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Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series., , , , and . CoRR, (2018)Factorized Gaussian Process Variational Autoencoders., , and . CoRR, (2020)GP-VAE: Deep Probabilistic Time Series Imputation., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1651-1661. PMLR, (2020)Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps., , , and . CoRR, (2019)Sparse MoEs meet Efficient Ensembles., , , , , , , , , and 3 other author(s). Trans. Mach. Learn. Res., (2022)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI., , , , , , , , , and 15 other author(s). CoRR, (2024)PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees., , and . CoRR, (2020)Understanding Pathologies of Deep Heteroskedastic Regression., , , and . CoRR, (2023)Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks., , , and . CoRR, (2023)Data augmentation in Bayesian neural networks and the cold posterior effect., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1434-1444. PMLR, (2022)