127 citations · 762 across the 47 of their papers we have counts for
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physics.comp-ph2019★ 127 cited
Time-series learning of latent-space dynamics for reduced-order model closure
Romit Maulik, Arvind Mohan, Bethany Lusch +3
We study the performance of long short-term memory networks (LSTMs) and neural ordinary differential equations (NODEs) in learning latent-space representations of dynamical equatio…
physics.comp-ph2019★ 13 cited
Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models
Balasubramanya T. Nadiga, Chiyu Jiang, Daniel Livescu
We focus on improving the accuracy of an approximate model of a multiscale dynamical system that uses a set of parameter-dependent terms to account for the effects of unresolved or…