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Lossless compression with state space models using bits back coding


Mar 19, 2021
James Townsend, Iain Murray

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Density Deconvolution with Normalizing Flows


Jul 13, 2020
Tim Dockhorn, James A. Ritchie, Yaoliang Yu, Iain Murray

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* Appearing at the second workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2020), Virtual Conference. 8 pages, 6 figures, 5 tables 

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Diverse Ensembles Improve Calibration


Jul 08, 2020
Asa Cooper Stickland, Iain Murray

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* Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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Ordering Dimensions with Nested Dropout Normalizing Flows


Jun 15, 2020
Artur Bekasov, Iain Murray

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On Contrastive Learning for Likelihood-free Inference


Feb 10, 2020
Conor Durkan, Iain Murray, George Papamakarios

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Scalable Extreme Deconvolution


Nov 26, 2019
James A. Ritchie, Iain Murray

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* Appearing at the Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada 

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CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting


Jul 29, 2019
Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras

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Neural Spline Flows


Jun 10, 2019
Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios

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