1 citations · 1 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025★ 1 cited
A Structure-Preserving Framework for Solving Parabolic Partial Differential Equations with Neural Networks
Gaohang Chen, Lili Ju, Zhonghua Qiao
Solving partial differential equations (PDEs) with neural networks (NNs) has shown great potential in various scientific and engineering fields. However, most existing NN solvers m…
cs.LG2024
Neural Networks Trained by Weight Permutation are Universal Approximators
Yongqiang Cai, Gaohang Chen, Zhonghua Qiao
The universal approximation property is fundamental to the success of neural networks, and has traditionally been achieved by training networks without any constraints on their par…