Publications

Complex Networks, Machine Learning & Decision Theory
Dima, Simon, Fischer, Simon, Heitzig, Jobst, Oliver, Joss: Non-maximizing policies that fulfill multi-criterion aspirations in expectation - Algorithmic Decision Theory: 8th International Conference, ADT 2024, New Brunswick, NJ, USA, October 14–16, 2024, Proceedings, Lecture Notes in Computer Science
Cai, Fenying, Liu, Caihong, Gerten, Dieter, Yang, Song, Zhang, Tuantuan, Li, Kaiwen, Kurths, Jürgen (2024): Sketching the spatial disparities in heatwave trends by changing atmospheric teleconnections in the Northern Hemisphere - Nature Communications
Li, Yunfei, Ural, Deniz, Kantelhardt, Jan W., Rybski, Diego (2024): Indication of long-range correlations governing city size - PNAS Nexus
Cai, Fenying, Liu, Cai-hong, Yang, Song, Deng, Kai-qiang, Kurths, Jürgen (2024): Linkage Between European and East Asian Heatwaves on Synoptic Scales - Journal of Tropical Meteorology
Su, Zhen, Liu, Yang, Kurths, Jürgen, Meyerhenke, Henning (2024): Generic network sparsification via degree- and subgraph-based edge sampling - Information Sciences
Stechemesser, Annika, Koch, Nicolas, Mark, Ebba, Dilger, Elina, Klösel, Patrick, Menicacci, Laura, Nachtigall, Daniel, Pretis, Felix, Ritter, Nolan, Schwarz, Moritz, Vossen, Helena, Wenzel, Anna (2024): Climate policies that achieved major emission reductions: Global evidence from two decades - Science
White, Alistair, Kilbertus, Niki, Gelbrecht, Maximilian, Boers, Niklas (2024): Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints - Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Chen, Shuting, Wan, Ying, Cao, Jinde, Kurths, Jürgen (2024): Predefined-time synchronization for competitive neural networks with different time scales and external disturbances - Mathematics and Computers in Simulation
Möller, Tessa, Högner, Annika Ernest, Schleussner, Carl-Friedrich, Bien, Samuel, Kitzmann, Niklas, Lamboll, Robin D. , Rogelj, Joeri, Donges, Jonathan Friedemann, Rockström, Johan, Wunderling, Nico (2024): Achieving net zero greenhouse gas emissions critical to limit climate tipping risks - Nature Communications
Feng, Minyu, Zeng, Ziyan, Li, Qin, Perc, Matjaž, Kurths, Jürgen (2024): Information Dynamics in Evolving Networks Based on the Birth-Death Process: Random Drift and Natural Selection Perspective - IEEE Transactions on Systems, Man, and Cybernetics: Systems
Li, Kaiwen, Huang, Yu, Liu, Kai, Wang, Ming, Cai, Fenying, Zhang, Jianxin, Boers, Niklas (2024): Key propagation pathways of extreme precipitation events revealed by climate networks - npj Climate and Atmospheric Science
Dhadphale, Jayesh M., Krämer, Kai-Hauke, Gelbrecht, Maximilian, Kurths, Jürgen, Marwan, Norbert, Sujith, R. I. (2024): Model adaptive phase space reconstruction - Chaos
Bunde, Armin, Ludescher, Josef, Schellnhuber, Hans Joachim (2024): Evaluation of the real-time El Niño forecasts by the climate network approach between 2011 and present - Theoretical and Applied Climatology
Wang, Ya, Huang, Gang, Pan, Baoxiang, Lin, Pengfei, Boers, Niklas, Tao, Weichen, Chen, Yutong, Liu, Bo, Li, Haijie (2024): Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes - Advances in Atmospheric Sciences
Lyu, Pumeng, Tang, Tao, Ling, Fenghua, Luo, Jing-Jia, Boers, Niklas, Ouyang, Wanli, Bai, Lei (2024): ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks - Advances in Atmospheric Sciences
Mannone, Maria, Fazio, Peppino, Marwan, Norbert, Giacometti, Achille (2024): Multi-Layer Networks and Routing Protocols for Aquatic Robotic Swarm Management - Advances in Electrical and Electronic Engineering
Quante, Lennart, Stechemesser, Annika, Hödtke, Damian, Levermann, Anders (2024): Convolution of individual and group identity: self-reliance increases polarisation in basic opinion model - Humanities and Social Sciences Communications
Rolim Sales, Matheus, Yanchuk, Serhiy, Kurths, Jürgen (2024): Recurrent chaotic clustering and slow chaos in adaptive networks - Chaos
da Silva, Sidney T., Gabrick, Enrique C., Protachevicz, Paulo R., Iarosz, Kelly C., Caldas, Iberê L., Batista, Antonio M., Kurths, Jürgen: When climate variables improve the dengue forecasting: a machine learning approach - European Physical Journal - Special Topics
Wang, Xin , Xu, Rui , Huang, Tingwen , Kurths, Jürgen (2024): Event-Triggered Adaptive Containment Control for Heterogeneous Stochastic Nonlinear Multiagent Systems - IEEE Transactions on Neural Networks and Learning Systems
Köster, Felix, Yanchuk, Serhiy, Lüdge, Kathy (2024): Master Memory Function for Delay-Based Reservoir Computers With Single-Variable Dynamics - IEEE Transactions on Neural Networks and Learning Systems
Li, Quin, Pi, Bin, Feng, Minyu, Kurths, Jürgen (2024): Open Data in the Digital Economy: An Evolutionary Game Theory Perspective - IEEE Transactions on Computational Social Systems
Lochner, Jakob, Stechemesser, Annika, Wenz, Leonie (2024): Climate summits and protests have a strong impact on climate change media coverage in Germany - Communications Earth and Environment
Heitzig, Jobst, Simmons, Forest W., Constantino, Sara M.: Fair group decisions via non-deterministic proportional consensus - Social Choice and Welfare
Tang, Yang, Beerel, Peter A., Kurths, Jürgen, Chen, Guanrong (2024): Guest Editorial: Special Issue on Learning, Optimization, and Implementation for Circuits and Systems Driven by Artificial Intelligence - IEEE Transactions on Circuits and Systems I: Regular Papers
Stürmer, Julian, Plietzsch, Anton, Vogt, Thomas, Hellmann, Frank, Kurths, Jürgen, Otto, Christian, Frieler, Katja, Anvari, Mehrnaz (2024): Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines - Nature Energy
Wang, Zhigang, Su, Zhen, Deng, Ye, Kurths, Jürgen, Wu, Jun (2024): Spatial network disintegration based on kernel density estimation - Reliability Engineering & System Safety
Dong, Denghao, Feng, Minyu, Kurths, Jürgen, Zhang, Libo (2024): Fuzzy large margin distribution machine for classification - International Journal of Machine Learning and Cybernetics