arXiv Machine Learning June 5, 2026 By Federico J. Gonzalez

PyCC.id: A package for hypothesis-driven equation discovery with structural identifiability

Read the original on arXiv Machine Learning →

arXiv:2606. 05191v1 Announce Type: new Abstract: Data-driven equation discovery is fundamentally an inverse problem that seeks to infer the governing differential equations of a system directly from time-series measurements.

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