Pages that link to "Item:Q5170961"
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The following pages link to Sparse dynamics for partial differential equations (Q5170961):
Displaying 14 items.
- A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations (Q6116657) (← links)
- Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
- Sparse subsampling of flow measurements for finite-time Lyapunov exponent in domains with obstacles (Q6137782) (← links)
- Data-driven method to extract mean exit time and escape probability for dynamical systems driven by Lévy noises (Q6151512) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. V: Sparse kernel flows for 132 chaotic dynamical systems (Q6496480) (← links)
- Hausdorff metric based training of kernels to learn attractors with application to 133 chaotic dynamical systems (Q6558876) (← links)
- D2NO: efficient handling of heterogeneous input function spaces with distributed deep neural operators (Q6566058) (← links)
- On the sample complexity of stabilizing linear dynamical systems from data (Q6566152) (← links)
- Regularized least absolute deviation-based sparse identification of dynamical systems (Q6571784) (← links)
- Learning about structural errors in models of complex dynamical systems (Q6572173) (← links)
- Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE (Q6583632) (← links)
- MODNO: multi-operator learning with distributed neural operators (Q6609751) (← links)
- A discretization-invariant extension and analysis of some deep operator networks (Q6633297) (← links)
- How much can one learn a partial differential equation from its solution? (Q6645956) (← links)
