| Identifying exoplanets with deep learning: A five-planet resonant chain around kepler-80 and an eighth planet around kepler-90 CJ Shallue, A Vanderburg The Astronomical Journal 155 (2), 94, 2018 | 273 | 2018 |
| Measuring the effects of data parallelism on neural network training CJ Shallue, J Lee, J Antognini, J Sohl-Dickstein, R Frostig, GE Dahl Journal of Machine Learning Research 20 (112), 1-49, 2018 | 248 | 2018 |
| On empirical comparisons of optimizers for deep learning D Choi, CJ Shallue, Z Nado, J Lee, CJ Maddison, GE Dahl arXiv preprint arXiv:1910.05446, 2019 | 160 | 2019 |
| Embedding text in hyperbolic spaces B Dhingra, CJ Shallue, M Norouzi, AM Dai, GE Dahl Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 59-69, 2018 | 102 | 2018 |
| Which algorithmic choices matter at which batch sizes? insights from a noisy quadratic model G Zhang, L Li, Z Nado, J Martens, S Sachdeva, G Dahl, C Shallue, ... Advances in neural information processing systems 32, 2019 | 66 | 2019 |
| Identifying exoplanets with deep learning. ii. two new super-earths uncovered by a neural network in k2 data A Dattilo, A Vanderburg, CJ Shallue, AW Mayo, P Berlind, A Bieryla, ... The Astronomical Journal 157 (5), 169, 2019 | 42 | 2019 |
| Identifying exoplanets with deep learning. III. Automated triage and vetting of TESS candidates L Yu, A Vanderburg, C Huang, CJ Shallue, IJM Crossfield, BS Gaudi, ... The Astronomical Journal 158 (1), 25, 2019 | 32 | 2019 |
| Permutation polynomials and orthomorphism polynomials of degree six CJ Shallue, IM Wanless Finite Fields and Their Applications 20, 84-92, 2013 | 28 | 2013 |
| Faster neural network training with data echoing D Choi, A Passos, CJ Shallue, GE Dahl arXiv preprint arXiv:1907.05550, 2019 | 26 | 2019 |
| A large batch optimizer reality check: Traditional, generic optimizers suffice across batch sizes Z Nado, JM Gilmer, CJ Shallue, R Anil, GE Dahl arXiv preprint arXiv:2102.06356, 2021 | 18 | 2021 |
| Permutation polynomials of finite fields CJ Shallue arXiv preprint arXiv:1211.6044, 2012 | 9 | 2012 |
| Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks ZL de Beurs, A Vanderburg, CJ Shallue, X Dumusque, AC Cameron, ... arXiv preprint arXiv:2011.00003, 2020 | 2 | 2020 |
| The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities LL Zhao, DA Fischer, EB Ford, A Wise, M Cretignier, S Aigrain, ... The Astronomical Journal 163 (4), 171, 2022 | 1 | 2022 |
| VizieR Online Data Catalog: The EXPRES Stellar Signals Project. II. RVel (Zhao+, 2022) LL Zhao, DA Fischer, EB Ford, A Wise, M Cretignier, S Aigrain, ... VizieR Online Data Catalog, J/AJ/163/171, 2022 | | 2022 |
| A Machine Learning Inspired Method Reveals the Mass of K2-167 b ZL de Beurs, A Vanderburg, CJ Shallue, JE Rodriguez, S Zieba, A Mortier, ... Posters from the TESS Science Conference II (TSC2, 134, 2021 | | 2021 |
| Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks Z de Beurs, A Vanderburg, CJ Shallue, Harps-N Collaboration Bulletin of the American Astronomical Society 53 (3), 1019, 2021 | | 2021 |
| Identifying Exoplanets with Deep Learning: Removing Stellar Activity Signals from Radial Velocities Using Neural Networks ZL de Beurs, A Vanderburg, CJ Shallue Bulletin of the American Physical Society, 2021 | | 2021 |
| Systems and Methods for Reducing Idleness in a Machine-Learning Training System Using Data Echoing D Choi, AT Passos, CJ Shallue, GE Dahl US Patent App. 16/871,527, 2020 | | 2020 |
| Removing Stellar Activity from RVs Using Artificial Intelligence ZL de Beurs, A Vanderburg, CJ Shallue, ... American Astronomical Society Meeting Abstracts# 236 236, 107.07, 2020 | | 2020 |
| Identifying Exoplanets with Deep Learning: New Discoveries and Progress towards Planet Occurrence Rates in Kepler, K2, and TESS A Vanderburg, CJ Shallue, A Dattilo, L Yu AAS/Division for Extreme Solar Systems Abstracts 51, 103.03, 2019 | | 2019 |
George E. DahlGoogle Inc.Verified email at google.com
