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An integrated probabilistic framework for robot perception, learning and memory., , , , , and . ROBIO, page 1796-1801. IEEE, (2016)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)Solving Schrödinger Bridges via Maximum Likelihood, , , and . (2021)cite arxiv:2106.02081Comment: 9 pages + appendix (total 28 pages).Preface., and . AISTATS, volume 22 of JMLR Proceedings, JMLR.org, (2012)Spectral Dimensionality Reduction via Maximum Entropy.. AISTATS, volume 15 of JMLR Proceedings, page 51-59. JMLR.org, (2011)Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)., , , , and . Dagstuhl Reports, 12 (9): 150-199 (September 2022)Propagating uncertainty in microarray data analysis., , , , and . Briefings Bioinform., 7 (1): 37-47 (2006)Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities., , and . Bioinform., 22 (22): 2775-2781 (2006)Reducing the variability in cDNA microarray image processing by Bayesian inference., , , , and . Bioinform., 20 (4): 518-526 (2004)TFInfer: a tool for probabilistic inference of transcription factor activities., , , , , and . Bioinform., 26 (20): 2635-2636 (2010)