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Code from Parameterized neural ordinary differential equations: applications to computational physics problems

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posted on 08.09.2021, 00:33 authored by Kookjin Lee, Eric J. Parish
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Parameterized neural ordinary differential equations: applications to computational physics problems
Proceedings of the Royal Society A: Mathematical, Physical & Engineering SciencesProceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences

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deep learningautoencodersmachine learningnonlinear manifoldsmodel reductionneural ordinary differential equationslatent-dynamics learning

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