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most citedActive operator inference for learning low-dimensional dynamical-system models from noisy data

2 citations · 5 across the 13 of their papers we have counts for

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math.NA2023★ 1 cited

Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes

Yuxiao Wen, Eric Vanden-Eijnden, Benjamin Peherstorfer

Training nonlinear parametrizations such as deep neural networks to numerically approximate solutions of partial differential equations is often based on minimizing a loss that inc…