93 citations · 93 across the 1 of their papers we have counts for
2 papers
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…
physics.comp-ph2020
EikoNet: Solving the Eikonal equation with Deep Neural Networks
Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross
The recent deep learning revolution has created an enormous opportunity for accelerating compute capabilities in the context of physics-based simulations. Here, we propose EikoNet,…