2 papers
cs.LG2025
Scientific Machine Learning of Chaotic Systems Learns Reduced-Order Equations for Neural Populations
Anthony G. Chesebro, David Hofmann, Vaibhav Dixit +6
Extracting interpretable mathematical models from complex dynamical systems is difficult, especially for chaotic dynamics observed with noisy experimental data. We present PEM-UDE,…
cs.LG2023
Achieving Occam's Razor: Deep Learning for Optimal Model Reduction
Botond B Antal, Anthony G Chesebro, Helmut H Strey +2
All fields of science depend on mathematical models. Occam's razor refers to the principle that good models should exclude parameters beyond those minimally required to describe th…