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Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data., , , , and . IEEE VIS (Short Papers), page 41-45. IEEE, (2020)Scalable Extended Dynamic Mode Decomposition Using Random Kernel Approximation., and . SIAM J. Sci. Comput., 41 (3): A1482-A1499 (2019)Differentiable programming for online training of a neural artificial viscosity function within a staggered grid Lagrangian hydrodynamics scheme., , and . Mach. Learn. Sci. Technol., 2 (2): 25015 (2021)Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures., , and . Technometrics, 55 (1): 47-56 (2013)Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data., , , , and . CoRR, (2024)Multi-Objective Latent Space Optimization of Generative Molecular Design Models., , , , and . CoRR, (2022)In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes., , , , , , and . ISAV@SC, page 31-36. ACM, (2021)In Situ Climate Modeling for Analyzing Extreme Weather Events., , , , , , , , and . ISAV@SC, page 18-23. ACM, (2021)A comparison of Latin hypercube and grid ensemble designs for the multivariate emulation of an Earth system model., and . Comput. Geosci., 36 (6): 746-755 (2010)Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks., , , and . CoRR, (2023)