KAN-Payne: A Controlled Evaluation of Kolmogorov–Arnold Networks for Stellar Spectral Emulation and Label Recovery
Kolmogorov–Arnold networks (KANs) replace the fixed activations of a multilayer perceptron (MLP) with learnable univariate edge functions. We evaluate KANs as Payne-style label-to-flux emulators using the public 1000-spectrum Kurucz grid released with The Payne. Two capacity-matched KAN–MLP pairs (approximately 2.3 and...