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Latent Matters: Amortised Variational Inference With Constrained Optimisation and Learnable Priors.. Technical University of Munich, Germany, (2021)Continual Learning with Bayesian Neural Networks for Non-Stationary Data., , , , and . ICLR, OpenReview.net, (2020)Learning Flat Latent Manifolds with VAEs., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 1587-1596. PMLR, (2020)Fast Approximate Geodesics for Deep Generative Models., , , , , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 554-566. Springer, (2019)Latent Matters: Learning Deep State-Space Models., , , , and . NeurIPS, page 10234-10245. (2021)Learning Hierarchical Priors in VAEs., , , , and . NeurIPS, page 2866-2875. (2019)Increasing the Generalisaton Capacity of Conditional VAEs., , , , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 779-791. Springer, (2019)