3 papers
physics.geo-ph2026
Variability in Performance of a Machine-Learning Seismicity Catalog: Central Italy, 2016-2017
Jaehong Chung, Yifan Yu, Lauro Chiaraluce +2
Machine learning (ML) catalogs contain many more earthquakes than routine catalogs, but their performance in phase picking and earthquake detection has not been fully evaluated. We…
physics.geo-ph2025
Pervasive Label Errors in Seismological Machine Learning Datasets
Albert Leonardo Aguilar Suarez, Gregory Beroza
The recent boom in artificial intelligence and machine learning has been powered by large datasets with accurate labels, combined with algorithmic advances and efficient computing.…
physics.geo-ph2024
Double Difference Earthquake Location with Graph Neural Networks
Ian W. McBrearty, Gregory C. Beroza
Double difference earthquake relocation is an essential component of many earthquake catalog development workflows. This technique produces high-resolution relative relocations bet…