19 citations · 31 across the 4 of their papers we have counts for
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cs.LG2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani, Lingxiao Yuan, Pania Newell +1
Although deep learning has achieved remarkable success in various scientific machine learning applications, its opaque nature poses concerns regarding interpretability and generali…
cs.LG2022★ 12 cited
Machine Learning in Heterogeneous Porous Materials
Marta D'Elia, Hang Deng, Cedric Fraces +21
The "Workshop on Machine learning in heterogeneous porous materials" brought together international scientific communities of applied mathematics, porous media, and material scienc…