Intrinsic Associative Memory on Riemannian Manifolds: Curvature, Capacity, and Emergent Modes
cs.LG, cs.AI, stat.ML
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- On The Convergence of Gradient Descent for Finding the Riemannian Center of Mass
- Density Estimation on Manifolds with Boundary
- On a model of associative memory with huge storage capacity
- Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
- Dense Associative Memory with Epanechnikov Energy
- On Sparse Modern Hopfield Model
- Dense Associative Memory for Pattern Recognition
- Text Has Curvature
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