Kolmogorov, AI, Neural Networks, Machine Learning.
better generalization to unseen data. Interpretability: The intuitive visualization of KANs and their interaction with human users make them more transparent and less of a “black box” compared to MLPs. Scalability: KANs demonstrate faster neural scaling laws, allowing for more efficient training