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Structured Weight Priors for Convolutional Neural Networks., , and . CoRR, (2020)On the Expressiveness of Approximate Inference in Bayesian Neural Networks., , , and . NeurIPS, (2020)How Tight Can PAC-Bayes be in the Small Data Regime?, , , and . NeurIPS, page 4093-4105. (2021)Evaluating Approximate Inference in Bayesian Deep Learning., , , , , , , , , and . NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 113-124. PMLR, (2021)Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics., , , , , , , and . CoRR, (2023)Collapsed Variational Bounds for Bayesian Neural Networks., , , and . NeurIPS, page 25412-25426. (2021)Autoregressive Conditional Neural Processes., , , , , , , , and . ICLR, OpenReview.net, (2023)Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks, , , and . (2019)cite arxiv:1909.00719.'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.Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes., , , , , and . NeurIPS, (2020)