10 citations · 26 across the 7 of their papers we have counts for
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cs.LG2019★ 10 cited
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows
Mathis Bode, Michael Gauding, Zeyu Lian +5
Turbulence is still one of the main challenges for accurately predicting reactive flows. Therefore, the development of new turbulence closures which can be applied to combustion pr…
cs.LG2019
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training
Sumedh Yadav, Mathis Bode
A scalable graphical method is presented for selecting, and partitioning datasets for the training phase of a classification task. For the heuristic, a clustering algorithm is requ…