3 citations · 4 across the 3 of their papers we have counts for
3 papers
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.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…
cs.LG2024★ 1 cited
Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise
Haoran Shen, Chen Zeng, Jiahui Wang +1
It has been observed that even a small amount of noise introduced into the dataset can significantly degrade the performance of KAN. In this brief note, we aim to quantitatively ev…