24 citations · 48 across the 9 of their papers we have counts for
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stat.ML2020
Sparse Identification of Nonlinear Dynamical Systems via Reweighted -regularized Least Squares
Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan
This work proposes an iterative sparse-regularized regression method to recover governing equations of nonlinear dynamical systems from noisy state measurements. The method is insp…
stat.ML2020★ 10 cited
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
Subhayan De, Jolene Britton, Matthew Reynolds +3
Due to their high degree of expressiveness, neural networks have recently been used as surrogate models for mapping inputs of an engineering system to outputs of interest. Once tra…