Lukas Mosser

According to our database, Lukas Mosser authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2021

Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications.

Lukas Mosser, Ehsan Zabihi Naeini

CoRR, 2021

2020

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

2019

DeepFlow: History Matching in the Space of Deep Generative Models.

Lukas Mosser, Olivier Dubrule, Martin J. Blunt

CoRR, 2019

2018

Stochastic seismic waveform inversion using generative adversarial networks as a geological prior.

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

Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models.

Lukas Mosser, Olivier Dubrule, Martin J. Blunt

CoRR, 2018

2017

Stochastic reconstruction of an oolitic limestone by generative adversarial networks.

Lukas Mosser, Olivier Dubrule, Martin J. Blunt

CoRR, 2017

Reconstruction of three-dimensional porous media using generative adversarial neural networks.

Lukas Mosser, Olivier Dubrule, Martin J. Blunt

CoRR, 2017