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Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers

Abhishek Chandra, Taniya Kapoor
Jun 3, 2026 at 04:00
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arXiv:2606.02623v1 Announce Type: cross Abstract: Solving time-dependent partial differential equations (PDEs) is an important problem in computational science and engineering. Physics-informed neural networks (PINNs) learn PDE solutions from governing equations. However, accurately capturing temporal evolution remains challenging. Recent...

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