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Christopher Shallue
Christopher Shallue
Center for Astrophysics | Harvard & Smithsonian
Verified email at cfa.harvard.edu
Title
Cited by
Cited by
Year
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
3512018
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
3272018
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
2472019
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
1362018
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
962019
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
572019
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
522019
Faster neural network training with data echoing
D Choi, A Passos, CJ Shallue, GE Dahl
arXiv preprint arXiv:1907.05550, 2019
362019
Permutation polynomials and orthomorphism polynomials of degree six
CJ Shallue, IM Wanless
Finite Fields and Their Applications 20, 84-92, 2013
322013
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
282021
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
252022
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, ...
The Astronomical Journal 164 (2), 49, 2022
122022
Permutation polynomials of finite fields
CJ Shallue
arXiv preprint arXiv:1211.6044, 2012
92012
Reconstructing cosmological initial conditions from late-time structure with convolutional neural networks
CJ Shallue, DJ Eisenstein
Monthly Notices of the Royal Astronomical Society 520 (4), 6256-6267, 2023
32023
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 11,537,949, 2022
2022
VizieR Online Data Catalog: Identifying Exoplanets with Deep Learning. IV.(de Beurs+, 2022)
ZL de Beurs, A Vanderburg, CJ Shallue, X Dumusque, AC Cameron, ...
VizieR Online Data Catalog, J/AJ/164/49, 2022
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
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