Jesper Sören Dramsch

According to our database, Jesper Sören Dramsch authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robustness of AI-based weather forecasts in a changing climate.

Thomas Rackow, Nikolay Koldunov, Christian Lessig, Irina Sandu, Mihai Alexe, Matthew Chantry, Mariana Clare, Jesper Sören Dramsch, Florian Pappenberger, Xabier Pedruzo-Bagazgoitia, Steffen Tietsche, Thomas Jung

CoRR, 2024

Regional data-driven weather modeling with a global stretched-grid.

Thomas Nils Nipen, Håvard Homleid Haugen, Magnus Sikora Ingstad, Even Marius Nordhagen, Aram Farhad Shafiq Salihi, Paulina Tedesco, Ivar Ambjørn Seierstad, Jørn Kristiansen, Simon Lang, Mihai Alexe, Jesper Sören Dramsch, Baudouin Raoult, Gert Mertes, Matthew Chantry

CoRR, 2024

2022

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

Jesper Sören Dramsch, Anders Nymark Christensen, Colin MacBeth, Mikael Lüthje

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Bayesian Convolutional Neural Networks for Seismic Facies Classification.

Runhai Feng, Niels Balling, Dario Grana, Jesper Sören Dramsch, Thomas Mejer Hansen

IEEE Trans. Geosci. Remote. Sens., 2021

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

Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen

Comput. Geosci., 2021

2020

70 years of machine learning in geoscience in review.

Jesper Sören Dramsch

CoRR, 2020

2019

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

Jesper Sören Dramsch, Gustavo Corte, Hamed Amini, Colin MacBeth, Mikael Lüthje

CoRR, 2019

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