most citedSolving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.CE2023★ 1 cited

Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning

Maximilian Dinkel, Carolin M. Geitner, Gil Robalo Rei +2

Solving inverse problems using Bayesian methods can become prohibitively expensive when likelihood evaluations involve complex and large scale numerical models. A common approach t…

physics.med-ph2023

Pressure- and time-dependent alveolar recruitment/derecruitment in a spatially resolved patient-specific computational model for injured human lungs

Carolin M. Geitner, Lea J. Köglmeier, Inéz Frerichs +6

We present a novel computational model for the dynamics of alveolar recruitment/derecruitment (RD), which reproduces the underlying characteristics typically observed in injured lu…