Eric Laloy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Train A Neural Network

Generative Model

Image Synthesis

Top Venues

Comput. Geosci.

Publications

Martin Spetlík, Jan Brezina, Eric Laloy
Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models. CoRR (2024)
Shiran Levy, Eric Laloy, Niklas Linde
Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows. Comput. Geosci. 171 (2023)
Robin Thibaut, Eric Laloy, Thomas Hermans
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area. CoRR (2021)
Jorge Lopez-Alvis, Eric Laloy, Frédéric Nguyen, Thomas Hermans
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder. Comput. Geosci. 152 (2021)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR (2020)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing 416 (2020)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise Conditioning of Generative Adversarial Networks. CoRR (2019)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR (2019)
Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques
Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. 133 (2019)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise Conditioning of Generative Adversarial Networks. ESANN (2019)
Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde
Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network. CoRR (2017)