Niklas Boers

According to our database, Niklas Boers authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Internal Noise Interference to Warnings of Tipping Points in Generic Multidimensional Dynamical Systems.

Andreas Morr, Niklas Boers, Peter Ashwin

SIAM J. Appl. Dyn. Syst., 2024

Projected Neural Differential Equations for Learning Constrained Dynamics.

Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, Niklas Boers

CoRR, 2024

Deep Learning for predicting rate-induced tipping.

Yu Huang, Sebastian Bathiany, Peter Ashwin, Niklas Boers

CoRR, 2024

Machine Learning for predicting chaotic systems.

Christof Schötz, Alistair White, Maximilian Gelbrecht, Niklas Boers

CoRR, 2024

ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions.

Zijie Guo, Pumeng Lyu, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai

CoRR, 2024

Conditional diffusion models for downscaling & bias correction of Earth system model precipitation.

Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers

CoRR, 2024

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models.

Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers

CoRR, 2024

2023

ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks.

Pumeng Lyu, Tao Tang, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai

CoRR, 2023

Reconstructing Historical Climate Fields With Deep Learning.

Nils Bochow, Anna Poltronieri, Martin Rypdal, Niklas Boers

CoRR, 2023

Stabilized Neural Differential Equations for Learning Constrained Dynamics.

Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers

CoRR, 2023

Deep Learning for bias-correcting comprehensive high-resolution Earth system models.

Philipp Hess, Stefan Lange, Niklas Boers

CoRR, 2023

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints.

Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Geometric Deep Learning for Precipitation Nowcasting.

Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Physically constrained generative adversarial networks for improving precipitation fields from Earth system models.

Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers

Nat. Mac. Intell., October, 2022

Differentiable Programming for Earth System Modeling.

Maximilian Gelbrecht, Alistair White, Sebastian Bathiany, Niklas Boers

CoRR, 2022

2021

Towards neural Earth system modelling by integrating artificial intelligence in Earth system science.

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

Nat. Mach. Intell., 2021

Will Artificial Intelligence supersede Earth System and Climate Models?

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

CoRR, 2021

2016

Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales.

Dominik Traxl, Niklas Boers, Jürgen Kurths

CoRR, 2016