389 citations · 1.5k across the 24 of their papers we have counts for
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physics.geo-ph2019
Approaching geoscientific inverse problems with vector-to-image domain transfer networks
Eric Laloy, Niklas Linde, Diederik Jacques
We present vec2pix, a deep neural network designed to predict categorical or continuous 2D subsurface property fields from one-dimensional measurement data (e.g., time series), the…
physics.geo-ph2019
Reduction of conceptual model uncertainty using ground-penetrating radar profiles: Field-demonstration for a braided-river aquifer
Guillaume Pirot, Emanuel Huber, James Irving +1
Hydrogeological flow and transport strongly depend on the connectivity of subsurface properties. Uncertainty concerning the underlying geological setting, due to a lack of field da…