Publications

2026

1. Phase transitions reveal hierarchical structure in deep neural networks Ibrahim Talha Ersoy, Andrés Fernando Cardozo Licha, Karoline Wiesner Communications AI & Computing
2. A generalized Gompertz law for the rise and fall of empires Sabin Roman, Vaishnavi Jayakumar, Karoline Wiesner Journal of Physics Complexity
3. Cascading through the hierarchy: regularizer-induced feature detection as phase transitions in deep linear neural networks Björn Ladewig, Ibrahim Talha Ersoy, Karoline Wiesner arXiv preprint
4. Noise-driven escape from metastable phases explains grokking in deep neural networks Ibrahim Talha Ersoy, Karoline Wiesner ICML Workshop on High-dimensional Learning Dynamics
5. Causal analysis of streamflow, evapotranspiration and snow dynamics in large sample hydrology David Strahl, Urmi Ninad, Sebastian J. Gnann, Karoline Wiesner, Thorsten Wagener Research Square preprint
6. Critical dynamics govern the evolution of political regimes Joshua Uhlig, Paula Pirker-Díaz, Matthew W. Wilson, Ralf Metzler, Karoline Wiesner Communications Physics
7. Nonlinear dimensionality reduction with diffusion maps: guidance for practical applications and interpretation Sönke Beier, Paula Pirker-Díaz, Friedrich Pagenkopf, Ibrahim Talha Ersoy, Karoline Wiesner IEEE Access

2025

1. Scaling laws of political regime dynamics: stability of democracies and autocracies in the twentieth century Paula Pirker-Díaz, Matthew Charles Wilson, Sönke Beier, Karoline Wiesner Royal Society Open Science

2024

1. Political systems as complex, statistical systems – unravelling the role of diversity and feedback for stability Karoline Wiesner Book chapter, World Scientific
2. The principal components of electoral regimes: separating autocracies from pseudo-democracies Karoline Wiesner, Samuel Bien, Matthew Charles Wilson Royal Society Open Science
3. The role of unpredictability in the formation and maintenance of complex systems Karoline Wiesner Journal of Physics Conference Series
4. 'Complexity-aware' monitoring and evaluation of development programs: anchoring them in complexity science Karoline Wiesner, Jyotsna Puri, Andreas Reumann Advances in Complex Systems
5. Novel analytic methods for predicting extinctions in ecological networks Chris Jones, Damaris Zurell, Karoline Wiesner Ecological Monographs

2023

1. Learning from small urban nations: the importance of randomness and feedback for democratic stability Karoline Wiesner Book chapter, Edward Elgar Publishing
2. Improving mean-field network percolation models with neighbourhood information Chris Jones, Karoline Wiesner Journal of Complex Networks
3. The hidden dimension in democracy Matthew Charles Wilson, Karoline Wiesner, Samuel Bien V-Dem working paper / SSRN

2022

1. Clarifying how degree entropies and degree-degree correlations relate to network robustness Chris Jones, Karoline Wiesner Entropy

2021

1. Complex systems are always correlated but rarely information processing Karoline Wiesner, James Ladyman Journal of Physics Complexity

Book

James Ladyman and Karoline Wiesner, What is a complex system?, Yale University Press, 2020.