Eric Laloy

11 papers B 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models. CoRR Martin Spetlík, Jan Brezina, Eric Laloy
2023	J	`jnl`	Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows. Comput. Geosci. Shiran Levy, Eric Laloy, Niklas Linde
2021	J	`jnl`	A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area. CoRR Robin Thibaut, Eric Laloy, Thomas Hermans
2021	J	`jnl`	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. Jorge Lopez-Alvis, Eric Laloy, Frédéric Nguyen, Thomas Hermans
2020	J	`jnl`	Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2020	J	`jnl`	Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques
2019	B	`conf`	Pixel-wise Conditioning of Generative Adversarial Networks. ESANN Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Pixel-wise Conditioning of Generative Adversarial Networks. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2017	J	`jnl`	Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network. CoRR Eric Laloy, Romain Hérault, Diederik Jacques, Niklas Linde