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We introduce a deep residual recurrent neural network (DR-RNN) as an efficient model reduction technique for nonlinear dynamical systems.
Nested sampling algorithm for subsurface flow model selection, uncertainty quantification, and nonlinear calibration
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Ahmed H. Elsheikh, Matthew Jackson, and Tara Laforce · 2012
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