Eric Laloy

发表

Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network pdf

Eric Laloy, Romain Hérault, Diederik Jacques, 2017, ArXiv.

Approaching geoscientific inverse problems with adversarial vector-to-image domain transfer networks

Eric Laloy, Diederik Jacques, Niklas Linde, 2019 .

Approaching geoscientific inverse problems with vector-to-image domain transfer networks.

Eric Laloy, Diederik Jacques, Niklas Linde, 2020 .

HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

Kuolin Hsu, Daniel Kifer, Zheng Fang, 2018, Hydrology and Earth System Sciences.

Pixel-wise Conditioning of Generative Adversarial Networks pdf

Eric Laloy, Gilles Gasso, Romain H'erault, 2019, ESANN.

P-MOEA/D: A parallel decomposition-based multiple objective optimization scheme integrated within the DREAM software package

Eric Laloy, Jasper A. Vrugt, 2011 .

DiffeRential Evolution Adaptive Metropolis with Sampling From Past States

Eric Laloy, Jasper A. Vrugt, Cajo J. F. Ter Braak, 2010 .

HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences

Kuolin Hsu, Daniel Kifer, Zheng Fang, 2018 .

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation pdf

Eric Laloy, Romain Hérault, Gilles Gasso, 2019, ArXiv.

Bayesian full-waveform tomography with application to crosshole ground penetrating radar data

Eric Laloy, Niklas Linde, Jürg Hunziker, 2019, Geophysical Journal International.

Developing a methodology for the inverse estimation of root architectural parameters from field based sampling schemes

Jan Vanderborght, Mathieu Javaux, Eric Laloy, 2017 .

Addressing the Non-linearity of Full-waveform Inversion with a Probabilistic Approach

Eric Laloy, Niklas Linde, Jürg Hunziker, 2017 .

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

Eric Laloy, Gilles Gasso, Romain H'erault, 2018, Comput. Geosci..

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

Eric Laloy, Thomas Hermans, Robin Thibaut, 2021, Journal of Hydrology.

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

Eric Laloy, Frédéric Nguyen, Jorge Lopez-Alvis, 2021, Comput. Geosci..

Using deep generative neural networks to account for model errors in Markov chain Monte Carlo inversion

Eric Laloy, Niklas Linde, James Irving, 2021, Geophysical Journal International.

Bayesian inference of root architectural model parameters from synthetic field data

Jan Vanderborght, Eric Laloy, Harry Vereecken, 2021, Plant and Soil.

Parameter optimization and uncertainty analysis for plot-scale continuous modeling of runoff using a formal Bayesian approach.

Eric Laloy, Dominique Fasbender, Charles Bielders, 2010 .

Effective structural descriptors for natural and engineered radioactive waste confinement barriers

Eric Laloy, Diederik Jacques, János Urai, 2017 .

Modelling intercrop management impact on runoff and erosion in a continuous maize cropping system: Part II. Model Pareto multi‐objective calibration and long‐term scenario analysis using disaggregated rainfall

Eric Laloy, Charles Bielders, C. Bielders, 2009 .

Inference of multi-Gaussian relative permittivity fields by probabilistic inversion of crosshole ground-penetrating radar data

Eric Laloy, Niklas Linde, Jürg Hunziker, 2017 .

Probabilistic inference of multi‐Gaussian fields from indirect hydrological data using circulant embedding and dimensionality reduction

Eric Laloy, Diederik Jacques, Niklas Linde, 2015 .

Mass conservative three‐dimensional water tracer distribution from Markov chain Monte Carlo inversion of time‐lapse ground‐penetrating radar data

Eric Laloy, Niklas Linde, Jasper A. Vrugt, 2012 .

Electrical Resistivity in a Loamy Soil: Identification of the Appropriate Pedo‐Electrical Model

Marnik Vanclooster, Mathieu Javaux, Eric Laloy, 2011 .

Mass conservative three-dimensional water tracer 1 distribution from MCMC inversion of time-lapse 2 GPR data

Eric Laloy, Niklas Linde, Jasper A. Vrugt, 2012 .

How efficient are one-dimensional models to reproduce the hydrodynamic behavior of structured soils subjected to multi-step outflow experiments?

Marnik Vanclooster, Mathieu Javaux, Eric Laloy, 2010 .

Merging parallel tempering with sequential geostatistical resampling for improved posterior exploration of high-dimensional subsurface categorical fields

Gregoire Mariethoz, Eric Laloy, Diederik Jacques, 2016 .

Bayesian inversions of a dynamic vegetation model at four European grassland sites

Eric Laloy, Bernard Tychon, Julien Minet, 2015 .

Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

Eric Laloy, Diederik Jacques, Niklas Linde, 2017, 1710.09196.