3 papers
cs.LG2026
A Comparative Study of Model Selection Criteria for Symbolic Regression
Ali Soltani, Gabriel Kronberger, Fabricio Olivetti de Franca +2
Effective model selection is critical in symbolic regression (SR) to identify mathematical expressions that balance accuracy and complexity, and have low expected error on unseen d…
cs.NE2026
The Inefficiency of Genetic Programming for Symbolic Regression
Gabriel Kronberger, Fabricio Olivetti de Franca, Harry Desmond +2
We analyse the search behaviour of genetic programming for symbolic regression in practically relevant but limited settings, allowing exhaustive enumeration of all solutions. This…
cond-mat.mtrl-sci2025
Identification of Empirical Constitutive Models for Age-Hardenable Aluminium Alloy and High-Chromium Martensitic Steel Using Symbolic Regression
Evgeniya Kabliman, Gabriel Kronberger
Process-structure-property relationships are fundamental in materials science and engineering and are key to the development of new and improved materials. Symbolic regression serv…