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Stephan Hoyer
Stephan Hoyer
在 google.com 的电子邮件经过验证 - 首页
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引用次数
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Array programming with NumPy
CR Harris, KJ Millman, SJ Van Der Walt, R Gommers, P Virtanen, ...
Nature 585 (7825), 357-362, 2020
175762020
mwaskom/seaborn: v0. 11.2 (August 2021)
M Waskom, M Gelbart, O Botvinnik, J Ostblom, P Hobson, S Lukauskas, ...
Zenodo, 2021
1035*2021
Xarray: N-D labeled arrays and datasets in Python
S Hoyer, J Hamman
Journal of Open Research Software 5 (1), 2017
9832017
Machine learning–accelerated computational fluid dynamics
D Kochkov, JA Smith, A Alieva, Q Wang, MP Brenner, S Hoyer
Proceedings of the National Academy of Sciences 118 (21), e2101784118, 2021
8022021
Learning data-driven discretizations for partial differential equations
Y Bar-Sinai, S Hoyer, J Hickey, MP Brenner
Proceedings of the National Academy of Sciences 116 (31), 15344-15349, 2019
5712019
Lagrangian neural networks
M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho
arXiv preprint arXiv:2003.04630, 2020
4792020
Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
Science 382 (6677), 1416-1421, 2023
457*2023
The cramer distance as a solution to biased wasserstein gradients
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
4142017
Free-form diffractive metagrating design based on generative adversarial networks
J Jiang, D Sell, S Hoyer, J Hickey, J Yang, JA Fan
ACS nano 13 (8), 8872-8878, 2019
3272019
Efficient and modular implicit differentiation
M Blondel, Q Berthet, M Cuturi, R Frostig, S Hoyer, F Llinares-López, ...
Advances in neural information processing systems 35, 5230-5242, 2022
2172022
Limits of quantum speedup in photosynthetic light harvesting
S Hoyer, M Sarovar, KB Whaley
New Journal of Physics 12 (6), 065041, 2010
2002010
Assessing microscope image focus quality with deep learning
SJ Yang, M Berndl, D Michael Ando, M Barch, A Narayanaswamy, ...
BMC bioinformatics 19, 1-9, 2018
1642018
Kohn-Sham equations as regularizer: Building prior knowledge into machine-learned physics
L Li, S Hoyer, R Pederson, R Sun, ED Cubuk, P Riley, K Burke
Physical review letters 126 (3), 036401, 2021
1602021
Neural reparameterization improves structural optimization
S Hoyer, J Sohl-Dickstein, S Greydanus
arXiv preprint arXiv:1909.04240, 2019
912019
Machine learning guided aptamer refinement and discovery
A Bashir, Q Yang, J Wang, S Hoyer, W Chou, C McLean, G Davis, Q Gong, ...
Nature Communications 12 (1), 2366, 2021
772021
Learned discretizations for passive scalar advection in a two-dimensional turbulent flow
J Zhuang, D Kochkov, Y Bar-Sinai, MP Brenner, S Hoyer
Physical Review Fluids 6 (6), 064605, 2021
632021
Spatial propagation of excitonic coherence enables ratcheted energy transfer
S Hoyer, A Ishizaki, KB Whaley
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (4 …, 2012
512012
Generalized master equation with non-Markovian multichromophoric Förster resonance energy transfer for modular exciton densities
S Jang, S Hoyer, G Fleming, KB Whaley
Physical Review Letters 113 (18), 188102, 2014
432014
Realistic and verifiable coherent control of excitonic states in a light-harvesting complex
S Hoyer, F Caruso, S Montangero, M Sarovar, T Calarco, MB Plenio, ...
New Journal of Physics 16 (4), 045007, 2014
422014
corner. py: corner. py v2. 0.0
D Foreman-Mackey, W Vousden, A Price-Whelan, M Pitkin, V Zabalza, ...
Zenodo, 2016
402016
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