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On the influence of over-parameterization in manifold based surrogates and deep neural operators.
Katiana Kontolati
Somdatta Goswami
Michael D. Shields
George Em Karniadakis
Published in:
J. Comput. Phys. (2023)
Keyphrases
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network architecture
neural network
tangent space
feature space
associative memory
morphological operators
riemannian metric
hebbian learning
nonlinear predictive control
image processing
low dimensional
manifold learning
recurrent neural networks
euclidean space
lower dimensional
neural computation