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Adaptive Monte Carlo analysis for strongly nonlinear stochastic systems.. Reliab. Eng. Syst. Saf., (2018)Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold., и . CoRR, (2020)Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling., , и . J. Comput. Phys., (ноября 2023)Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion., , , и . CoRR, (2023)Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification., , , и . Reliab. Eng. Syst. Saf., (2015)Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference., , и . CoRR, (2022)Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation., , , , , , и . CoRR, (2021)Mapping model validation metrics to subject matter expert scores for model adequacy assessment., , , и . Reliab. Eng. Syst. Saf., (2014)UQpy v4.1: Uncertainty quantification with Python., , , , , , , , , и 2 other автор(ы). SoftwareX, (декабря 2023)Physics-informed polynomial chaos expansions., , и . J. Comput. Phys., (2024)