271 citations · 282 across the 5 of their papers we have counts for
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physics.geo-ph2021
Adaptive sequential Monte Carlo for posterior inference and model selection among complex geological priors
M. Amaya, N. Linde, E. Laloy
Bayesian model selection enables comparison and ranking of conceptual subsurface models described by spatial prior models, according to the support provided by available geophysica…
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-ph2018
Gradient-based deterministic inversion of geophysical data with Generative Adversarial Networks: is it feasible?
Eric Laloy, Niklas Linde, Cyprien Ruffino +3
Global probabilistic inversion within the latent space learned by a Generative Adversarial Network (GAN) has been recently demonstrated. Compared to inversion on the original model…