Machine Learning

Seismic Denoising meets Generative Image Models

Alex Saoulis December 18, 2023

'Santa Claus Looking at a Seismic Trace on a Monitor' created by DALL-E 3

What’s the connection between novel generative image models and seismic denoising? Daniele Trappolini from Sapienza Università di Roma has led an effort to utilise these exciting techniques for seismological applications. This blog post will give a beginner-friendly introduction to generative modelling and ‘diffusion’ models, before explaining how Daniele and his group have been ...[Read More]

Marsquake Detection with Machine Learning Methods

EGU Guest blogger December 19, 2022

Credit: NASA/JPL-Caltech

We interview Nikolaj Dahmen, a PhD student at ETH Zurich’s Institute of Geophysics, about how he uses Machine Learning methods to detect Marsquakes using data from NASA’s InSight Mission…. Why are marsquakes important to detect? Marsquakes generate seismic waves that travel from its source through the interior of the planet. The recordings of these waves carry information about the medium through ...[Read More]

Opinion: self-supervised Machine Learning in seismology

Martijn van den Ende December 12, 2022

Martijn van den Ende, a Postdoctoral research fellow at Université Côte d’Azur, writes about his thoughts on the state of Machine Learning in seismology… At this moment of writing, it is unlikely that any experienced seismologist is unaware of the recent advancements of Machine Learning (ML) methods in Earth Sciences. Some pioneering studies started paving the way for ML in the early 1 ...[Read More]