Intrinsic Associative Memory on Riemannian Manifolds: Curvature, Capacity, and Emergent Modes
arXiv:2609.35948v1 Announce Type: cross Abstract: Geometry does more than constrain an associative memory: curvature determines what it remembers and which states it creates. We develop intrinsic dense associative memories on Riemannian manifolds by casting memory as Epanechnikov kernel-density mod…
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- 2026-09-30 04:00 · arXiv stat.ML
Intrinsic Associative Memory on Riemannian Manifolds: Curvature, Capacity, and Emergent Modes