10 citations · 17 across the 3 of their papers we have counts for
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stat.ML2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Subhayan De, Matthew Reynolds, Malik Hassanaly +2
Recent advances in modeling large-scale complex physical systems have shifted research focuses towards data-driven techniques. However, generating datasets by simulating complex sy…
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…