Pages that link to "Item:Q6403941"
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The following pages link to Approximation bounds for convolutional neural networks in operator learning (Q6403941):
Displaying 6 items.
- Application of adjoint operators to neural learning (Q917462) (← links)
- Improved architectures and training algorithms for deep operator networks (Q2149522) (← links)
- On Lipschitz Bounds of General Convolutional Neural Networks (Q5123816) (← links)
- Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
- On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields (Q6624464) (← links)
- Application of deep learning reduced-order modeling for single-phase flow in faulted porous media (Q6662482) (← links)
