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Christopher Shallue
Christopher Shallue
Center for Astrophysics | Harvard & Smithsonian
Dirección de correo verificada de cfa.harvard.edu
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Año
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
4992018
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
4662018
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
4302019
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
1892018
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
1502019
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
832019
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
762019
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
602022
Faster neural network training with data echoing
D Choi, A Passos, CJ Shallue, GE Dahl
arXiv preprint arXiv:1907.05550, 2019
592019
Deep Learning Tuning Playbook
V Godbole, GE Dahl, J Gilmer, CJ Shallue, Z Nado
https://github.com/google-research/tuning_playbook, 2023
47*2023
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
472022
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
422021
Permutation polynomials and orthomorphism polynomials of degree six
CJ Shallue, IM Wanless
Finite Fields and Their Applications 20, 84-92, 2013
382013
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
212023
Permutation polynomials of finite fields
CJ Shallue
arXiv preprint arXiv:1211.6044, 2012
13*2012
Show and tell: image captioning open sourced in TensorFlow
CJ Shallue
https://research.google/blog/show-and-tell-image-captioning-open-sourced-in …, 2017
9*2017
Show and tell: a neural image caption generator
CJ Shallue
https://github.com/tensorflow/models/tree/v1.13.0/research/im2txt 1, 2017
52017
Characterization of K2-167 b and CALM, a new stellar activity mitigation method
ZL de Beurs, A Vanderburg, E Thygesen, JE Rodriguez, X Dumusque, ...
Monthly Notices of the Royal Astronomical Society 529 (2), 1047-1066, 2024
32024
Measuring the limits of data parallel training for neural networks
CJ Shallue, GE Dahl
https://research.google/blog/measuring-the-limits-of-data-parallel-training …, 2019
32019
Warm Hawking Relics From Primordial Black Hole Domination
CJ Shallue, JB Muñoz, GZ Krnjaic
arXiv preprint arXiv:2406.08535, 2024
12024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20