SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators 事件

SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators arXiv:2606.11518v1 Announce Type: cross Abstract: Fourier neural operators (FNOs) are effective and efficient surrogates for approximating solutions of PDEs and generalize across discretizations. However, owing to the reliance on frequency truncation to maintain learning efficiency of FNOs, empirical studies suggest that FNOs exhibit spectral bias toward low-frequency information, which may hinder the learning capabilit