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An overview on deep learning-based approximation methods for partial differential equations.
Christian Beck
Martin Hutzenthaler
Arnulf Jentzen
Benno Kuckuck
Published in:
CoRR (2020)
Keyphrases
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data mining
partial differential equations
deep learning
approximation methods
machine learning
level set
image processing
unsupervised learning
image denoising
image enhancement
belief state
multiscale
mental models
neural network
pattern recognition
supervised learning