← Back to projects

Gravitational wave surrogate modeling

Deep Learning methods utilizing residual errors and bag-of-tricks learning for improved surrogate modeling of gravitational waveforms.

Modeling Deep Learning Gravitational waves
Gravitational wave surrogate modeling

Overview

This project was… A collaboration project between the CIDL research group and the Gravitational Waves Group, AUTh from the departments of Informatics and Physics of Aristotle University of Thessaloniki.

My contribution focused on exploring deep learning architectures as well as applying various tricks to reduce the learning errors.

This work was published in Elsevier Applied Soft Computing and is available here.