activity
20172026
most citedTraining-image based geostatistical inversion using a spatial generative adversarial neural network

389 citations · 866 across the 15 of their papers we have counts for

collaborators

16 papers

cs.AI2026

Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model

Ali Aouf, Eric Laloy, Bart Rogiers +1

Characterizing the physical properties of clay and cementitious materials matters across many fields, from materials science to geological waste disposal. Property simulation typic…

physics.data-an2022

Improving Bayesian radiological profiling of waste drums using Dirichlet priors, Gaussian process priors, and hierarchical modeling

Eric Laloy, Bart Rogiers, An Bielen +2

We present three methodological improvements of the "SCK CEN approach" for Bayesian inference of the radionuclide inventory in radioactive waste drums, from radiological measuremen…

cs.LG2021★ 18 cited

Dimensionality Reduction for Categorical Data

Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma

Categorical attributes are those that can take a discrete set of values, e.g., colours. This work is about compressing vectors over categorical attributes to low-dimension discrete…

physics.chem-ph2021

Speeding up reactive transport simulations in cement systems by surrogate geochemical modeling: deep neural networks and k-nearest neighbors

Eric Laloy, Diederik Jacques

We accelerate reactive transport (RT) simulation by replacing the geochemical solver in the RT code by a surrogate model or emulator, considering either a trained deep neural netwo…

cs.LG2021★ 2 cited

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…

physics.geo-ph2021★ 13 cited

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…