Superior Alternatives to MLPs? Kolmogorov-Arnold Networks Eclipse MLPs in Accuracy and Efficiency

In a new paper KAN: Kolmogorov-Arnold Networks, a research team introduces Kolmogorov-Arnold Networks (KANs) as promising alternatives to MLPs. These networks showcase superior performance in both accuracy and interpretability domains.

accuracy ai artificial intelligence deep-neural-networks domains eclipse efficiency interpretability kan machine learning machine learning & data science ml mlp multi layer perceptron networks paper performance research research team team technology universal approximation theorem