Physics‐Constrained Variational Autoencoder for Uncertainty Quantification of Full Waveform Inversion
We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements. The framewo...