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Elizabeth A. Barnes

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Colorado State University, Fort Collins, USA

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators

Jun 16, 2023
Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, Nathan M. Urban, Janni Yuval, Guang J. Zhang, Tian Zheng, Michael S. Pritchard

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Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience

Aug 19, 2022
Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff

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Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience

Feb 07, 2022
Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff

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Controlled abstention neural networks for identifying skillful predictions for classification problems

Apr 16, 2021
Elizabeth A. Barnes, Randal J. Barnes

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Controlled abstention neural networks for identifying skillful predictions for regression problems

Apr 16, 2021
Elizabeth A. Barnes, Randal J. Barnes

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Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset

Mar 18, 2021
Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes

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Will Artificial Intelligence supersede Earth System and Climate Models?

Jan 22, 2021
Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner

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Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability

Dec 04, 2019
Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff

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