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Wormhole Hamiltonian Monte Carlo., , and . AAAI, page 1953-1959. AAAI Press, (2014)Spherical Hamiltonian Monte Carlo for Constrained Target Distributions., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 629-637. JMLR.org, (2014)Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks, , and . (2021)cite arxiv:2101.03906.Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States., , and . J. Classif., 35 (3): 549-579 (2018)Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34409-34430. PMLR, (2023)Conjoined Dirichlet Process., , , and . CoRR, (2020)An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics., , , , and . Bioinform., 31 (20): 3282-3289 (2015)Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method., , , , and . CoRR, (2019)Gene function classification using Bayesian models with hierarchy-based priors., and . BMC Bioinform., (2006)Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes., , , , , and . NeurIPS, page 8261-8271. (2019)