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20232026
most citedWide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models

3 citations · 3 across the 6 of their papers we have counts for

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math.NA2026

Inf-Sup Neural Networks for High Dimensional PDEs

Ziren Chen, Hailiang Liu

Solving partial differential equations (PDEs) in high dimensions remains challenging due to the curse of dimensionality. We propose a neural-network-based framework that reformulat…

math.NA2024

Inf-Sup neural networks for high-dimensional elliptic PDE problems

Xiaokai Huo, Hailiang Liu

Solving high dimensional partial differential equations (PDEs) has historically posed a considerable challenge when utilizing conventional numerical methods, such as those involvin…