Robert E. Tillman

OrdShap: Feature Position Importance for Sequential Black-Box Models

Sequential deep learning models excel in domains with temporal or sequential dependencies, but their complexity necessitates post-hoc feature attribution methods for understanding their predictions. While existing techniques quantify feature importance, they inherently assume fixed feature ordering…