90 citations · 137 across the 5 of their papers we have counts for
5 papers
Novel Airborne EM Image Appraisal Tool for Imperfect Forward Modelling
Wouter Deleersnyder, David Dudal, Thomas Hermans
Full 3D inversion of time-domain Airborne ElectroMagnetic (AEM) data requires specialists' expertise and a tremendous amount of computational resources, not readily available to ev…
Flexible quasi-2D inversion of time-domain AEM data, using a wavelet-based complexity measure
Wouter Deleersnyder, Benjamin Maveau, David Dudal +1
Regularization methods improve the stability of ill-posed inverse problems by introducing some a priori characteristics for the solution such as smoothness or sharpness. In this co…
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area
Robin Thibaut, Eric Laloy, Thomas Hermans
In this contribution, we predict the wellhead protection area (WHPA, target), the shape and extent of which is influenced by the distribution of hydraulic conductivity (K), from a…
Inversion of electromagnetic induction data using a novel wavelet-based and scale-dependent regularization term
Wouter Deleersnyder, Benjamin Maveau, Thomas Hermans +1
The inversion of electromagnetic induction data to a conductivity profile is an ill-posed problem. Regularization improves the stability of the inversion and, based on Occam's razo…
Deep generative models in inversion: a review and development of a new approach based on a variational autoencoder
Jorge Lopez-Alvis, Eric Laloy, Frédéric Nguyen +1
When solving inverse problems in geophysical imaging, deep generative models (DGMs) may be used to enforce the solution to display highly structured spatial patterns which are supp…