Kolmogorov, AI, Neural Networks, Machine Learning.
traditional Multi-Layer Perceptrons (MLPs), KANs eschew weight matrices and biases in favor of 1-dimensional non-linearities that are directly fitted to the data. These non-linearities are aggregated to construct the final function. KANs are inspired by the Kolmogorov-Arnold representation theorem