Zobrazeno 1 - 10
of 2 469
pro vyhledávání: '"Massei, A."'
Autor:
Chun, Kwok P, Octavianti, Thanti, Papacharalampous, Georgia, Tyralis, Hristos, Sutanto, Samuel J., Terskii, Pavel, Mazzoglio, Paola, Treppiedi, Dario, Rivera, Juan, Dogulu, Nilay, Olusola, Adeyemi, Dieppois, Bastien, Dembélé, Moctar, Moulds, Simon, Li, Cheng, Morales-Marin, Luis Alejandro, Macdonald, Neil, Amoussou, Toundji Olivier, Yonaba, Roland, Obahoundje, Salomon, Massei, Nicolas, Hannah, David M., Chidepudi, Sivarama Krishna Reddy, Hamududu, Byman
We have witnessed and experienced increasing compound extreme events resulting from simultaneous or sequential occurrence of multiple events in a changing climate. In addition to a growing demand for a clearer explanation of compound risks from a hyd
Externí odkaz:
http://arxiv.org/abs/2409.19003
Autor:
Massei, Stefano, Saluzzi, Luca
Solving large-scale continuous-time algebraic Riccati equations is a significant challenge in various control theory applications. This work demonstrates that when the matrix coefficients of the equation are quasiseparable, the solution also exhibits
Externí odkaz:
http://arxiv.org/abs/2408.16569
In this paper, we propose some Chebyshev polynomials of the 1st-kind which produce optimal bound for a polynomial dependent constant involved in the AMG $V$-cycle error bound and do not require information about the spectrum of matrices. We formulate
Externí odkaz:
http://arxiv.org/abs/2407.09848
Autor:
Xia, Lu, Massei, Stefano
Adaptive first-order optimizers are fundamental tools in deep learning, although they may suffer from poor generalization due to the nonuniform gradient scaling. In this work, we propose AdamL, a novel variant of the Adam optimizer, that takes into a
Externí odkaz:
http://arxiv.org/abs/2312.15295
Autor:
Massei, Stefano, Tudisco, Francesco
We consider the problem of attaining either the maximal increase or reduction of the robustness of a complex network by means of a bounded modification of a subset of the edge weights. We propose two novel strategies combining Krylov subspace approxi
Externí odkaz:
http://arxiv.org/abs/2303.04971
When training neural networks with low-precision computation, rounding errors often cause stagnation or are detrimental to the convergence of the optimizers; in this paper we study the influence of rounding errors on the convergence of the gradient d
Externí odkaz:
http://arxiv.org/abs/2301.09511
Autor:
Massei, Stefano, Robol, Leonardo
Linear systems with a tensor product structure arise naturally when considering the discretization of Laplace type differential equations or, more generally, multidimensional operators with separable coefficients. In this work, we focus on the numeri
Externí odkaz:
http://arxiv.org/abs/2301.06781
Autor:
Rita Antonelli, Valentina Massei, Elena Ferrari, Mariana Gallo, Thelma A. Pertinhez, Paolo Vescovi, Silvia Pizzi, Marco Meleti
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 5, Pp 4234-4250 (2024)
The activity of dental caries, combined with its multifactorial etiology, alters salivary molecule composition. The present systematic review was developed to answer the following question: “Are salivary biomarkers reliable for diagnosis of dental
Externí odkaz:
https://doaj.org/article/58d2715bd7314d8ab81e608c4ae4a070
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 20, Pp 261-274 (2024)
Giorgio Costagliola,1 Emanuela De Marco,1 Francesco Massei,1 Giulia Roberti,2 Fabrizio Catena,1 Gabriella Casazza,1 Rita Consolini3 1Section of Pediatric Hematology and Oncology, Azienda Ospedaliero-Universitaria Pisana, Pisa, 56126, Italy; 2Pediatri
Externí odkaz:
https://doaj.org/article/6851080d0d5d48339a847ef10198d5c5
This work is concerned with linear matrix equations that arise from the space-time discretization of time-dependent linear partial differential equations (PDEs). Such matrix equations have been considered, for example, in the context of parallel-in-t
Externí odkaz:
http://arxiv.org/abs/2204.03073