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News/Stochastic Dimension Zeroth-Order Estimator: Stable and Memory-Efficient Training of PINNs
arxiv
PublishedSeptember 17, 2026 at 4:00 AM

Stochastic Dimension Zeroth-Order Estimator: Stable and Memory-Efficient Training of PINNs

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arXiv:2603.24002v5 Announce Type: replace Abstract: Physics-Informed Neural Networks (PINNs) for high-dimensional and high-order partial differential equations (PDEs) are primarily constrained by the $\mathcal{O}(d^k)$ spatial derivative complexity and the $\mathcal{O}(P)$ memory overhead of backpro

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