Kernelization of Natural Gradient Methods for Physics Informed Neural Networks (PINNs) with connections to Galerkin methods
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Presentation of a kernelization framework for natural gradient methods applied to Physics-Informed Neural Networks (PINNs), highlighting connections to Galerkin methods.