Zobrazeno 1 - 10
of 5 581
pro vyhledávání: '"Martinez, Juan A."'
Autor:
Královič-Kanjaková, Nina, Shirazi, Ali Asi, Hubčík, Lukáš, Klacsová, Mária, Keshavarzi, Atoosa, Martínez, Juan Carlos, Combet, Sophie, Teixeira, José, Uhríková, Daniela
Publikováno v:
Langmuir, 2024, 40 (13), pp.6847-6861
The use of exogenous pulmonary surfactant (EPS) to deliver other relevant drugs to the lung is a promising strategy for combined therapy. We evaluated the interaction of polymyxin B (PxB) with clinically used EPS, the poractant alfa Curosurf (PSUR).
Externí odkaz:
http://arxiv.org/abs/2412.04894
Large systems are often coarse-grained in order to study their low-dimensional macroscopic dynamics, yet microscopic complexity can in principle disrupt these predictions in many ways. We first consider one form of fine-grained complexity, heterogene
Externí odkaz:
http://arxiv.org/abs/2411.14969
Autor:
Cridge, Thomas, Harland-Lang, Lucian A., McGowan, Jamie, Thorne, Robert S., Ball, Richard D., Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Hekhorn, Felix, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Stegeman, Roy, Ubiali, Maria
We discuss how the two existing approximate N$^3$LO (aN$^3$LO) sets of parton distributions (PDFs) from the MSHT20 and NNPDF4.0 series can be combined for LHC phenomenology, both in the pure QCD case and for the QCD$\otimes$QED sets that include the
Externí odkaz:
http://arxiv.org/abs/2411.05373
Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure
Autor:
Cruz-Martinez, Juan, Jansen, Aaron, van Oord, Gijs, Rabemananjara, Tanjona R., Rocha, Carlos M. R., Rojo, Juan, Stegeman, Roy
Deep learning models are defined in terms of a large number of hyperparameters, such as network architectures and optimiser settings. These hyperparameters must be determined separately from the model parameters such as network weights, and are often
Externí odkaz:
http://arxiv.org/abs/2410.16248
Autor:
Martínez, Juan Giral
Disordered systems theory provides powerful tools to analyze the generic behaviors of highdimensional systems, such as species-rich ecological communities or neural networks. By assuming randomness in their interactions, universality ensures that man
Externí odkaz:
http://arxiv.org/abs/2407.13444
Autor:
Cruz-Martinez, Juan, Forte, Stefano, Laurenti, Niccolo, Rabemananjara, Tanjona R., Rojo, Juan
We present NNPDF4.0MC, a variant of the NNPDF4.0 set of parton distributions (PDFs) at LO, NLO and NNLO, with and without inclusion of the photon PDF, suitable for use with Monte Carlo (MC) event generators, which require PDFs to satisfy additional c
Externí odkaz:
http://arxiv.org/abs/2406.12961
The student-optimal stable mechanism (DA), the most popular mechanism in school choice, is the only one that is both stable and strategy-proof. However, when DA is implemented, a student can change the schools of others without changing her own. We s
Externí odkaz:
http://arxiv.org/abs/2406.01398
Autor:
MARTINEZ, JUAN
Publikováno v:
Ploughshares, 2024 Jul 01. 50(2), 116-121.
Externí odkaz:
https://www.jstor.org/stable/27314712
Autor:
The NNPDF Collaboration, Ball, Richard D., Barontini, Andrea, Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Giani, Tommaso, Hekhorn, Felix, Kassabov, Zahari, Laurenti, Niccolò, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Schwan, Christopher, Stegeman, Roy, Ubiali, Maria
We extend the existing leading (LO), next-to-leading (NLO), and next-to-next-to-leading order (NNLO) NNPDF4.0 sets of parton distribution functions (PDFs) to approximate next-to-next-to-next-to-leading order (aN$^3$LO). We construct an approximation
Externí odkaz:
http://arxiv.org/abs/2402.18635
Autor:
The NNPDF Collaboration, Ball, Richard D., Barontini, Andrea, Candido, Alessandro, Carrazza, Stefano, Cruz-Martinez, Juan, Del Debbio, Luigi, Forte, Stefano, Giani, Tommaso, Hekhorn, Felix, Kassabov, Zahari, Laurenti, Niccolò, Magni, Giacomo, Nocera, Emanuele R., Rabemananjara, Tanjona R., Rojo, Juan, Schwan, Christopher, Stegeman, Roy, Ubiali, Maria
We include uncertainties due to missing higher order corrections to QCD computations (MHOU) used in the determination of parton distributions (PDFs) in the recent NNPDF4.0 set of PDFs. We use our previously published methodology, based on the treatme
Externí odkaz:
http://arxiv.org/abs/2401.10319