Picture for Philippe von Wurstemberger

Philippe von Wurstemberger

An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning

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Aug 23, 2024
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Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

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Oct 31, 2023
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Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations

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Feb 07, 2023
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A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations

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Sep 07, 2018
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Lower error bounds for the stochastic gradient descent optimization algorithm: Sharp convergence rates for slowly and fast decaying learning rates

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Mar 22, 2018
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