Zobrazeno 1 - 10
of 2 525
pro vyhledávání: '"Aeron A"'
H5N1 highly pathogenic avian influenza (HPAI) has been recently circulating in previously unseen patterns. As the underlying causes are uncertain, we need a better understanding of the drivers of virus circulation, as they underpin the spread, and in
Externí odkaz:
http://arxiv.org/abs/2411.10424
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
We propose the \textit{linear barycentric coding model (LBCM)} that utilizes the linear optimal transport (LOT) metric for analysis and synthesis of probability measures. We provide a closed-form solution to the variational problem characterizing the
Externí odkaz:
http://arxiv.org/abs/2410.23602
Autor:
Pazos, Camila, Aeron, Shuchin, Beauchemin, Pierre-Hugues, Croft, Vincent, Klassen, Martin, Wongjirad, Taritree
The unfolding of detector effects in experimental data is critical for enabling precision measurements in high-energy physics. However, traditional unfolding methods face challenges in scalability, flexibility, and dependence on simulations. We intro
Externí odkaz:
http://arxiv.org/abs/2406.01507
Machine learning augmented diagnostic testing to identify sources of variability in test performance
Autor:
Banks, Christopher J., Sanchez, Aeron, Stewart, Vicki, Bowen, Kate, Smith, Graham, Kao, Rowland R.
Diagnostic tests which can detect pre-clinical or sub-clinical infection, are one of the most powerful tools in our armoury of weapons to control infectious diseases. Considerable effort has been therefore paid to improving diagnostic testing for hum
Externí odkaz:
http://arxiv.org/abs/2404.03678
Publikováno v:
Personnel Review, 2024, Vol. 53, Issue 7, pp. 1687-1709.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-11-2021-0809
This paper addresses the problem of estimating entropy-regularized optimal transport (EOT) maps with squared-Euclidean cost between source and target measures that are subGaussian. In the case that the target measure is compactly supported or strongl
Externí odkaz:
http://arxiv.org/abs/2311.11934
For a widely-studied data model and general loss and sample-hardening functions we prove that the losses of Supervised Contrastive Learning (SCL), Hard-SCL (HSCL), and Unsupervised Contrastive Learning (UCL) are minimized by representations that exhi
Externí odkaz:
http://arxiv.org/abs/2311.05139
Publikováno v:
Phys. Rev. B 108, L24140 (2023)
The Rashba-Edelstein effect (REE), which generates interfacial spin polarization and subsequent spin current, is a compelling spin-charge conversion mechanism for spintronics applications, since it is not limited by the elemental spin-orbit coupling.
Externí odkaz:
http://arxiv.org/abs/2309.10985
For the first time, we show high-fidelity generation of LArTPC-like data using a generative neural network. This demonstrates that methods developed for natural images do transfer to LArTPC-produced images, which, in contrast to natural images, are g
Externí odkaz:
http://arxiv.org/abs/2307.13687
In typical medical image classification problems, labeled data is scarce while unlabeled data is more available. Semi-supervised learning and self-supervised learning are two different research directions that can improve accuracy by learning from ex
Externí odkaz:
http://arxiv.org/abs/2307.08919