Aleatoric uncertainty for Errors-in-Variables models in deep regression

Jörg Martin, Clemens Elster

A Bayesian treatment of deep learning allows for the computation of uncertainties associated with the predictions of deep neural networks. We show how the concept of Errors-in-Vari…