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Convolutional Conditional Neural Processes., , , , , and . CoRR, (2019)Structured Weight Priors for Convolutional Neural Networks., , and . CoRR, (2020)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)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)Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks., , , and . CoRR, (2019)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)Denoising Diffusion Probabilistic Models in Six Simple Steps., , , , , and . CoRR, (2024)