Search Results for author:
Found 2 papers, 0 papers with code
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
The average of such an ensemble can be regarded as the `mean estimation', whereas its standard deviation can be used to construct `confidence intervals', which enable us to perform uncertainty quantification (UQ) with regard to the training process of neural networks.
Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization
We then discuss the influence of various parameters and operations on the CNN performance, with the utilization of autoencoder (AE).
Dimensionality Reduction
Fluid Dynamics
Computational Physics
