Interpreting and generalizing deep learning in physics-based problems with functional linear models

1 code implementation • 10 Jul 2023 • Amirhossein Arzani, Lingxiao Yuan, Pania Newell, Bei Wang

In this work, motivated by the field of functional data analysis (FDA), we propose generalized functional linear models as an interpretable surrogate for a trained deep learning model.

Operator learning