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cs.LG2026
Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting
Chen Zeng, Jiahui Wang, Qiao Wang
Existing theory suggests that Kolmogorov-Arnold Networks (KANs) can overcome the spectral bias commonly observed in neural networks under the assumption that inputs are statistical…
cs.LG2025
AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
Chen Zeng, Tiehang Xu, Qiao Wang
Traditional neural networks struggle to capture the spectral structure of complex signals. Fourier neural networks (FNNs) attempt to address this by embedding Fourier series compon…
cs.LG2024★ 3 cited
KAN versus MLP on Irregular or Noisy Functions
Chen Zeng, Jiahui Wang, Haoran Shen +1
In this paper, we compare the performance of Kolmogorov-Arnold Networks (KAN) and Multi-Layer Perceptron (MLP) networks on irregular or noisy functions. We control the number of pa…