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Multi-Source Neural Variational Inference., , and . AAAI, page 4114-4121. AAAI Press, (2019)Continual Learning with Bayesian Neural Networks for Non-Stationary Data., , , , and . ICLR, OpenReview.net, (2020)Normalizing Kalman Filters for Multivariate Time Series Analysis., , , , , , , , and . NeurIPS, (2020)Learning Hierarchical Priors in VAEs., , , , and . NeurIPS, page 2866-2875. (2019)Latent Matters: Learning Deep State-Space Models., , , , and . NeurIPS, page 10234-10245. (2021)Intrinsic Anomaly Detection for Multi-Variate Time Series., , , , , , , , and . CoRR, (2022)On the detrimental effect of invariances in the likelihood for variational inference., , , , and . NeurIPS, (2022)Variational Bayes for Continual Learning and Time-Series Forecasting.. Technical University of Munich, Germany, (2023)Deep Explicit Duration Switching Models for Time Series., , , , , , , and . CoRR, (2021)Deep Rao-Blackwellised Particle Filters for Time Series Forecasting., , , , and . NeurIPS, (2020)