Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data

10 July 2023

Papers citing "Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data"

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Title
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need? Xu Wu L. Moloko P. Bokov Gregory K. Delipei Joshua Kaizer K. Ivanov AI4CE 71 0 0 16 Mar 2025
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation Farah Alsafadi M. Yaseen Xu Wu 85 0 0 24 Oct 2024