Learning to regularize with a variational autoencoder for hydrologic inverse analysis

Daniel O'Malley, John K. Golden, Velimir V. Vesselinov

Inverse problems often involve matching observational data using a physical model that takes a large number of parameters as input. These problems tend to be under-constrained and…