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2020 – today
- 2024
[j3]Andreas Morr
, Niklas Boers, Peter Ashwin:
Internal Noise Interference to Warnings of Tipping Points in Generic Multidimensional Dynamical Systems. SIAM J. Appl. Dyn. Syst. 23(4): 2793-2806 (2024)- [i16]Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers:
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models. CoRR abs/2403.02774 (2024) - [i15]Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers:
Conditional diffusion models for downscaling & bias correction of Earth system model precipitation. CoRR abs/2404.14416 (2024) - [i14]Zijie Guo, Pumeng Lyu, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai:
ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions. CoRR abs/2405.15412 (2024) - [i13]Christof Schötz, Alistair White, Maximilian Gelbrecht, Niklas Boers:
Machine Learning for predicting chaotic systems. CoRR abs/2407.20158 (2024) - [i12]Yu Huang, Sebastian Bathiany, Peter Ashwin, Niklas Boers:
Deep Learning for predicting rate-induced tipping. CoRR abs/2409.07590 (2024) - [i11]Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, Niklas Boers:
Projected Neural Differential Equations for Learning Constrained Dynamics. CoRR abs/2410.23667 (2024) - [i10]Linus Heck, Maximilian Gelbrecht, Michael T. Schaub, Niklas Boers:
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations. CoRR abs/2412.17499 (2024) - 2023
- [c2]Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu:
Exploring Geometric Deep Learning for Precipitation Nowcasting. IGARSS 2023: 3760-3763 - [c1]Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers:
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints. NeurIPS 2023 - [i9]Philipp Hess, Stefan Lange, Niklas Boers:
Deep Learning for bias-correcting comprehensive high-resolution Earth system models. CoRR abs/2301.01253 (2023) - [i8]Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers:
Stabilized Neural Differential Equations for Learning Constrained Dynamics. CoRR abs/2306.09739 (2023) - [i7]Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu:
Exploring Geometric Deep Learning For Precipitation Nowcasting. CoRR abs/2309.05828 (2023) - [i6]Nils Bochow, Anna Poltronieri, Martin Rypdal, Niklas Boers:
Reconstructing Historical Climate Fields With Deep Learning. CoRR abs/2311.18348 (2023) - [i5]Pumeng Lyu, Tao Tang, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai:
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks. CoRR abs/2312.10429 (2023) - 2022
- [j2]Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers:
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models. Nat. Mac. Intell. 4(10): 828-839 (2022) - [i4]Maximilian Gelbrecht, Alistair White, Sebastian Bathiany, Niklas Boers:
Differentiable Programming for Earth System Modeling. CoRR abs/2208.13825 (2022) - [i3]Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers:
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models. CoRR abs/2209.07568 (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)
2010 – 2019
- 2016
- [i1]Dominik Traxl, Niklas Boers, Jürgen Kurths:
Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales. CoRR abs/1604.00971 (2016)
Coauthor Index
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