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George Mason University
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Despite FHRR's theoretical advantage, HRR's lower memory footprint and comparable end-to-end performance in spatial domains make it a surprisingly competitive VSA choice.
Forget simple addition: SRMU's relevance-gated updates let hyperdimensional memories adapt to streaming data with non-uniform sampling and non-stationary dynamics.
HDC gets a statistical upgrade: ConformalHDC wraps rigorous uncertainty quantification around computationally efficient neuromorphic learning, making it robust to outliers and adversarial attacks.
