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Jesper Sören Dramsch
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2020 – today
- 2024
- [i6]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:
Regional data-driven weather modeling with a global stretched-grid. CoRR abs/2409.02891 (2024) - [i5]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:
Robustness of AI-based weather forecasts in a changing climate. CoRR abs/2409.18529 (2024) - 2022
- [j3]Jesper Sören Dramsch
, Anders Nymark Christensen
Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j2]Jesper Sören Dramsch
Complex-valued neural networks for machine learning on non-stationary physical data. Comput. Geosci. 146: 104643 (2021) - [j1]Runhai Feng
Bayesian Convolutional Neural Networks for Seismic Facies Classification. IEEE Trans. Geosci. Remote. Sens. 59(10): 8933-8940 (2021) - 2020
- [i4]Jesper Sören Dramsch
70 years of machine learning in geoscience in review. CoRR abs/2006.13311 (2020)
2010 – 2019
- 2019
- [i3]Jesper Sören Dramsch, Gustavo Corte, Hamed Amini, Colin MacBeth, Mikael Lüthje:
Including Physics in Deep Learning - An example from 4D seismic pressure saturation inversion. CoRR abs/1904.02254 (2019) - [i2]Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen:
Complex-valued neural networks for machine learning on non-stationary physical data. CoRR abs/1905.12321 (2019) - 2018
- [i1]Lukas Mosser, Wouter Kimman, Jesper Sören Dramsch
Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks. CoRR abs/1805.08826 (2018)
Coauthor Index
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