Open AccessEnabling Dark Energy Science with Deep Generative Models of Galaxy Images
Author(s) -
Siamak Ravanbakhsh,
François Lanusse,
Rachel Mandelbaum,
Jeff Schneider,
Barnabás Póczos
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10755
Subject(s) - autoencoder , dark energy , generative grammar , galaxy , calibration , cosmology , computer science , artificial intelligence , astrophysics , physics , deep learning , machine learning , quantum mechanics
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