Uncertainty Quantification and Machine Learning

Why is Uncertainty Quantification Hard for Industrial Users?

Graham Macpherson (Frazer-Nash Consultancy), Neil Headings (Frazer-Nash Consultancy)

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

Kayla Clements (Oregon State ), Gianluca Geraci (Sandia), Aaron Olson (Sandia)

Quantification of Deep Neural Networks Approximation Uncertainties for Transient Simulations

Mahmoud Yaseen (NCSU), Xu Wu (NCSU)

Analysis of Nuclear Research Reactor Experiments Using Machine Learning

Roberto E. Fairhurst-Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)

Data Augmentation with Generative Adversarial Networks

Farah Alsafadi (NCSU), Xu Wu (NCSU)