Leveraging Statistical Depth and Fermat Distance for Effective Out-of-Distribution Uncertainty Quantification
A non-parametric and non-intrusive method that leverages statistical Lens Depth and Fermat distance to effectively quantify out-of-distribution uncertainty without modifying the original model.