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pro vyhledávání: '"Bridgman, Wyatt"'
In this paper, we explore whether the infection-rate of a disease can serve as a robust monitoring variable in epidemiological surveillance algorithms. The infection-rate is dependent on population mixing patterns that do not vary erratically day-to-
Externí odkaz:
http://arxiv.org/abs/2407.11233
In this paper, we develop a method to estimate the infection-rate of a disease, over a region, as a field that varies in space and time. To do so, we use time-series of case-counts of symptomatic patients as observed in the areal units that comprise
Externí odkaz:
http://arxiv.org/abs/2406.12810
Autor:
Bridgman, Wyatt, Balakrishnan, Uma, Jones, Reese, Chen, Jiefu, Wu, Xuqing, Safta, Cosmin, Huang, Yueqin, Khalil, Mohammad
In the field of surrogate modeling, polynomial chaos expansion (PCE) allows practitioners to construct inexpensive yet accurate surrogates to be used in place of the expensive forward model simulations. For black-box simulations, non-intrusive PCE al
Externí odkaz:
http://arxiv.org/abs/2312.04648
For predictive modeling relying on Bayesian inversion, fully independent, or ``mean-field'', Gaussian distributions are often used as approximate probability density functions in variational inference since the number of variational parameters is twi
Externí odkaz:
http://arxiv.org/abs/2307.06424
Autor:
Bridgman, Wyatt, Zhang, Xiaoxuan, Teichert, Greg, Khalil, Mohammad, Garikipati, Krishna, Jones, Reese
In this work we employ an encoder-decoder convolutional neural network to predict the failure locations of porous metal tension specimens based only on their initial porosities. The process we model is complex, with a progression from initial void nu
Externí odkaz:
http://arxiv.org/abs/2202.00078
Autor:
Bridgman, Wyatt Haynes
This thesis presents a nonlinear model reduction procedure for stochastic microdynamics models that possess mesoscale separation between fast and slow dynamics. Model reduction procedures typically reduce the dimension of deterministic dynamical syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8619488f8bd9b9ac514ae8cc4301412