Pages that link to "Item:Q2138992"
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The following pages link to Neural network training using \(\ell_1\)-regularization and bi-fidelity data (Q2138992):
Displaying 6 items.
- Combining neural networks for function approximation under conditions of sparse data: the biased regression approach (Q3442634) (← links)
- A Neighborhood-Based Enhancement of the Gauss-Newton Bayesian Regularization Training Method (Q5423504) (← links)
- Multifidelity deep operator networks for data-driven and physics-informed problems (Q6048427) (← links)
- Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets (Q6159313) (← links)
- Bi-fidelity variational auto-encoder for uncertainty quantification (Q6202982) (← links)
- A multifidelity machine learning based semi-Lagrangian finite volume scheme for linear transport equations and the nonlinear Vlasov-Poisson system (Q6644357) (← links)
