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Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation., and . CoRR, (2015)Transport Map Accelerated Markov Chain Monte Carlo., and . SIAM/ASA J. Uncertain. Quantification, 6 (2): 645-682 (2018)Stochastic spectral methods for efficient Bayesian solution of inverse problems., , and . J. Comput. Phys., 224 (2): 560-586 (2007)Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals., , , , and . SIAM/ASA J. Uncertain. Quantification, 6 (2): 762-786 (2018)A Koopman framework for rare event simulation in stochastic differential equations., , and . J. Comput. Phys., (2022)Sequential data assimilation with multiple models., , and . J. Comput. Phys., 231 (19): 6401-6418 (2012)An Approximation Theory Framework for Measure-Transport Sampling Algorithms., , , , and . CoRR, (2023)A unified approach to expectation-maximization and level set segmentation applied to stem cell and brain MRI images., , , , and . ISBI, page 1446-1450. IEEE, (2011)Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation., , , , , , and . ESANN, (2017)hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty., , , , , and . CoRR, (2021)