no code implementations • 17 Oct 2023 • Wojciech Sirko, Emmanuel Asiedu Brempong, Juliana T. C. Marcos, Abigail Annkah, Abel Korme, Mohammed Alewi Hassen, Krishna Sapkota, Tomer Shekel, Abdoulaye Diack, Sella Nevo, Jason Hickey, John Quinn
Mapping buildings and roads automatically with remote sensing typically requires high-resolution imagery, which is expensive to obtain and often sparsely available.
no code implementations • 28 Mar 2023 • Shreya Agrawal, Rob Carver, Cenk Gazen, Eric Maddy, Vladimir Krasnopolsky, Carla Bromberg, Zack Ontiveros, Tyler Russell, Jason Hickey, Sid Boukabara
Post-processing typically takes the outputs of a Numerical Weather Prediction (NWP) model and applies linear statistical techniques to produce improve localized forecasts, by including additional observations, or determining systematic errors at a finer scale.
no code implementations • 23 May 2022 • Ignacio Lopez-Gomez, Amy McGovern, Shreya Agrawal, Jason Hickey
We find that training models to minimize custom losses tailored to emphasize extremes leads to significant skill improvements in the heat wave prediction task, compared to NWMs trained on the mean squared error loss.
2 code implementations • 14 Nov 2021 • Lasse Espeholt, Shreya Agrawal, Casper Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner
An emerging class of weather models based on neural networks represents a paradigm shift in weather forecasting: the models learn the required transformations from data instead of relying on hand-coded physics and are computationally efficient.
no code implementations • 15 Oct 2020 • Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-fan Chen, John Anderson
Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness.
2 code implementations • 24 Mar 2020 • Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner
Weather forecasting is a long standing scientific challenge with direct social and economic impact.
no code implementations • 11 Dec 2019 • Shreya Agrawal, Luke Barrington, Carla Bromberg, John Burge, Cenk Gazen, Jason Hickey
High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather.
no code implementations • 29 Nov 2018 • Jiaqi Jiang, David Sell, Stephan Hoyer, Jason Hickey, Jianji Yang, Jonathan A. Fan
A key challenge in metasurface design is the development of algorithms that can effectively and efficiently produce high performance devices.
3 code implementations • 15 Aug 2018 • Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey, Michael P. Brenner
Many problems in theoretical physics are centered on representing the behavior of a physical theory at long wave lengths and slow frequencies by integrating out degrees of freedom which change rapidly in time and space.
Disordered Systems and Neural Networks Computational Physics