Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs... Conference Paper May, 2021
Towards Efficient Uncertainty estimation in deep learning for robust energy prediction in crystal materials... Conference Paper May, 2021
A prediction interval method for uncertainty quantification of regression models... Conference Paper May, 2021
Generation and mitigation of runaway electrons: spatio-temporal effects in dynamic scenarios... Conference Paper May, 2021
Numerical analyses of exponential time-differencing schemes for the solution of atmospheric models... Journal April, 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models Conference Paper April, 2021
Linear convergence of accelerated conditional gradient algorithms in spaces of measures... Journal April, 2021
Machine learning for neutron reflectometry data analysis of two-layer thin films... Journal April, 2021
Imprecise global sensitivity analysis using bayesian multimodel inference and importance sampling... Journal February, 2021