Draft:Kolmogorov-Arnold Network (KAN)

A Kolmogorov-Arnold Network (KAN) is a new class of feedforward neural networks inspired by the Kolmogorov–Arnold representation theorem. Unlike Multilayer Perceptrons (MLPs) which use a fixed activation function and weights at each neuron, KANs use learnable weight functions on their edges, modeled as splines.