Reconstruction of three-dimensional porous media using generative adversarial neural networks. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2017)

Stochastic reconstruction of an oolitic limestone by generative adversarial networks. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2017)

Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2018)

Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks. - Lukas Mosser; Wouter Kimman; Jesper Sören Dramsch; Steve Purves; Alfredo De la Fuente; Graham Ganssle (CoRR, 2018)

Stochastic seismic waveform inversion using generative adversarial networks as a geological prior. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2018)

DeepFlow: History Matching in the Space of Deep Generative Models. - Lukas Mosser; Olivier Dubrule; Martin J. Blunt (CoRR, 2019)

Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks. - Andrea Gayon-Lombardo; Lukas Mosser; Nigel P. Brandon; Samuel J. Cooper (CoRR, 2020)

Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications. - Lukas Mosser; Ehsan Zabihi Naeini (CoRR, 2021)