3 citations · 4 across the 4 of their papers we have counts for
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stat.ME2023★ 1 cited
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
Andrea Zanoni, Gianluca Geraci, Matteo Salvador +3
We study the problem of multifidelity uncertainty propagation for computationally expensive models. In particular, we consider the general setting where the high-fidelity and low-f…
physics.med-ph2023
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis
John D. Lee, Jakob Richter, Martin R. Pfaller +8
The substantial computational cost of high-fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning. New breakthroughs in dat…