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20162025
most citedA proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations

84 citations · 138 across the 17 of their papers we have counts for

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Showing 2020 · math.NAShow all

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math.NA2020★ 10 cited

Multilevel Picard approximations for high-dimensional semilinear second-order PDEs with Lipschitz nonlinearities

Martin Hutzenthaler, Arnulf Jentzen, Thomas Kruse +1

The recently introduced full-history recursive multilevel Picard (MLP) approximation methods have turned out to be quite successful in the numerical approximation of solutions of h…