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Maike Sonnewald
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2020 – today
- 2024
- [i7]Simon Dräger, Maike Sonnewald:
The Importance of Architecture Choice in Deep Learning for Climate Applications. CoRR abs/2402.13979 (2024) - [i6]Bryan E. Kaiser, Tailin Wu, Maike Sonnewald, Colin Thackray, Skylar Callis:
A Moonshot for AI Oracles in the Sciences. CoRR abs/2406.17836 (2024) - [i5]Katherine A. Rosenfeld, Maike Sonnewald, Sonia J. Jindal, Kevin A. McCarthy, Joshua L. Proctor:
Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI. CoRR abs/2407.12812 (2024) - 2023
- [i4]William Yik, Maike Sonnewald, Mariana C. A. Clare, Redouane Lguensat:
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. CoRR abs/2310.13916 (2023) - 2022
- [j2]Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu:
Automated identification of dominant physical processes. Eng. Appl. Artif. Intell. 116: 105496 (2022) - [i3]Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, Venkatramani Balaji:
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. CoRR abs/2205.00202 (2022) - 2021
- [j1]Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner:
Towards neural Earth system modelling by integrating artificial intelligence in Earth system science. Nat. Mach. Intell. 3(8): 667-674 (2021) - [i2]Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner:
Will Artificial Intelligence supersede Earth System and Climate Models? CoRR abs/2101.09126 (2021) - [i1]Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu:
Objective discovery of dominant dynamical processes with intelligible machine learning. CoRR abs/2106.12963 (2021)
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