Mikael Lüthje

Including Physics in Deep Learning - An example from 4D seismic pressure saturation inversion pdf

Colin MacBeth, Hamed Amini, Jesper Sören Dramsch, 2019, ArXiv.

Complex-valued neural networks for machine learning on non-stationary physical data

Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen, 2019, Comput. Geosci..

Information Theory Considerations In Patch-Based Training Of Deep Neural Networks On Seismic Time-Series

Jesper Sören Dramsch, Mikael Lüthje, 2018 .

Deep learning application for 4D pressure saturation inversion compared to Bayesian inversion on North sea data

Colin MacBeth, Hamed Amini, Jesper Sören Dramsch, 2019 .

Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks

Colin MacBeth, Jesper Sören Dramsch, Mikael Lüthje, 2021, IEEE Transactions on Geoscience and Remote Sensing.

A new sea ice albedo scheme including melt ponds for ECHAM5 general circulation model

Mikael Lüthje, Jan-Gunnar Winther, Erich Roeckner, 2009 .

Measurement and modeling of ablation of the bottom of supraglacial lakes in western Greenland

Xavier Fettweis, Konrad Steffen, Mikael Lüthje, 2012 .

Spatial mapping of multi-year superimposed ice on the glacier Kongsvegen, Svalbard

Ola Brandt, Jack Kohler, Mikael Lüthje, 2008, Journal of Glaciology.

Modelling the evolution of supraglacial lakes on the West Greenland ice-sheet margin

Leif Toudal Pedersen, Mikael Lüthje, N. Reeh, 2006 .