The Neuro-Physical Inverter: A Modular Framework for Magnetotelluric Inversion Coupling Ensemble Conditioning with Residual Learning
The Neuro-Physical Inverter (NPI) is a modular framework for geophysical inversion that combines ensemble conditioning with residual learning to solve ill-posed problems, especially in higher dimensions. It uses an Ensemble-Conditional Gaussian Process to create a physically admissible baseline and then employs a neural network to correct the remaining errors, systematically reducing mean error while preserving the ensemble's uncertainty.