkaz:
http://arxiv.org/abs/2410.02924
Autor:
Trost, Andrea, Bolton, James S., Caputo, Andrea, Liu, Hongwan, Cristiani, Stefano, Viel, Matteo
The ultralight dark photon is a well-motivated, hypothetical dark matter candidate. In a dilute plasma, they can resonantly convert into photons, and heat up the intergalactic medium between galaxies. In this work, we explore the dark photon dark mat
Externí odkaz:
http://arxiv.org/abs/2410.02858