most citedMonte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 5 cited

Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

Ling Guo, Hao Wu, Xiaochen Yu +1

We introduce a sampling based machine learning approach, Monte Carlo physics informed neural networks (MC-PINNs), for solving forward and inverse fractional partial differential eq…