Zobrazeno 1 - 10
of 2 351
pro vyhledávání: '"Vadeboncoeur A"'
Autor:
Glyn-Davies, Alex, Vadeboncoeur, Arnaud, Akyildiz, O. Deniz, Kazlauskaite, Ieva, Girolami, Mark
Variational inference (VI) is a computationally efficient and scalable methodology for approximate Bayesian inference. It strikes a balance between accuracy of uncertainty quantification and practical tractability. It excels at generative modelling a
Externí odkaz:
http://arxiv.org/abs/2409.06560
Bayesian inversion is central to the quantification of uncertainty within problems arising from numerous applications in science and engineering. To formulate the approach, four ingredients are required: a forward model mapping the unknown parameter
Externí odkaz:
http://arxiv.org/abs/2405.17955
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being, Vol 19, Iss 1 (2024)
Purpose Since the COVID-19 pandemic, a paediatric network study with clinical sites across Canada suffered a reduction in participation. When research studies fail to meet enrolment targets, it can reduce the strength and validity of the results. Thi
Externí odkaz:
https://doaj.org/article/c7d20e28ce4f470e8b1f59afe67d9eb1
Autor:
Vadeboncoeur, Arnaud, Kazlauskaite, Ieva, Papandreou, Yanni, Cirak, Fehmi, Girolami, Mark, Akyildiz, Ömer Deniz
We introduce a new class of spatially stochastic physics and data informed deep latent models for parametric partial differential equations (PDEs) which operate through scalable variational neural processes. We achieve this by assigning probability m
Externí odkaz:
http://arxiv.org/abs/2301.11040
We introduce a physics-driven deep latent variable model (PDDLVM) to learn simultaneously parameter-to-solution (forward) and solution-to-parameter (inverse) maps of parametric partial differential equations (PDEs). Our formulation leverages conventi
Externí odkaz:
http://arxiv.org/abs/2208.04856
Akademický článek
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Autor:
Lavoie Kim L, Bacon Simon L, Arsenault André, Dupuis Jocelyn, Pilote Louise, Laurin Catherine, Gordon Jennifer, Gautrin Denyse, Vadeboncoeur Alain
Publikováno v:
BMC Cardiovascular Disorders, Vol 11, Iss 1, p 50 (2011)
Abstract Background Endothelial function has been shown to be a highly sensitive marker for the overall cardiovascular risk of an individual. Furthermore, there is evidence of important sex differences in endothelial function that may underlie the di
Externí odkaz:
https://doaj.org/article/83688acef4de479c92a646db0c008fd0
Autor:
Kimberley Widger, Sarah Brennenstuhl, Katherine E. Nelson, Hsien Seow, Adam Rapoport, Harold Siden, Christina Vadeboncoeur, Sumit Gupta, Peter Tanuseputro
Publikováno v:
BMC Pediatrics, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Children with life-threatening conditions frequently experience high intensity care at the end of life, though most of this research only focused on children with cancer. Some research suggests inequities in care provided based on
Externí odkaz:
https://doaj.org/article/9dedeab0e3d64702acb4472c7ab59e14
Autor:
Vadeboncoeur, Arnaud a, ⁎, Akyildiz, Ömer Deniz b, Kazlauskaite, Ieva a, Girolami, Mark a, c, Cirak, Fehmi a
Publikováno v:
In Journal of Computational Physics 15 October 2023 491
Autor:
Katona, Leon R. a, ⁎, 1, Fazekas, Hannah M. a, 2, Brothers, Soren b, 3, Sibley, Paul K. b, Vadeboncoeur, Yvonne a
Publikováno v:
In Journal of Great Lakes Research October 2023 49(5):1190-1203