Information theory for data-driven model reduction in physics and biology
Matthew S. Schmitt, Maciej Koch-Janusz, Michel Fruchart, Daniel S. Seara, Michael Rust, Vincenzo Vitelli
This paper develops an information-theoretic framework for model reduction in physics and biology, identifying relevant variables that predict future dynamics and demonstrating its application to atmospheric flows and cyanobacteria colonies.
bioRxiv · Apr 19, 2024 · PreprintBiophysics