Bayesian full waveform inversion using deep learning surrogate models
Full waveform inversion (FWI) is among the most accurate seismic imaging techniques, yet its Bayesian formulation remains computationally prohibitive. The gold-standard method, Markov chain Monte Carlo (McMC), requires hundreds of thousands of expensive forward simulations. Variational inference (VI) approaches offer...