2 papers
cs.LG2024
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
Giuseppe Costantino, Sophie Giffard-Roisin, Mauro Dalla Mura +1
Geospatial data has been transformative for the monitoring of the Earth, yet, as in the case of (geo)physical monitoring, the measurements can have variable spatial and temporal sa…
physics.geo-ph2023
Deep learning detects uncataloged low-frequency earthquakes across regions
Jannes Münchmeyer, Sophie Giffard-Roisin, Marielle Malfante +4
Documenting the interplay between slow deformation and seismic ruptures is essential to understand the physics of earthquakes nucleation. However, slow deformation is often difficu…