Niklas Boers - RankMe

32 papers A* 1C 1Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling. CoRR Michael Aich, Andreas Fürst, Florian Sestak, Carlos Ruiz-Gonzalez, Niklas Boers, Johannes Brandstetter
2025	J	`jnl`	Anticipating AMOC transitions via deep learning. CoRR Wenjie Zhang, Yu Huang, Sebastian Bathiany, Yechul Shin, Maya Ben-Yami, Suiping Zhou, Niklas Boers
2025	J	`jnl`	Decadal sink-source shifts of forest aboveground carbon since 1988. CoRR Zhen Qian, Sebastian Bathiany, Teng Liu, Lana L. Blaschke, Hoong Chen Teo, Niklas Boers
2025	J	`jnl`	Diffusion models for probabilistic precipitation generation from atmospheric variables. CoRR Michael Aich, Sebastian Bathiany, Philipp Hess, Yu Huang, Niklas Boers
2025	J	`jnl`	Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning. Nat. Mac. Intell. Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers
2025	J	`jnl`	Generating time-consistent dynamics with discriminator-guided image diffusion models. CoRR Philipp Hess, Maximilian Gelbrecht, Christof Schötz, Michael Aich, Yu Huang, Shangshang Yang, Niklas Boers
2025	J	`jnl`	Generative assimilation and prediction for weather and climate. CoRR Shangshang Yang, Congyi Nai, Xinyan Liu, Weidong Li, Jie Chao, Jingnan Wang, Leyi Wang, Xichen Li, Xi Chen, Bo Lu, Ziniu Xiao, Niklas Boers, Huiling Yuan, Baoxiang Pan
2025	J	`jnl`	Machine-Precision Prediction of Low-Dimensional Chaotic Systems. CoRR Christof Schötz, Niklas Boers
2025	J	`jnl`	NeuralCrop: Combining physics and machine learning for improved crop yield predictions. CoRR Yunan Lin, Sebastian Bathiany, Maha Badri, Maximilian Gelbrecht, Philipp Hess, Brian Groenke, Jens Heinke, Christoph Müller, Niklas Boers
2025	J	`jnl`	Physically consistent and uncertainty-aware learning of spatiotemporal dynamics. CoRR Qingsong Xu, Jonathan L. Bamber, Nils Thuerey, Niklas Boers, Paul Bates, Gustau Camps-Valls, Yilei Shi, Xiao Xiang Zhu
2024	J	`jnl`	Conditional diffusion models for downscaling & bias correction of Earth system model precipitation. CoRR Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers
2024	J	`jnl`	Deep Learning for predicting rate-induced tipping. CoRR Yu Huang, Sebastian Bathiany, Peter Ashwin, Niklas Boers
2024	J	`jnl`	Deep learning for predicting rate-induced tipping. Nat. Mac. Intell. Yu Huang, Sebastian Bathiany, Peter Ashwin, Niklas Boers
2024	J	`jnl`	Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models. CoRR Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers
2024	J	`jnl`	Improving the Noise Estimation of Latent Neural Stochastic Differential Equations. CoRR Linus Heck, Maximilian Gelbrecht, Michael T. Schaub, Niklas Boers
2024	J	`jnl`	Internal Noise Interference to Warnings of Tipping Points in Generic Multidimensional Dynamical Systems. SIAM J. Appl. Dyn. Syst. Andreas Morr, Niklas Boers, Peter Ashwin
2024	J	`jnl`	Machine Learning for predicting chaotic systems. CoRR Christof Schötz, Alistair White, Maximilian Gelbrecht, Niklas Boers
2024	J	`jnl`	ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions. CoRR Zijie Guo, Pumeng Lyu, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai
2024	J	`jnl`	Projected Neural Differential Equations for Learning Constrained Dynamics. CoRR Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, Niklas Boers
2023	J	`jnl`	Deep Learning for bias-correcting comprehensive high-resolution Earth system models. CoRR Philipp Hess, Stefan Lange, Niklas Boers
2023	J	`jnl`	Exploring Geometric Deep Learning For Precipitation Nowcasting. CoRR Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu
2023	C	`conf`	Exploring Geometric Deep Learning for Precipitation Nowcasting. IGARSS Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu
2023	J	`jnl`	Reconstructing Historical Climate Fields With Deep Learning. CoRR Nils Bochow, Anna Poltronieri, Martin Rypdal, Niklas Boers
2023	J	`jnl`	ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks. CoRR Pumeng Lyu, Tao Tang, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai
2023	J	`jnl`	Stabilized Neural Differential Equations for Learning Constrained Dynamics. CoRR Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers
2023	A*	`conf`	Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints. NeurIPS Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers
2022	J	`jnl`	Differentiable Programming for Earth System Modeling. CoRR Maximilian Gelbrecht, Alistair White, Sebastian Bathiany, Niklas Boers
2022	J	`jnl`	Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models. CoRR Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers
2022	J	`jnl`	Physically constrained generative adversarial networks for improving precipitation fields from Earth system models. Nat. Mac. Intell. Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers
2021	J	`jnl`	Towards neural Earth system modelling by integrating artificial intelligence in Earth system science. Nat. Mach. Intell. Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner
2021	J	`jnl`	Will Artificial Intelligence supersede Earth System and Climate Models? CoRR Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner
2016	J	`jnl`	Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales. CoRR Dominik Traxl, Niklas Boers, Jürgen Kurths