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Uncertainty Quantification and Experimental Design for large-scale linear Inverse Problems under Gaussian Process Priors


Sep 08, 2021
Cédric Travelletti, David Ginsbourger, Niklas Linde

* under review 

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Fast ABC with joint generative modelling and subset simulation


Apr 16, 2021
Eliane Maalouf, David Ginsbourger, Niklas Linde

* 13 pages, 6 figures 

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Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network


Oct 25, 2017
Eric Laloy, Romain Hérault, John Lee, Diederik Jacques, Niklas Linde

* Advances in Water Resources (2017) 

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Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network


Aug 16, 2017
Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde

* Water Resources Research (2018) 

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