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Low-Rank Kolmogorov-Arnold Generator Flows for Interpretable Operator Learning
Neural operators that learn physical laws from data should generalize beyond their training distribution and expose the learned law in closed form. The Kolmogorov-Arnold neural operator achieves both for position-dependent dynamics by learning a dense pseudo-differential symbol over all positions an
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