IEEE

An Efficient Bayesian Inference for Geo-Electromagnetic Data Inversion Based on Surrogate Modeling With Adaptive Sampling DNN

Abstract: The conventional geo-electromagnetic data inversions are mostly based on gradient optimization methods. However, this type of method can only provide a single “optimal” inverse model under ...
IEEE

Bathymetric Prediction and Uncertainty Quantification Using a Bayesian Deep Neural Network Based on Gravity Data

Abstract: As seabed topography is closely related to the ocean gravity field, utilizing gravity data for seabed topography inversion has become the mainstream method. Although conventional deep neural ...