Georgios Alexandridis

Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study

Kolmogorov–Arnold Networks (KANs) are a recently introduced neural architecture that replace fixed nonlinearities with trainable activation functions, offering enhanced flexibility and interpretability. While KANs have been applied successfully across scientific and machine learning tasks, their ini…