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'In-Between' Uncertainty in Bayesian Neural Networks, , , and . (2019)cite arxiv:1906.11537Comment: Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning.Neural network ensembles and variational inference revisited, , and . (2018)Time-Frequency Analysis as Probabilistic Inference., and . IEEE Trans. Signal Process., 62 (23): 6171-6183 (2014)Convolutional conditional neural processes for local climate downscaling, , , and . Geoscientific Model Development, 15 (1): 251-268 (2022)Gradient Estimators for Implicit Models., and . CoRR, (2017)Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning., , and . CoRR, (2018)Tuning Recurrent Neural Networks with Reinforcement Learning., , , and . ICLR (Workshop), OpenReview.net, (2017)Efficient occlusive components analysis., , , , and . J. Mach. Learn. Res., 15 (1): 2689-2722 (2014)On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 231-239. JMLR.org, (2016)Invariant Models for Causal Transfer Learning., , , and . J. Mach. Learn. Res., (2018)