8 citations · 9 across the 3 of their papers we have counts for
3 papers
Application of deep learning to the estimation of normalization coefficients in diffusion-based covariance models
Folke K Skrunes, Mayeul Destouches, Anthony Weaver +3
Variational data assimilation in ocean models depends on the ability to model general correlation operators in the presence of coastlines. Grid-point filters based on diffusion ope…
A filtered multilevel Monte Carlo method for estimating the expectation of cell-centered discretized random fields
Jérémy Briant, Paul Mycek, Mayeul Destouches +5
In this paper, we investigate the use of multilevel Monte Carlo (MLMC) methods for estimating the expectation of discretized random fields. Specifically, we consider a setting in w…
Multivariate extensions of the Multilevel Best Linear Unbiased Estimator for ensemble-variational data assimilation
Mayeul Destouches, Paul Mycek, Selime Gürol
Multilevel estimators aim at reducing the variance of Monte Carlo statistical estimators, by combining samples generated with simulators of different costs and accuracies. In parti…