Citation:
Ntampaka M, Eisenstein DJ, Yuan S, Garrison LH. A Hybrid Deep Learning Approach to Cosmological Constraints from Galaxy Redshift Surveys. The Astrophysical Journal. 2020;889 (2) :151.
Daniel Eisenstein
Paul C. Mangelsdorf Professor of Astronomy
Center for Astrophysics | Harvard & Smithsonian
60 Garden St., MS #20, Cambridge, MA 02138, Office: Perkins P-326, (617) 495-7530
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