HyperSpace: A Generalized Framework for Spatial Encoding in Hyperdimensional Representations
📰 ArXiv cs.AI
arXiv:2604.15113v1 Announce Type: new Abstract: Vector Symbolic Architectures (VSAs) provide a well-defined algebraic framework for compositional representations in hyperdimensional spaces. We introduce HyperSpace, an open-source framework that decomposes VSA systems into modular operators for encoding, binding, bundling, similarity, cleanup, and regression. Using HyperSpace, we analyze and benchmark two representative VSA backends: Holographic Reduced Representations (HRR) and Fourier Holograph
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