Certified dimension reduction in nonlinear Bayesian inverse problems von Zahm, Olivier, Cui, Tiangang, Law, Kody, Spantini, Alessio, Marzouk, Youssef

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Coupling Techniques for Nonlinear Ensemble Filtering von Spantini, Alessio, Baptista, Ricardo, Marzouk, Youssef

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Optimal Low-rank Approximations of Bayesian Linear Inverse Problems von Spantini, Alessio, Solonen, Antti, Cui, Tiangang, Martin, James, Tenorio, Luis, Marzouk, Youssef

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Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems von Spantini, Alessio, Cui, Tiangang, Willcox, Karen, Tenorio, Luis, Marzouk, Youssef

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Computing f‐divergences and distances of high‐dimensional probability density functions von Litvinenko, Alexander, Marzouk, Youssef, Matthies, Hermann G., Scavino, Marco, Spantini, Alessio

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Efficient multi-scale Gaussian process regression for massive remote sensing data with satGP v0.1.2 von Susiluoto, Jouni, Spantini, Alessio, Haario, Heikki, Härkönen, Teemu, Marzouk, Youssef

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Coupling techniques for nonlinear ensemble filtering von Spantini, Alessio, Baptista, Ricardo, Marzouk, Youssef

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Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations von Litvinenko, Alexander, Marzouk, Youssef, Matthies, Hermann G, Scavino, Marco, Spantini, Alessio

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Coupling techniques for nonlinear ensemble filtering von Spantini, Alessio, Baptista, Ricardo, Marzouk, Youssef

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Inference via low-dimensional couplings von Spantini, Alessio, Bigoni, Daniele, Marzouk, Youssef

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Certified dimension reduction in nonlinear Bayesian inverse problems von Zahm, Olivier, Cui, Tiangang, Law, Kody, Spantini, Alessio, Marzouk, Youssef

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A Stein variational Newton method von Detommaso, Gianluca, Cui, Tiangang, Spantini, Alessio, Marzouk, Youssef, Scheichl, Robert

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Certified dimension reduction in nonlinear Bayesian inverse problems von Zahm, Olivier, Cui, Tiangang, Law, Kody, Spantini, Alessio, Marzouk, Youssef

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Greedy inference with structure-exploiting lazy maps von Brennan, Michael C, Bigoni, Daniele, Zahm, Olivier, Spantini, Alessio, Marzouk, Youssef

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Sampling via Measure Transport: An Introduction von Marzouk, Youssef, Moselhy, Tarek, Parno, Matthew, Spantini, Alessio

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Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations von Litvinenko, Alexander, Marzouk, Youssef, Matthies, Hermann G, Scavino, Marco, Spantini, Alessio

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Goal-oriented optimal approximations of Bayesian linear inverse problems von Spantini, Alessio, Cui, Tiangang, Willcox, Karen, Tenorio, Luis, Marzouk, Youssef

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Inference via low-dimensional couplings von Spantini, Alessio, Bigoni, Daniele, Marzouk, Youssef

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An introduction to sampling via measure transport von Marzouk, Youssef, Moselhy, Tarek, Parno, Matthew, Spantini, Alessio

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Greedy inference with structure-exploiting lazy maps von Brennan, Michael C, Bigoni, Daniele, Zahm, Olivier, Spantini, Alessio, Marzouk, Youssef

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