2 citations · 4 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2026
Detecting Spatiotemporal b-Value Anomalies with a Progressive Deep Learning Architecture
Jonas Köhler, Wei Li, Johannes Faber +2
Identifying systematic patterns in seismicity that precede large earthquakes remains a central challenge in statistical seismology. In this work, we present a methodological framew…
physics.geo-ph2023★ 2 cited
Testing the Potential of Deep Learning in Earthquake Forecasting
Jonas Koehler, Wei Li, Johannes Faber +2
Reliable earthquake forecasting methods have long been sought after, and so the rise of modern data science techniques raises a new question: does deep learning have the potential…
physics.geo-ph2022★ 2 cited
Real-time Earthquake Monitoring using Deep Learning: a case study on Turkey Earthquake Aftershock Sequence
Wei Li, Jonas Koehler, Megha Chakraborty +3
Seismic phase picking and magnitude estimation are essential components of real time earthquake monitoring and earthquake early warning systems. Reliable phase picking enables the…