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.LG2026
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.CV2025
Audio Frequency-Time Dual Domain Evaluation on Depression Diagnosis
Yu Luo, Nan Huang, Sophie Yu +5
Depression, as a typical mental disorder, has become a prevalent issue significantly impacting public health. However, the prevention and treatment of depression still face multipl…