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physics.geo-ph2026
Scaling-law-informed neural point processes for earthquake sequence forecasting
Tianlu Xiong, Zaibo Zhao, Yunrui Li +3
Earthquake sequence forecasting requires models that can learn nonlinear history dependence while retaining robust statistical structure. We develop a scaling-law-informed neural m…
physics.geo-ph2023★ 1 cited
A combining earthquake forecasting model between deep learning and Epidemic-Type Aftershock Sequence (ETAS) model
Haoyuan Zhang, Shuya Ke, Wenqi Liu +1
The scientific process of earthquake forecasting involves estimating the probability and intensity of earthquakes in a specific area within a certain timeframe, based on seismic ac…