Kolmogorov, AI, Neural Networks, Machine Learning.
especially beneficial for handling noisy data in complex domains such as physics experiments. In the context of KANs, B-splines replace the traditional weight parameters with a univariate function, enhancing the model’s ability to fit data and solve Partial Differential Equations (PDEs) with higher