10 citations · 17 across the 3 of their papers we have counts for
3 papers
physics.soc-ph2023★ 4 cited
Learning Interpretable Collective Variables for Spreading Processes on Networks
Marvin Lücke, Stefanie Winkelmann, Jobst Heitzig +2
Collective variables (CVs) are low-dimensional projections of high-dimensional system states. They are used to gain insights into complex emergent dynamical behaviors of processes…
math.PR2022★ 3 cited
Large population limits of Markov processes on random networks
Marvin Lücke, Jobst Heitzig, Péter Koltai +2
We consider time-continuous Markovian discrete-state dynamics on random networks of interacting agents and study the large population limit. The dynamics are projected onto low-dim…
math.DS2021★ 10 cited
tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format
Marvin Lücke, Feliks Nüske
Extracting information about dynamical systems from models learned off simulation data has become an increasingly important research topic in the natural and engineering sciences.…