An end-to-end deep learning approach for extracting stochastic dynamical systems with $\alpha$-stable Lévy noise

Cheng Fang, Yubin Lu, Ting Gao +1

Recently, extracting data-driven governing laws of dynamical systems through deep learning frameworks has gained a lot of attention in various fields. Moreover, a growing amount of…