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Nested Inductive Bias Framework for SPD Manifold Learning

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.04466v1 Announce Type: new Abstract: In Geometric Deep Learning, inductive biases serve two primary functions: enforcing manifold constraints and embedding relational priors. Currently, representation learning on SPD manifolds frequently relies on pullback Euclidean metrics, such as the…

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  1. 2026-09-07 04:00 · arXiv cs.LG
    Nested Inductive Bias Framework for SPD Manifold Learning

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