HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks
HYDRA is a parameter-efficient hyperbolic extension of KAN that combines spline-based functional learning with representations in the Poincar\'e ball, and consistently achieves competitive or superior predictive performance while improving parameter efficiency and representation interpretability.