| Detection of lensing substructure using ALMA observations of the dusty galaxy SDP. 81 YD Hezaveh, N Dalal, DP Marrone, YY Mao, W Morningstar, D Wen, ... The Astrophysical Journal 823 (1), 37, 2016 | 394 | 2016 |
| Galaxy growth in a massive halo in the first billion years of cosmic history DP Marrone, JS Spilker, CC Hayward, JD Vieira, M Aravena, MLN Ashby, ... Nature 553 (7686), 51-54, 2018 | 275 | 2018 |
| A massive core for a cluster of galaxies at a redshift of 4.3 TB Miller, SC Chapman, M Aravena, MLN Ashby, CC Hayward, JD Vieira, ... Nature 556 (7702), 469-472, 2018 | 222 | 2018 |
| Globular cluster systems in brightest cluster galaxies: a near-universal luminosity function? WE Harris, W Morningstar, OY Gnedin, H O'Halloran, JP Blakeslee, ... The Astrophysical Journal 797 (2), 128, 2014 | 106 | 2014 |
| Density of states estimation for out of distribution detection W Morningstar, C Ham, A Gallagher, B Lakshminarayanan, A Alemi, ... International Conference on Artificial Intelligence and Statistics, 3232-3240, 2021 | 105 | 2021 |
| What do we mean by generalization in federated learning? H Yuan, W Morningstar, L Ning, K Singhal arXiv preprint arXiv:2110.14216, 2021 | 90 | 2021 |
| Data-driven reconstruction of gravitationally lensed galaxies using recurrent inference machines WR Morningstar, LP Levasseur, YD Hezaveh, R Blandford, P Marshall, ... The Astrophysical Journal 883 (1), 14, 2019 | 83 | 2019 |
| Fast molecular outflow from a dusty star-forming galaxy in the early Universe JS Spilker, M Aravena, M Béthermin, SC Chapman, CC Chen, ... Science 361 (6406), 1016-1019, 2018 | 76 | 2018 |
| High-resolution Chandra HETG spectroscopy of V404 Cygni in outburst AL King, JM Miller, J Raymond, MT Reynolds, W Morningstar The Astrophysical Journal Letters 813 (2), L37, 2015 | 59 | 2015 |
| Spatially resolved [C II] emission in SPT0346-52: a hyper-starburst galaxy merger at z∼ 5.7 KC Litke, DP Marrone, JS Spilker, M Aravena, M Béthermin, S Chapman, ... The Astrophysical Journal 870 (2), 80, 2019 | 54 | 2019 |
| The spin of the black hole 4U 1543-47 WR Morningstar, JM Miller The Astrophysical Journal Letters 793 (2), L33, 2014 | 39 | 2014 |
| THE SPIN OF THE BLACK HOLE GS 1124− 683: OBSERVATION OF A RETROGRADE ACCRETION DISK? WR Morningstar, JM Miller, RC Reis, K Ebisawa The Astrophysical Journal Letters 784 (2), L18, 2014 | 38 | 2014 |
| Automatic differentiation variational inference with mixtures W Morningstar, S Vikram, C Ham, A Gallagher, J Dillon International Conference on Artificial Intelligence and Statistics, 3250-3258, 2021 | 29 | 2021 |
| PACm-Bayes: Narrowing the empirical risk gap in the misspecified Bayesian regime WR Morningstar, A Alemi, JV Dillon International Conference on Artificial Intelligence and Statistics, 8270-8298, 2022 | 28 | 2022 |
| Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks WR Morningstar, YD Hezaveh, LP Levasseur, RD Blandford, PJ Marshall, ... arXiv preprint arXiv:1808.00011, 2018 | 27 | 2018 |
| Weighted ensemble self-supervised learning Y Ruan, S Singh, W Morningstar, AA Alemi, S Ioffe, I Fischer, JV Dillon arXiv preprint arXiv:2211.09981, 2022 | 19 | 2022 |
| Source structure and molecular gas properties from high-resolution CO imaging of SPT-selected dusty star-forming galaxies C Dong, JS Spilker, AH Gonzalez, Y Apostolovski, M Aravena, ... The Astrophysical Journal 873 (1), 50, 2019 | 15 | 2019 |
| A Seyfert-2-like Spectrum in the High-mass X-Ray Binary Microquasar V4641 Sgr WR Morningstar, JM Miller, MT Reynolds, D Maitra The Astrophysical Journal Letters 786 (2), L20, 2014 | 14 | 2014 |
| Augmentations vs algorithms: What works in self-supervised learning W Morningstar, A Bijamov, C Duvarney, L Friedman, N Kalibhat, L Liu, ... arXiv preprint arXiv:2403.05726, 2024 | 9 | 2024 |
| Hunting for dark matter subhalos in strong gravitational lensing with neural networks JYY Lin, H Yu, W Morningstar, J Peng, G Holder arXiv preprint arXiv:2010.12960, 2020 | 6 | 2020 |
Yashar HezavehStanford UniversityEmail verificata su stanford.edu
