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John Taylor

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PAUNet: Precipitation Attention-based U-Net for rain prediction from satellite radiance data

Nov 30, 2023
P. Jyoteeshkumar Reddy, Harish Baki, Sandeep Chinta, Richard Matear, John Taylor

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SSG2: A new modelling paradigm for semantic segmentation

Oct 12, 2023
Foivos I. Diakogiannis, Suzanne Furby, Peter Caccetta, Xiaoliang Wu, Rodrigo Ibata, Ondrej Hlinka, John Taylor

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Earth Virtualization Engines -- A Technical Perspective

Sep 16, 2023
Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas Schulthess, Thomas F. Stocker, John Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph Schär, Oliver Fuhrer, Bryan N. Lawrence

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Machine Learning based Parameter Sensitivity of Regional Climate Models -- A Case Study of the WRF Model for Heat Extremes over Southeast Australia

Jul 27, 2023
P. Jyoteeshkumar Reddy, Sandeep Chinta, Richard Matear, John Taylor, Harish Baki, Marcus Thatcher, Jatin Kala, Jason Sharples

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Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective

Oct 04, 2022
Peter Baumgartner, Daniel Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall

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Optimizing the optimizer for data driven deep neural networks and physics informed neural networks

May 16, 2022
John Taylor, Wenyi Wang, Biswajit Bala, Tomasz Bednarz

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A Deep Learning Model for Forecasting Global Monthly Mean Sea Surface Temperature Anomalies

Feb 21, 2022
John Taylor, Ming Feng

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Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series

Nov 11, 2021
Wenyi Wang, John Taylor, Biswajit Bala

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