Celeste: Variational inference for a generative model of astronomical images

3 June 2015

Papers citing "Celeste: Variational inference for a generative model of astronomical images"

7 / 7 papers shown

Title
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 38 6 0 27 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems D. Brayford John Brennan M. Allalen K. Hanley L. Iapichino L. ORiordan N. Moran 19 3 0 11 Oct 2021
Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier K. Pamnany Keno Fischer A. Noack Maximilian Lam ... Ryan Giordano D. Schlegel Jon D. McAuliffe R. Thomas P. Prabhat 29 16 0 31 Jan 2018
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference Jeffrey Regier Steven R. Howard Ryan Giordano Ryan P. Adams Andy Miller Jon D. McAuliffe Andreas Jensen 21 7 0 10 Nov 2016
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images Siamak Ravanbakhsh F. Lanusse Rachel Mandelbaum J. Schneider Barnabás Póczós 30 65 0 19 Sep 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 44 4,710 0 04 Jan 2016