Bayesian seismic tomography based on velocity-space Stein variational gradient descent for physics-informed neural network

Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie

In this study, we propose a Bayesian seismic tomography inference method using physics-informed neural networks (PINN). PINN represents a recent advance in deep learning, offering…