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Cataloging the Visible Universe through Bayesian Inference at Petascale.

, , , , , , , , , , , и . CoRR, (2018)

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Jon Largiadèr

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Jon Christensen

 

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Fast Black-box Variational Inference through Stochastic Trust-Region Optimization., , и . NIPS, стр. 2402-2411. (2017)Cataloging the visible universe through Bayesian inference in Julia at petascale., , , , , , , , , и 2 other автор(ы). J. Parallel Distributed Comput., (2019)Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference., , , , , , и . CoRR, (2016)Rao-Blackwellized Stochastic Gradients for Discrete Distributions., , , , и . CoRR, (2018)Celeste: Variational inference for a generative model of astronomical images., , , , , , , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 2095-2103. JMLR.org, (2015)GLAD: a mixed-membership model for heterogeneous tumor subtype classification., , и . Bioinform., 31 (2): 225-232 (2015)A Gaussian Process Model of Quasar Spectral Energy Distributions., , , , , , , и . NIPS, стр. 2494-2502. (2015)Variational Inference for Deblending Crowded Starfields., , и . CoRR, (2021)Approximate Inference for Constructing Astronomical Catalogs from Images., , , , , и . CoRR, (2018)Convexity, Classification, and Risk Bounds, , и . (2006)