7edccc661418aeb5761dbcdc06ad490c-Paper.pdf

Neural Information Processing Systems 

We prove that when a PDE's coefficients are representable bysmall neural networks, theparameters required toapproximate its solution scale polynomially with the input dimensiond and proportionally to the parameter counts of the coefficient networks.

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