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Research questionHow can symbolic regression recover stoichiometric dynamics from noisy data without violating physical laws?Noisy dynamical data can support equations that predict observations well while contradicting established physical laws. Jointly discovering fluxes in stoichiometric systems makes it necessary to preserve those structural constraints during equation discovery.
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Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph SearchThe source addresses flux-based stoichiometric ODE systems with known stoichiometry and noisy dynamical data, including physical and biological systems. Its evidence comes from evaluations on a range of such systems; the input does not specify noise levels, data-access conditions, or deployment settings.research paper · Sep 4, 2026
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