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Computational Modeling
Residual-Based Error Correction for Neural Operator Accelerated Infinite-Dimensional Bayesian Inverse Problems
Residual-based error corrector technique is proposed and applied to improve the neural operator predictions for Bayesian inference problems.
Lianghao Cao
,
Thomas O'Leary-Roseberry
,
Prashant K. Jha
,
J. Tinsley Oden
,
Omar Ghattas
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Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI
A key parameter of interest recovered from hyperpolarized (HP) MRI measurements is the apparent pyruvate-to-lactate exchange rate, kPL, …
Prashant K. Jha
,
Christopher Walker
,
Drew Mitchell
,
J. Tinsley Oden
,
Dawid Schellingerhout
,
James A. Bankson
,
David T. Fuentes
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Bayesian-Based Predictions of COVID-19 Evolution in Texas Using Multispecies Mixture-Theoretic Continuum Models
We consider a mixture-theoretic continuum model of the spread of COVID-19 in Texas. The model consists of multiple coupled partial …
Prashant K. Jha
,
Lianghao Cao
,
J Tinsley Oden
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