A human artificial neural network, BeatSaber, and proper Time Series Prediction – Friday Faves

Excuse the break, but I had my thesis to finish, but that is the topic for another post. In this Friday Faves, we have a solid mix of a human neural network, playing BeatSaber without VR headsets using machine learning, and a new scikit for time series learning. The Stilwell Brain The series Mind Field […]

Research Talk — Deep Learning for 4D Pressure Saturation Inversion [Youtube]

I presented in Amsterdam during the Practical Reservoir Monitoring Workshop in Amsterdam. This is the accompanying video. Abstract In this work, we present a deep neural network inversion on map-based 4D seismic data for pressure and saturation. We present a novel neural network architecture that trains on synthetic data and provides insights into observed field […]

Cheaper Deep Learning by Transfer Learning Cats to Seismic [SEG Conference 2018]

This years SEG I got the opportunity to present some of my work on transfer learning. In automatic seismic interpretation, progress is preceived as incremental already, although the field has only been established fairly recently. It was shown with new deep neural networks, usually convolutional neural networks, that reproducing human seismic interpretation is possible. This […]