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COIN++: Neural Compression Across Modalities., , , , , and . Trans. Mach. Learn. Res., (2022)Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators., , , and . J. Mach. Learn. Res., (2020)LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 21205-21231. PMLR, (2022)Amortized Monte Carlo Integration., , and . CoRR, (2019)Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1676-1685. PMLR, (2022)COIN: COmpression with Implicit Neural representations., , , , and . CoRR, (2021)Expectation Programming., , , and . CoRR, (2021)COIN++: Data Agnostic Neural Compression., , , , , and . CoRR, (2022)Feedback Recurrent Autoencoder for Video Compression., , , , and . ACCV (4), volume 12625 of Lecture Notes in Computer Science, page 591-607. Springer, (2020)Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference., , , , , and . CoRR, (2017)