SineKAN Replaces B-Splines with Sine Functions for Faster Inference
burkov · x · 2026-08-21
A paper from the University of Alabama introduces SineKAN, a KAN architecture that swaps heavy B-spline activations for re-weighted sine functions. It delivers substantial speedups across layer sizes and depths while matching standard NN accuracy on vision tasks.
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