Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales. - Dominik Traxl; Niklas Boers; Jürgen Kurths (CoRR, 2016)

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)

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)

Differentiable Programming for Earth System Modeling. - Maximilian Gelbrecht; Alistair White; Sebastian Bathiany; Niklas Boers (CoRR, 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., 2022)

Exploring Geometric Deep Learning for Precipitation Nowcasting. - Shan Zhao 007; Sudipan Saha; Zhitong Xiong; Niklas Boers; Xiao Xiang Zhu 001 (IGARSS, 2023)

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints. - Alistair White; Niki Kilbertus; Maximilian Gelbrecht; Niklas Boers (NeurIPS, 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 Constrained Dynamics. - Alistair White; Niki Kilbertus; Maximilian Gelbrecht; Niklas Boers (CoRR, 2023)

Reconstructing Historical Climate Fields With Deep Learning. - Nils Bochow; Anna Poltronieri; Martin Rypdal; Niklas Boers (CoRR, 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 001 (CoRR, 2023)

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)

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)

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 001 (CoRR, 2024)

Machine Learning for predicting chaotic systems. - Christof Schötz; Alistair White; Maximilian Gelbrecht; Niklas Boers (CoRR, 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)

Improving the Noise Estimation of Latent Neural Stochastic Differential Equations. - Linus Heck; Maximilian Gelbrecht; Michael T. Schaub; Niklas Boers (CoRR, 2024)

Deep learning for predicting rate-induced tipping. - Yu Huang; Sebastian Bathiany; Peter Ashwin; Niklas Boers (Nat. Mac. Intell., 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)

Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning. - Philipp Hess; Michael Aich; Baoxiang Pan; Niklas Boers (Nat. Mac. Intell., 2025)

Generative assimilation and prediction for weather and climate. - Shangshang Yang; Congyi Nai; Xinyan Liu; Weidong Li; Jie Chao; Jingnan Wang; Leyi Wang; Xichen Li; Xi Chen; Bo Lu; Ziniu Xiao; Niklas Boers; et al. (CoRR, 2025)

Diffusion models for probabilistic precipitation generation from atmospheric variables. - Michael Aich; Sebastian Bathiany; Philipp Hess; Yu Huang; Niklas Boers (CoRR, 2025)

Generating time-consistent dynamics with discriminator-guided image diffusion models. - Philipp Hess; Maximilian Gelbrecht; Christof Schötz; Michael Aich; Yu Huang; Shangshang Yang; Niklas Boers (CoRR, 2025)

Decadal sink-source shifts of forest aboveground carbon since 1988. - Zhen Qian; Sebastian Bathiany; Teng Liu; Lana L. Blaschke; Hoong Chen Teo; Niklas Boers (CoRR, 2025)

Machine-Precision Prediction of Low-Dimensional Chaotic Systems. - Christof Schötz; Niklas Boers (CoRR, 2025)