We present a data-driven model for ground-motion synthesis using a Gener...
We propose the generative adversarial neural operator (GANO), a generati...
Neural operators generalize classical neural networks to maps between
in...
Seismic wave propagation forms the basis for most aspects of seismologic...
Satellite remote sensing is playing an increasing role in the rapid mapp...
We introduce a scheme for probabilistic hypocenter inversion with Stein
...
Robust estimation of ground motions generated by scenario earthquakes is...
The recent deep learning revolution has created an enormous opportunity ...
We present a machine-learning approach to classifying the phases of surf...
We present a novel approach for resolving modes of rupture directivity i...
Seismic phase association is a fundamental task in seismology that perta...