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Continual Learning in Practice., , , , and . CoRR, (2019)Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients., , and . CoRR, (2019)Usability of Probabilistic Programming Languages., , , , , , , , , and 6 other author(s). PPIG, Psychology of Programming Interest Group, (2019)Solving Schrödinger Bridges via Maximum Likelihood, , , and . (2021)cite arxiv:2106.02081Comment: 9 pages + appendix (total 28 pages).Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters., , and . BMC Bioinform., (2013)Extensions of the Informative Vector Machine., , and . Deterministic and Statistical Methods in Machine Learning, volume 3635 of Lecture Notes in Computer Science, page 56-87. Springer, (2004)Preface: Intelligent interactive data visualization., , , and . Data Min. Knowl. Discov., 27 (1): 1-3 (2013)Variational Inference for Uncertainty on the Inputs of Gaussian Process Models., , and . CoRR, (2014)Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design.. CoRR, (2019)Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)., , , , and . Dagstuhl Reports, 12 (9): 150-199 (September 2022)