Zobrazeno 1 - 10
of 9 094
pro vyhledávání: '"A. Hammoud"'
Autor:
Montana, Gloria, Winney, Daniel, Bibrzycki, Lukasz, Fernandez-Ramirez, Cesar, Foti, Giorgio, Hammoud, Nadine, Mathieu, Vincent, Perry, Robert J., Pilloni, Alessandro, Rodas, Arkaitz, Shastry, Vanamali, Smith, Wyatt A., Szczepaniak, Adam P.
The Reggeized pion is expected to provide the main contribution to the forward cross section in light meson photoproduction reactions with charge exchange at high energies. We discuss the Reggeization of pion exchange in charged pion photoproduction
Externí odkaz:
http://arxiv.org/abs/2407.19577
Publikováno v:
Brain and Spine, Vol 2, Iss , Pp 101549- (2022)
Externí odkaz:
https://doaj.org/article/54e7ff32be5740f7b867c0c4346d10a2
Autor:
Hammoud, Hasan Abed Al Kader, Michieli, Umberto, Pizzati, Fabio, Torr, Philip, Bibi, Adel, Ghanem, Bernard, Ozay, Mete
Merging Large Language Models (LLMs) is a cost-effective technique for combining multiple expert LLMs into a single versatile model, retaining the expertise of the original ones. However, current approaches often overlook the importance of safety ali
Externí odkaz:
http://arxiv.org/abs/2406.14563
Autor:
Bibrzycki, Łukasz, Hammoud, Nadine, Mathieu, Vincent, Perry, Robert J., Akridge, Alex, Fernández-Ramírez, César, Montaña, Gloria, Pilloni, Alessandro, Rodas, Arkaitz, Shastry, Vanamali, Smith, Wyatt A., Winney, Daniel, Szczepaniak, Adam P.
Forward photoproduction of $\pi^+\pi^-$ pairs with invariant mass of the order of $m_\rho\sim 770$ MeV is traditionally understood to be produced via Pomeron exchange. Based on a detailed analysis of the CLAS photoproduction data, it is shown that th
Externí odkaz:
http://arxiv.org/abs/2406.08016
Autor:
Yang, Yibo, Li, Xiaojie, Alfarra, Motasem, Hammoud, Hasan, Bibi, Adel, Torr, Philip, Ghanem, Bernard
Relieving the reliance of neural network training on a global back-propagation (BP) has emerged as a notable research topic due to the biological implausibility and huge memory consumption caused by BP. Among the existing solutions, local learning op
Externí odkaz:
http://arxiv.org/abs/2406.05222
Autor:
Hammoud, Ali, Belcamino, Valerio, Huet, Quentin, Carfì, Alessandro, Khoramshahi, Mahdi, Perdereau, Veronique, Mastrogiovanni, Fulvio
Dexterous in-hand manipulation is a unique and valuable human skill requiring sophisticated sensorimotor interaction with the environment while respecting stability constraints. Satisfying these constraints with generated motions is essential for a r
Externí odkaz:
http://arxiv.org/abs/2406.04950
Autor:
Zhang, Yuning, Choi, Thomas, Cheng, Zihang, Kanno, Issei, Ito, Masaaki, Gomez-Ponce, Jorge, Hammoud, Hussein, Wu, Bowei, Pradhan, Ashwani, Arana, Kelvin, Krishna, Pramod, Yang, Tianyi, Chen, Tyler, Vasishtha, Ishita, Xie, Haoyu, Sun, Linyu, Molisch, Andreas F.
The design of cell-free massive MIMO (CF-mMIMO) systems requires accurate, measurement-based channel models. This paper provides the first results from the by far most extensive outdoor measurement campaign for CF-mMIMO channels in an urban environme
Externí odkaz:
http://arxiv.org/abs/2405.20617
In this paper, we tackle the network delays in the Internet of Things (IoT) for an enhanced QoS through a stable and optimized federated fog computing infrastructure. Network delays contribute to a decline in the Quality-of-Service (QoS) for IoT appl
Externí odkaz:
http://arxiv.org/abs/2405.17437
Autor:
Joint Physics Analysis Center Collaboration, Winney, D., Pilloni, A., Perry, R. J., Bibrzycki, L., Fernandez-Ramirez, C., Hammoud, N., Mathieu, V., Montana, G., Rodas, A., Shastry, V., Smith, W. A., Szczepaniak, A. P.
Publikováno v:
Phys. Rev. D 109 (2024), 114035
Inclusive production processes will be important for the first observations of $XYZ$ states at new generation electron-hadron colliders, as they generally benefit from larger cross sections than their exclusive counterparts. We make predictions of se
Externí odkaz:
http://arxiv.org/abs/2404.05326
Autor:
Hammoud, Hasan Abed Al Kader, Das, Tuhin, Pizzati, Fabio, Torr, Philip, Bibi, Adel, Ghanem, Bernard
We explore the impact of training with more diverse datasets, characterized by the number of unique samples, on the performance of self-supervised learning (SSL) under a fixed computational budget. Our findings consistently demonstrate that increasin
Externí odkaz:
http://arxiv.org/abs/2403.13808