84 citations · 156 across the 2 of their papers we have counts for
2 papers
cs.LG2017★ 84 cited
A machine learning approach for efficient uncertainty quantification using multiscale methods
Shing Chan, Ahmed H. Elsheikh
Several multiscale methods account for sub-grid scale features using coarse scale basis functions. For example, in the Multiscale Finite Volume method the coarse scale basis functi…
cs.CE2017★ 72 cited
DR-RNN: A deep residual recurrent neural network for model reduction
J. Nagoor Kani, Ahmed H. Elsheikh
We introduce a deep residual recurrent neural network (DR-RNN) as an efficient model reduction technique for nonlinear dynamical systems. The developed DR-RNN is inspired by the it…