Nested Inductive Bias Framework for SPD Manifold Learning
This work introduces a Nested Inductive Bias framework that utilizes a two-stage diffeomorphic composition to formally pull back non-Euclidean target geometries onto the SPD manifold, and proposes the Rational Conformal Metric (RCM), designed to establish state-of-the-art geometric robustness against outliers by boundi...