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cs.LG2026
Neural scaling laws and evolution of learnable activation functions of Kolmogorov-Arnold networks
Tilen Cadez, Sanghoon Lee, Kyoung-Min Kim
Kolmogorov-Arnold Networks (KANs) represent a compelling alternative to traditional Multi-Layer Perceptron (MLP)-based neural networks. By employing activation functions as learnab…
cs.LG2025★ 1 cited
Neural Scaling Laws for Deep Regression
Tilen Cadez, Kyoung-Min Kim
Neural scaling laws--power-law relationships between generalization errors and characteristics of deep learning models--are vital tools for developing reliable models while managin…