Zobrazeno 1 - 10
of 92 244
pro vyhledávání: '"A. vila"'
Autor:
P. S. Kench, C. Liang, M. R. Ford, S. D. Owen, M. Aslam, E. J. Ryan, T. Turner, E. Beetham, M. E. Dickson, W. Stephenson, A. Vila-Concejo, R. F. McLean
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
This study establishes that the magnitude of observed physical changes in coral reef islands over the period of recent global warming is not unprecedented, and islands have continually adjusted to environmental change over the past millennia.
Externí odkaz:
https://doaj.org/article/b8d2e9a72493408d841d559bddc12598
Autor:
Vila, Roberto, Saulo, Helton
In this paper, we propose and study closed-form moment type estimators for a weighted exponential family. We also develop a bias-reduced version of these proposed closed-form estimators using bootstrap techniques. The estimators are evaluated using M
Externí odkaz:
http://arxiv.org/abs/2409.02204
In this paper we propose a family of multivariate asymmetric distributions over an arbitrary subset of set of real numbers which is defined in terms of the well-known elliptically symmetric distributions. We explore essential properties, including th
Externí odkaz:
http://arxiv.org/abs/2408.17410
Autor:
Don-Yehiya, Shachar, Burtenshaw, Ben, Astudillo, Ramon Fernandez, Osborne, Cailean, Jaiswal, Mimansa, Kuo, Tzu-Sheng, Zhao, Wenting, Shenfeld, Idan, Peng, Andi, Yurochkin, Mikhail, Kasirzadeh, Atoosa, Huang, Yangsibo, Hashimoto, Tatsunori, Jernite, Yacine, Vila-Suero, Daniel, Abend, Omri, Ding, Jennifer, Hooker, Sara, Kirk, Hannah Rose, Choshen, Leshem
Human feedback on conversations with language language models (LLMs) is central to how these systems learn about the world, improve their capabilities, and are steered toward desirable and safe behaviors. However, this feedback is mostly collected by
Externí odkaz:
http://arxiv.org/abs/2408.16961
Autor:
Francés-Belda, Víctor, Solera-Rico, Alberto, Nieto-Centenero, Javier, Andrés, Esther, Vila, Carlos Sanmiguel, Castellanos, Rodrigo
Surrogate models combining dimensionality reduction and regression techniques are essential to reduce the need for costly high-fidelity CFD data. New approaches using $\beta$-Variational Autoencoder ($\beta$-VAE) architectures have shown promise in o
Externí odkaz:
http://arxiv.org/abs/2408.04969
In this paper, we propose a new distribution over the unit interval which can be characterized as a ratio of the type Z=Y/(X+Y) where X and Y are two correlated Birnbaum-Saunders random variables. The stress-strength probability between X and Y is ca
Externí odkaz:
http://arxiv.org/abs/2408.00100
Deep architectures are the current state-of-the-art in predicting subjective image quality. Usually, these models are evaluated according to their ability to correlate with human opinion in databases with a range of distortions that may appear in dig
Externí odkaz:
http://arxiv.org/abs/2407.17927
Autor:
Hernández-Cámara, Pablo, Vila-Tomás, Jorge, Dauden-Oliver, Paula, Alabau-Bosque, Nuria, Laparra, Valero, Malo, Jesús
Autonomous driving is a challenging scenario for image segmentation due to the presence of uncontrolled environmental conditions and the eventually catastrophic consequences of failures. Previous work suggested that a biologically motivated computati
Externí odkaz:
http://arxiv.org/abs/2407.17829
We propose and study a one-dimensional model which consists of two cross-diffusion systems coupled via a moving interface. The motivation stems from the modelling of complex diffusion processes in the context of the vapor deposition of thin films. In
Externí odkaz:
http://arxiv.org/abs/2407.15457
Autor:
Ramos, E. Navarrete, Duarte-Campderros, J., Fernández, M., Gómez, G., González, J., Hidalgo, S., Jaramillo, R., del Árbol, P. Martínez Ruiz, Moll, M., Quintana, C., Sikdar, A. K., Vila, I., Villegas, J.
In this radiation tolerance study, Low Gain Avalanche Detectors (LGADs) with a carbon-enriched broad and shallow multiplication layer were examined in comparison to identical non-carbonated LGADs. Manufactured at IMB-CNM, the sensors underwent neutro
Externí odkaz:
http://arxiv.org/abs/2406.01267