Kolmogorov, AI, Neural Networks, Machine Learning.
interpretability. KANs replace the linear weight matrices in MLPs with learnable 1D functions parametrized as splines, which has led to faster neural scaling laws and improved interaction with human users. The Classic: Multi-Layer Perceptrons (MLPs) MLPs, established since the 1950s, mimic the