Bayesian Inversion Beyond the Generator's Range: Reducing Non-physical Constraints from Generative Neural Networks

Pratyay Roy, Xuebin Zhao, Andrew Curtis

To address non-uniqueness in geophysical inversions, Generative Neural Networks (GNNs) are often used to parameterise geological or other prior information in a lower-dimensional s…