AI Research
Geodesic Flow Matching for Denoising High-Dimensional Structured Representations
Vector Symbolic Algebras (VSAs) enable robust neurosymbolic reasoning by encoding symbolic information into high-dimensional distributed representations. For continuous domains, Spatial Semantic Pointers (SSPs) extend this framework by mapping variables onto continuous toroidal m...
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ArXiv CS.AI
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ArXiv CS.AI
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This research addresses a fundamental geometric limitation in applying flow matching for denoising in high-dimensional structured representations like Spatial Semantic Pointers. By incorporating manifold awareness, they achieve significant improvements in accuracy and efficiency for complex tasks like neural SLAM.
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