Zobrazeno 1 - 10
of 2 450
pro vyhledávání: '"Ferdia"'
Autor:
Canizares, Priscilla, Murari, Davide, Schönlieb, Carola-Bibiane, Sherry, Ferdia, Shumaylov, Zakhar
Hamilton's equations of motion form a fundamental framework in various branches of physics, including astronomy, quantum mechanics, particle physics, and climate science. Classical numerical solvers are typically employed to compute the time evolutio
Externí odkaz:
http://arxiv.org/abs/2410.18262
Autor:
Shumaylov, Zakhar, Zaika, Peter, Rowbottom, James, Sherry, Ferdia, Weber, Melanie, Schönlieb, Carola-Bibiane
The quest for robust and generalizable machine learning models has driven recent interest in exploiting symmetries through equivariant neural networks. In the context of PDE solvers, recent works have shown that Lie point symmetries can be a useful i
Externí odkaz:
http://arxiv.org/abs/2410.02698
Autor:
Condit, Tom
Publikováno v:
Archaeology Ireland, 2016 Jun 01
Externí odkaz:
https://www.jstor.org/stable/43816270
Autor:
Reynolds, Julian
Publikováno v:
The Irish Naturalists' Journal, 2018 Jun . 36(1), 92-92.
Externí odkaz:
https://www.jstor.org/stable/45181574
Graph Neural Networks (GNNs) have established themselves as a key component in addressing diverse graph-based tasks. Despite their notable successes, GNNs remain susceptible to input perturbations in the form of adversarial attacks. This paper introd
Externí odkaz:
http://arxiv.org/abs/2311.06942
Autor:
Hurley, Aoife K., Carden, Ruth F., Cook, Sally, Commission, Irish Deer, Marnell, Ferdia, Brama, Pieter A. J., Buckley, Daniel J., Sweeney, James
Accurate predictions of the populations and spatial distributions of wild animal species is critical from a species management and conservation perspective. Culling is a measure taken for various reasons, including when overpopulation of a species is
Externí odkaz:
http://arxiv.org/abs/2310.19993
Plug-and-play (PnP) denoising is a popular iterative framework for solving imaging inverse problems using off-the-shelf image denoisers. Their empirical success has motivated a line of research that seeks to understand the convergence of PnP iterates
Externí odkaz:
http://arxiv.org/abs/2307.09441
Autor:
Sherry, Ferdia, Celledoni, Elena, Ehrhardt, Matthias J., Murari, Davide, Owren, Brynjulf, Schönlieb, Carola-Bibiane
Motivated by classical work on the numerical integration of ordinary differential equations we present a ResNet-styled neural network architecture that encodes non-expansive (1-Lipschitz) operators, as long as the spectral norms of the weights are ap
Externí odkaz:
http://arxiv.org/abs/2306.17332
Autor:
Nikita Sushentsev, Gregory Hamm, Lucy Flint, Daniel Birtles, Aleksandr Zakirov, Jack Richings, Stephanie Ling, Jennifer Y. Tan, Mary A. McLean, Vinay Ayyappan, Ines Horvat Menih, Cara Brodie, Jodi L. Miller, Ian G. Mills, Vincent J. Gnanapragasam, Anne Y. Warren, Simon T. Barry, Richard J. A. Goodwin, Tristan Barrett, Ferdia A. Gallagher
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Hyperpolarised magnetic resonance imaging (HP-13C-MRI) has shown promise as a clinical tool for detecting and characterising prostate cancer. Here we use a range of spatially resolved histological techniques to identify the biological mechan
Externí odkaz:
https://doaj.org/article/5d269719830146bfb19310f180c8fbe9