📚 The Kolmogorov-Arnold Theorem Revisited: Why Averaging Functions Work Better

Kolmogorov-Arnold Networks (KANs) have emerged as a promising alternative to traditional Multi-Layer Perceptrons (MLPs). Inspired by the Kolmogorov-Arnold representation theorem, these networks utilize neurons that perform simple summation operations. However, the current implementation of KANs poses some challenges in practical applications. Currently, researchers are investigating the possibility of identifying alternative multivariate functions for KAN neurons […]

The post The Kolmogorov-Arnold Theorem Revisited: Why Averaging Functions Work Better appeared first on MarkTechPost.