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)

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)

Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification. - Harriet L. Dawson; Olivier Dubrule; Cédric M. John (Comput. Geosci., 2023)