Pages that link to "Item:Q6361196"
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The following pages link to Convergence rate of DeepONets for learning operators arising from advection-diffusion equations (Q6361196):
Displaying 10 items.
- Space-time error estimates for deep neural network approximations for differential equations (Q2683168) (← links)
- Approximations with deep neural networks in Sobolev time-space (Q5075578) (← links)
- D2NO: efficient handling of heterogeneous input function spaces with distributed deep neural operators (Q6566058) (← links)
- Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation (Q6572185) (← links)
- On the training and generalization of deep operator networks (Q6573171) (← links)
- A causality-DeepONet for causal responses of linear dynamical systems (Q6584819) (← links)
- Neural and spectral operator surrogates: unified construction and expression rate bounds (Q6601288) (← links)
- MODNO: multi-operator learning with distributed neural operators (Q6609751) (← links)
- Transformers as neural operators for solutions of differential equations with finite regularity (Q6669055) (← links)
- Conformalized-DeepONet: a distribution-free framework for uncertainty quantification in deep operator networks (Q6669489) (← links)
