Mlp, Neural Networks, Machine Learning, Artificial Intelligence, Universal Approximation.
functions at individual nodes, KANs employ learnable activation functions along edges, effectively replacing traditional linear weight matrices with adaptable 1D functions parameterized as splines. In KANs, nodes simply aggregate incoming signals without applying nonlinear transformations. KANs