Niklas Boers

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Diffusion Models

Chaotic Systems

Discriminative Methods

Top Venues

Nat. Mac. Intell.

Nat. Mach. Intell.

Publications

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 (2024)
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 (2024)
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 (2024)
Christof Schötz, Alistair White, Maximilian Gelbrecht, Niklas Boers
Machine Learning for predicting chaotic systems. CoRR (2024)
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 (2023)
Nils Bochow, Anna Poltronieri, Martin Rypdal, Niklas Boers
Reconstructing Historical Climate Fields With Deep Learning. CoRR (2023)
Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu
Exploring Geometric Deep Learning For Precipitation Nowcasting. CoRR (2023)
Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers
Stabilized Neural Differential Equations for Learning Constrained Dynamics. CoRR (2023)
Philipp Hess, Stefan Lange, Niklas Boers
Deep Learning for bias-correcting comprehensive high-resolution Earth system models. CoRR (2023)
Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints. NeurIPS (2023)
Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu
Exploring Geometric Deep Learning for Precipitation Nowcasting. IGARSS (2023)
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) (2022)
Maximilian Gelbrecht, Alistair White, Sebastian Bathiany, Niklas Boers
Differentiable Programming for Earth System Modeling. CoRR (2022)
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 (2022)
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 (2021)
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) (2021)
Dominik Traxl, Niklas Boers, Jürgen Kurths
Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales. CoRR (2016)