AIBullisharXiv – CS AI · Mar 36/103
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A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks
Researchers developed WS-KAN, the first weight-space architecture designed specifically for Kolmogorov-Arnold Networks (KANs), which learns directly from neural network parameters. The study shows KANs share permutation symmetries with MLPs and introduces a graph representation to better understand their computation structure.