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VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , and 49 other author(s). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Spotting Hallucinations in Inverse Problems with Data-Driven Priors, and . (2023)cite arxiv:2306.13272Comment: 7 pages 3 figures, Accepted at the ICML 2023 Workshop on Machine Learning for Astrophysics.Filling the gaps: Gaussian mixture models from noisy, truncated or incomplete samples., and . Astron. Comput., (2018)scarlet: Source separation in multi-band images by Constrained Matrix Factorization., , , , , , and . Astron. Comput., (2018)Mangrove: Learning Galaxy Properties from Merger Trees., , , , , and . CoRR, (2022)Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects., , , , , , , , , and 49 other author(s). CoRR, (2020)Crowdsourcing quality control for Dark Energy Survey images., , , , , , , , , and 40 other author(s). Astron. Comput., (2016)GalSim: The modular galaxy image simulation toolkit., , , , , , , , , and 5 other author(s). Astron. Comput., (2015)Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy., and . CoRR, (2021)Graph neural network-based resource allocation strategies for multi-object spectroscopy., and . Mach. Learn. Sci. Technol., 3 (1): 15023 (2022)