Title: Efficient training of Kolmogorov-Arnold Networks (KANs) – methods, benchmarks, and applications   Abstract: KANs are nonlinear regression models with a specific architecture that is based on a composition of functions. They branched off from the Kolmogorov’s proof that any continuous multivariate function can be exactly represented by a specific composition of continuous univariate functions . The […]