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eCampus University, Karazin Kharkiv National University
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Learnable filter shapes in RF-KAN yield a performance boost that outstrips conventional convolutional approaches while slashing parameter counts by over 80%.
Four new classes of quadratic APN functions were discovered that defy existing databases, revealing untapped potential in the search space.
