psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light D Stark, B Launet, K Schawinski, C Zhang, M Koss, MD Turp, LF Sartori, ... Monthly Notices of the Royal Astronomical Society 477 (2), 2513-2527, 2018 | 23 | 2018 |
GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters A Ghosh, CM Urry, A Rau, L Perreault-Levasseur, M Cranmer, ... The Astrophysical Journal 935 (2), 138, 2022 | 11 | 2022 |
Using Machine Learning to Determine Morphologies of z< 1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey C Tian, CM Urry, A Ghosh, R Ofman, TT Ananna, C Auge, N Cappelluti, ... The Astrophysical Journal 944 (2), 124, 2023 | 4 | 2023 |
GaMPEN: An ML Framework for Estimating Galaxy Morphological Parameters and Quantifying Uncertainty A Ghosh, CM Urry, A Rau, L Perreault-Levasseur, M Cranmer, ... Machine Learning for Astrophysics, 58, 2022 | | 2022 |