324 citations · 484 across the 31 of their papers we have counts for
6 papers · 1 filter
Lithological Tomography with the Correlated Pseudo-Marginal Method
Lea Friedli, Niklas Linde, David Ginsbourger +1
We consider lithological tomography in which the posterior distribution of (hydro)geological parameters of interest is inferred from geophysical data by treating the intermediate g…
Continuous logistic Gaussian random measure fields for spatial distributional modelling
Athénaïs Gautier, David Ginsbourger
We study Spatial Logistic Gaussian Process (SLGP) models for non-parametric estimation of probability density fields using scattered samples of heterogeneous sizes. SLGPs are exami…
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
Cédric Travelletti, David Ginsbourger, Niklas Linde
We consider the use of Gaussian process (GP) priors for solving inverse problems in a Bayesian framework. As is well known, the computational complexity of GPs scales cubically in…
Fast ABC with joint generative modelling and subset simulation
Eliane Maalouf, David Ginsbourger, Niklas Linde
We propose a novel approach for solving inverse-problems with high-dimensional inputs and an expensive forward mapping. It leverages joint deep generative modelling to transfer the…
Goal-oriented adaptive sampling under random field modelling of response probability distributions
Athénaïs Gautier, David Ginsbourger, Guillaume Pirot
In the study of natural and artificial complex systems, responses that are not completely determined by the considered decision variables are commonly modelled probabilistically, r…
Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances
David Ginsbourger, Cedric Schärer
We generalize fast Gaussian process leave-one-out formulae to multiple-fold cross-validation, highlighting in turn the covariance structure of cross-validation residuals in both Si…