Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities 事件

Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities arXiv:2410.04096v2 Announce Type: replace-cross Abstract: In this paper, we propose to use Sinc interpolation in the context of Kolmogorov-Arnold Networks, neural networks with learnable activation functions, which recently gained attention as alternatives to Multilayer Perceptron. Many different function representations have already been tried, but we show that Sinc interpolation proposes a viable alternativ