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Adaptive stochastic Galerkin FEM with hierarchical tensor representations., , and . Numerische Mathematik, 136 (3): 765-803 (2017)Comparison of various uncertainty models with experimental investigations regarding the failure of plates with holes., , , , and . Reliab. Eng. Syst. Saf., (2020)Weighted sparsity and sparse tensor networks for least squares approximation., , and . CoRR, (2023)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)Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats., , , and . SIAM J. Financial Math., 14 (2): 383-406 (June 2023)Functional A Posteriori Error Estimation for Stationary Reaction-Convection-Diffusion Problems., and . Comput. Meth. in Appl. Math., 14 (2): 135-150 (2014)A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields., , , and . CoRR, (2024)Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures., , , and . CoRR, (2023)Spatial Modeling and Simulation of Diffusion in Nuclei of Living Cells., , , , , , and . CMSB, volume 3082 of Lecture Notes in Computer Science, page 161-171. Springer, (2004)