93 citations · 194 across the 6 of their papers we have counts for
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physics.geo-ph2023
Bayesian eikonal tomography using Gaussian processes
Jack B. Muir
Eikonal tomography has become a popular methodology for deriving phase velocity maps from surface wave phase delay measurements. Its high efficiency makes it popular for handling d…
physics.geo-ph2023★ 16 cited
A Deep Gaussian Process Model for Seismicity Background Rates
Jack B. Muir, Zachary E. Ross
The spatio-temporal properties of seismicity give us incisive insight into the stress state evolution and fault structures of the crust. Empirical models based on self-exciting poi…
physics.geo-ph2021★ 93 cited
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks
Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli +1
We introduce a scheme for probabilistic hypocenter inversion with Stein variational inference. Our approach uses a differentiable forward model in the form of a physics informed ne…