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Core-KAN achieves superior performance in vision tasks by synthesizing spatial filters at arbitrary resolutions without the computational burden of per-location kernel generation.
HyperANFIS boosts predictive accuracy and rule quality by leveraging hyperbolic geometry, outperforming traditional ANFIS models.