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Kaj Nyström

Deep learning, stochastic gradient descent and diffusion maps

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Apr 06, 2022
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Solving the Dirichlet problem for the Monge-Ampère equation using neural networks

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Oct 07, 2021
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Neural ODEs as the Deep Limit of ResNets with constant weights

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Jun 28, 2019
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Neural network augmented inverse problems for PDEs

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Sep 14, 2018
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Data-driven discovery of PDEs in complex datasets

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Aug 31, 2018
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A unified deep artificial neural network approach to partial differential equations in complex geometries

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Aug 22, 2018
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