4 citations · 9 across the 4 of their papers we have counts for
4 papers
Data-driven discovery of dynamical models in biology
Bartosz Prokop, Lendert Gelens
Dynamical systems theory provides a mathematical framework for describing how interacting biological components evolve over time and space, from molecular oscillators to large-scal…
Machine learning identifies nullclines in oscillatory dynamical systems
Bartosz Prokop, Jimmy Billen, Nikita Frolov +1
We introduce CLINE (Computational Learning and Identification of Nullclines), a neural network-based method that uncovers the hidden structure of nullclines from oscillatory time s…
Enhancing model identification with SINDy via nullcline reconstruction
Bartosz Prokop, Nikita Frolov, Lendert Gelens
Many dynamical systems exhibit oscillatory behavior that can be modeled with differential equations. Recently, these equations have increasingly been derived through data-driven me…
Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data
Bartosz Prokop, Lendert Gelens, Peter F. Pelz +1
The rapid increase of population and settlement structures in the Global South during recent decades motivates the development of suitable models to describe their formation and ev…