no code implementations • 30 Apr 2024 • Ian W. McBrearty, Paul Segall
In this work, we train a deep learning graph neural network (GNN) to predict the time-to-failure of the caldera collapse events using only a fraction of the data recorded at the start of each cycle.
no code implementations • 15 Sep 2022 • Ian W. McBrearty, Gregory C. Beroza
The advent of deep learning pickers, which provide high rates of picks from closely overlapping small magnitude earthquakes, motivates revisiting the phase association problem and approaching it using the methods of deep learning.
