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05/16/2023
A Note on Dimensionality Reduction in Deep Neural Networks using Empirical Interpolation Method
Empirical interpolation method (EIM) is a well-known technique to effici...
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07/10/2022
A stochastic Galerkin method with adaptive time-stepping for the Navier-Stokes equations
We study the time-dependent Navier-Stokes equations in the context of st...
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03/15/2022
NINNs: Nudging Induced Neural Networks
New algorithms called nudging induced neural networks (NINNs), to contro...
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11/22/2021
Data Assimilation with Deep Neural Nets Informed by Nudging
The nudging data assimilation algorithm is a powerful tool used to forec...
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02/28/2021
On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity
We study linear stability of solutions to the Navier–Stokes equations wi...
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03/03/2020
