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Celeste: Variational inference for a generative model of astronomical images.

J. Regier, A. Miller, J. McAuliffe, R. Adams, M. Hoffman, D. Lang, D. Schlegel, and Prabhat. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2095-2103. JMLR.org, (2015)

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Cataloging the Visible Universe Through Bayesian Inference at Petascale.J. Regier, K. Pamnany, K. Fischer, A. Noack, M. Lam, J. Revels, S. Howard, R. Giordano, D. Schlegel, J. McAuliffe and 2 other author(s). IPDPS, page 44-53. IEEE Computer Society, (2018)Stochastic Cubic Regularization for Fast Nonconvex Optimization.N. Tripuraneni, M. Stern, C. Jin, J. Regier, and M. Jordan. CoRR, (2017)Approximate Inference for Constructing Astronomical Catalogs from Images.J. Regier, A. Miller, D. Schlegel, R. Adams, J. McAuliffe, and Prabhat. CoRR, (2018)Fast Black-box Variational Inference through Stochastic Trust-Region Optimization.J. Regier, M. Jordan, and J. McAuliffe. NIPS, page 2402-2411. (2017)Celeste: Variational inference for a generative model of astronomical images.J. Regier, A. Miller, J. McAuliffe, R. Adams, M. Hoffman, D. Lang, D. Schlegel, and Prabhat. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2095-2103. JMLR.org, (2015)A Gaussian Process Model of Quasar Spectral Energy Distributions.A. Miller, A. Wu, J. Regier, J. McAuliffe, D. Lang, Prabhat, D. Schlegel, and R. Adams. NIPS, page 2494-2502. (2015)Stochastic Cubic Regularization for Fast Nonconvex Optimization.N. Tripuraneni, M. Stern, C. Jin, J. Regier, and M. Jordan. NeurIPS, page 2904-2913. (2018)Information Constraints on Auto-Encoding Variational Bayes.R. Lopez, J. Regier, M. Jordan, and N. Yosef. NeurIPS, page 6117-6128. (2018)A deep generative model for gene expression profiles from single-cell RNA sequencing.R. Lopez, J. Regier, M. Jordan, and N. Yosef. CoRR, (2017)A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements.R. Lopez, A. Nazaret, M. Langevin, J. Samaran, J. Regier, M. Jordan, and N. Yosef. CoRR, (2019)

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Celeste: Variational inference for a generative model of astronomical images.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Celeste: Variational inference for a generative model of astronomical images.

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Celeste: Variational inference for a generative model of astronomical images.