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20222026
most citedLocal Randomized Neural Networks with Discontinuous Galerkin Methods for Partial Differential Equations

6 citations · 12 across the 6 of their papers we have counts for

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cs.LG2026

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification

Zirui Deng, Jingbo Sun, Deyu Meng +1

Repeatedly solving parametric PDEs is essential for uncertainty quantification, design optimization and inverse problems, but conventional neural operators require expensive non-co…

math.NA2026

Randomized Neural Networks for Partial Differential Equation on Static and Evolving Surfaces

Jingbo Sun, Fei Wang

Surface partial differential equations arise in numerous scientific and engineering applications. Their numerical solution on static and evolving surfaces remains challenging due t…