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Global Sensitivity Analysis for Statistical Model Parameters., , and . SIAM/ASA J. Uncertain. Quantification, 7 (1): 67-92 (2019)Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE., , and . CoRR, (2020)Image Segmentation for Dust Detection Using Semi-supervised Machine Learning., , , , , and . IEEE BigData, page 1745-1754. IEEE, (2020)Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets., , , , , and . DRBSD@SC, page 47-53. IEEE, (2021)A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression., , , , , , and . CLUSTER, page 247-258. IEEE, (2023)Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms., , , and . SIAM/ASA J. Uncertain. Quantification, 8 (1): 170-197 (2020)Online data analysis and reduction: An important Co-design motif for extreme-scale computers., , , , , , , , , and 18 other author(s). Int. J. High Perform. Comput. Appl., 35 (6): 617-635 (2021)Power grid frequency prediction using spatiotemporal modeling., , and . Stat. Anal. Data Min., 14 (6): 662-675 (2021)Neural networks for parameter estimation in intractable models., , , and . Comput. Stat. Data Anal., (September 2023)SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors., , , , , , , and . IEEE BigData, page 2716-2724. IEEE, (2020)