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Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data., , , and . CoRR, (2021)Merlin: Enabling Machine Learning-Ready HPC Ensembles., , , , , , , , , and 11 other author(s). CoRR, (2019)Deep Neural Network Initialization With Decision Trees., , and . IEEE Trans. Neural Networks Learn. Syst., 30 (5): 1286-1295 (2019)A HYDRA UQ Workflow for NIF Ignition Experiments., , , , , and . ISAV@SC, page 1-6. IEEE Computer Society, (2016)Enabling machine learning-ready HPC ensembles with Merlin., , , , , , , , , and 10 other author(s). Future Gener. Comput. Syst., (2022)Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications., , , , , , , , , and 6 other author(s). IEEE Trans. Vis. Comput. Graph., 26 (1): 291-300 (2020)Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications., , , , , , , , , and 6 other author(s). CoRR, (2019)Parallelizing Training of Deep Generative Models on Massive Scientific Datasets., , , , , , , , , and 4 other author(s). CLUSTER, page 1-10. IEEE, (2019)Positivity Preservation and Advection Algorithms with Applications to Edge Plasma Turbulence., and . SIAM J. Sci. Comput., (2013)A multifidelity Bayesian optimization method for inertial confinement fusion design., , , and . CoRR, (2023)