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Practical lossless compression with latent variables using bits back coding, , and . International Conference on Learning Representations, (2019)HiLLoC: lossless image compression with hierarchical latent variable models., , , and . ICLR, OpenReview.net, (2020)Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9136-9147. PMLR, (2021)One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 30633-30645. PMLR, (2023)Lossless compression with latent variable models. University College London (University of London), UK, (2021)British Library, EThOS.Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation., , and . J. Mach. Learn. Res., (2016)Compressing Multisets with Large Alphabets., , , , and . DCC, page 322-331. IEEE, (2022)HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models., , , and . CoRR, (2019)Accurate Modeling of Parallel Scientific Computations., and . SIGMETRICS, page 165-170. ACM, (1989)Modelling Perceptual Discrimination., , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 646-653. Springer, (2005)