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Spherical Hamiltonian Monte Carlo for Constrained Target Distributions., , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 629-637. JMLR.org, (2014)Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks, , и . (2021)cite arxiv:2101.03906.Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems., , , и . J. Comput. Phys., (2016)Bayesian spatiotemporal modeling for inverse problems., , и . Stat. Comput., 33 (4): 89 (августа 2023)Wormhole Hamiltonian Monte Carlo., , и . AAAI, стр. 1953-1959. AAAI Press, (2014)Calibrate, emulate, sample., , , , и . J. Comput. Phys., (2021)Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models.. J. Mach. Learn. Res., (2022)An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics., , , , и . Bioinform., 31 (20): 3282-3289 (2015)Nonparametric Fisher Geometry with Application to Density Estimation., , , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 101-110. AUAI Press, (2020)Split Hamiltonian Monte Carlo., , , и . Stat. Comput., 24 (3): 339-349 (2014)