Stephan Hoyer
Google (United States)(US)
Publications by Year
Research Areas
Meteorological Phenomena and Simulations, Model Reduction and Neural Networks, Spectroscopy and Quantum Chemical Studies, Climate variability and models, Photosynthetic Processes and Mechanisms
Most-Cited Works
- → xarray: N-D labeled Arrays and Datasets in Python(2017)1,558 cited
- → Learning skillful medium-range global weather forecasting(2023)1,016 cited
- → Learning data-driven discretizations for partial differential equations(2019)528 cited
- → mwaskom/seaborn: v0.8.1 (September 2017)(2017)415 cited
- → Free-Form Diffractive Metagrating Design Based on Generative Adversarial Networks(2019)374 cited
- → Neural general circulation models for weather and climate(2024)295 cited
- → The Cramer Distance as a Solution to Biased Wasserstein Gradients(2017)252 cited
- → Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics(2021)175 cited
- → mwaskom/seaborn: v0.9.0 (July 2018)(2018)174 cited
- → GraphCast: Learning skillful medium-range global weather forecasting(2022)169 cited