activity
20182023
most citedInverse Uncertainty Quantification using the Modular Bayesian Approach based on Gaussian Process, Part 1: Theory

136 citations · 357 across the 8 of their papers we have counts for

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stat.ML2022★ 13 cited

Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks

Lesego E. Moloko, Pavel M. Bokov, Xu Wu +1

Artificial Neural Networks (ANNs) have been successfully used in various nuclear engineering applications, such as predicting reactor physics parameters within reasonable time and…