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20082026
most citedA mathematical framework for critical transitions: bifurcations, fast-slow systems and stochastic dynamics

422 citations · 2.4k across the 156 of their papers we have counts for

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math.DS2026

The Role of Bifurcations in Parameter Estimation: A UQ Analysis of the Non-spatial Klausmeier Model

Lisa Beer, Christian Kuehn, Chiara Piazzola

We employ uncertainty quantification methods to investigate how parameter identifiability changes in the vicinity of a bifurcation point. We perform numerical experiments on the no…

math.DS2026

Unstable Manifolds for the Kuramoto Model: Convergence to the Ott-Antonsen Manifold

Christian Kuehn, Giacomo Landi

In this paper, we study the finite-dimensional, homogeneous, all-to-all coupled Kuramoto model. We begin by performing a complete spectral analysis of all equilibria of the system.…

math.DS2026

Normal Forms for Rough Differential Equations

Gideon Chiusole, Christian Kuehn, Maximilian Semenowicz

We address the existence of normal forms for rough ordinary differential equations. We assume suitable smoothness and the hyperbolicity of an equilibrium point. In this context, we…

math.DS2026

Fréchet Means of Periodic Orbits in Dynamical Systems: Geometry, Dynamics, and Diagnostics

Paulina Hering, Christian Kuehn

In many dynamical systems applications, one seeks representative trajectories summarizing families of periodic orbits arising from parameter variation or uncertainty. While the Fré…

math.DS2026

Synchronization for the Rough Kuramoto Model

Alexandra Blessing Neamtu, Christian Kuehn, Giacomo Landi +1

We study the local synchronization of phases and frequencies for the Kuramoto model driven by rough noise. In particular, we prove exponential convergence towards synchronization a…

math.DS2025

A Dynamical Systems Perspective on the Analysis of Neural Networks

Dennis Chemnitz, Maximilian Engel, Christian Kuehn +1

In this chapter, we utilize dynamical systems to analyze several aspects of machine learning algorithms. As an expository contribution we demonstrate how to re-formulate a wide var…