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Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators.
Thomas J. Grady II
Rishi Khan
Mathias Louboutin
Ziyi Yin
Philipp A. Witte
Ranveer Chandra
Russell J. Hewett
Felix J. Herrmann
Published in:
CoRR (2022)
Keyphrases
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probabilistic model
computational model
objective function
probability distribution
mathematical model
neural network
image processing
high level
statistical model
parametric models
prior knowledge
experimental data
formal model
neural model
learned models