Fabrice Gamboa

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification

We measure the out-of-domain uncertainty in the prediction of Neural Networks using a statistical notion called "Lens Depth'' (LD) combined with Fermat Distance, which is able to capture precisely the "depth'' of a point with respect to a distribution in feature space, without any distributional ass…