Skip to content

Author

Maximilian Topel

We have 2 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

Phase spaces of phase spaces: A method of constructing generalizable and topologically informed bases from time series demonstrated by reconstruction of the geometry of the macroeconomy

Laws from physics to social science rest on a small, enumerable number of factors explaining variation in the systems they describe. While the orthodoxy of economics, physics and chemistry relies on a small number of analytically interpretable laws, large data models pursuing universality throw in all available data. B...

Maximilian Topel · 0 citations
Preprint Aug 2026

Data-driven reconstruction of dynamical systems using Takens'Theorem, manifold learning, and universal function approximators

An algorithmic framework, TAkens Reconstruction (TAR), to analyze and reconstruct arbitrary dynamical systems from low-dimensional time series using an integration of Takens'Delay Embedding Theorem, manifold learning techniques, and universal function approximators is developed.

Maximilian Topel, Andrew L. Ferguson · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.