Eric Laloy

According to our database, Eric Laloy authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models.

Martin Spetlík, Jan Brezina, Eric Laloy

CoRR, 2024

2023

Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows.

Shiran Levy, Eric Laloy, Niklas Linde

Comput. Geosci., February, 2023

2021

Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder.

Jorge Lopez-Alvis, Eric Laloy, Frédéric Nguyen, Thomas Hermans

Comput. Geosci., 2021

A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area.

Robin Thibaut, Eric Laloy, Thomas Hermans

CoRR, 2021

2020

Pixel-wise conditioned generative adversarial networks for image synthesis and completion.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

Neurocomputing, 2020

2019

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques

Comput. Geosci., 2019

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

CoRR, 2019

Pixel-wise Conditioning of Generative Adversarial Networks.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2017

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

Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde

CoRR, 2017