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Found 2 papers, 1 papers with code
Meta-learning Pseudo-differential Operators with Deep Neural Networks
This paper introduces a meta-learning approach for parameterized pseudo-differential operators with deep neural networks.
A multiscale neural network based on hierarchical nested bases
In recent years, deep learning has led to impressive results in many fields.
Numerical Analysis
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