Jesper Sören Dramsch

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 7

Top Topics

Class Conditional Densities

Machine Learning

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Comput. Geosci.

Publications

Jesper Sören Dramsch, Anders Nymark Christensen, Colin MacBeth, Mikael Lüthje
Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen
Complex-valued neural networks for machine learning on non-stationary physical data. Comput. Geosci. 146 (2021)
Runhai Feng, Niels Balling, Dario Grana, Jesper Sören Dramsch, Thomas Mejer Hansen
Bayesian Convolutional Neural Networks for Seismic Facies Classification. IEEE Trans. Geosci. Remote. Sens. 59 (10) (2021)
Jesper Sören Dramsch
70 years of machine learning in geoscience in review. CoRR (2020)
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 (2019)
Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen
Complex-valued neural networks for machine learning on non-stationary physical data. CoRR (2019)
Lukas Mosser, Wouter Kimman, Jesper Sören Dramsch, Steve Purves, Alfredo De la Fuente, Graham Ganssle
Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks. CoRR (2018)