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Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data., , , and . CoRR, (2021)Deep Neural Network Initialization With Decision Trees., , and . IEEE Trans. Neural Networks Learn. Syst., 30 (5): 1286-1295 (2019)Merlin: Enabling Machine Learning-Ready HPC Ensembles., , , , , , , , , and 11 other author(s). CoRR, (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)A multifidelity Bayesian optimization method for inertial confinement fusion design., , , and . CoRR, (2023)Transfer learning to model inertial confinement fusion experiments., , and . CoRR, (2018)Predicting the time-evolution of multi-physics systems with sequence-to-sequence models., , and . CoRR, (2018)Positivity Preservation and Advection Algorithms with Applications to Edge Plasma Turbulence., and . SIAM J. Sci. Comput., (2013)The data-driven future of high-energy-density physics., , , , , , , , , and 13 other author(s). Nat., 593 (7859): 351-361 (2021)