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Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs., , , and . SIAM J. Sci. Comput., 45 (2): 457- (April 2023)Weighted sparsity and sparse tensor networks for least squares approximation., , and . CoRR, (2023)Pricing high-dimensional Bermudan options with hierarchical tensor formats., , , and . CoRR, (2021)Tensor-Train Kernel Learning for Gaussian Processes., , and . COPA, volume 179 of Proceedings of Machine Learning Research, page 253-272. PMLR, (2022)OptTopo: Automated set-point optimization for coupled systems using topology information., , , , and . CoDIT, page 224-229. IEEE, (2022)Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion., , and . Stat. Comput., 32 (2): 27 (2022)An Adaptive Multilevel Monte Carlo Method with Stochastic Bounds for Quantities of Interest with Uncertain Data., , and . SIAM/ASA J. Uncertain. Quantification, 4 (1): 1219-1245 (2016)Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion., , and . CoRR, (2020)Comparison of various uncertainty models with experimental investigations regarding the failure of plates with holes., , , , and . Reliab. Eng. Syst. Saf., (2020)Adaptive stochastic Galerkin FEM with hierarchical tensor representations., , and . Numerische Mathematik, 136 (3): 765-803 (2017)