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Found 3 papers, 1 papers with code
Non-Sequential Ensemble Kalman Filtering using Distributed Arrays
This work introduces a new, distributed implementation of the Ensemble Kalman Filter (EnKF) that allows for non-sequential assimilation of large datasets in high-dimensional problems.
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
Furthermore, in that context, covariance matrices can become too large to be stored.
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
Improving and optimizing oceanographic sampling is a crucial task for marine science and maritime resource management.
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