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cs.LG2026
Nested Inductive Bias Framework for SPD Manifold Learning
Tushar Das
In Geometric Deep Learning, inductive biases serve two primary functions: enforcing manifold constraints and embedding relational priors. Currently, representation learning on SPD…
cs.LG2026
Beyond Rigid Geometries: The Spline-Pullback Metric for Universal Diffeomorphic SPD Representation Learning
Tushar Das, Subrata Dutta, Sarmistha Neogy +1
The integration of Symmetric Positive Definite (SPD) matrices into deep learning has historically relied on fixed algebraic Riemannian metrics. Analogous to hand-crafted features i…