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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.LG2024
Machine Learning Based Optimal Design of Fibrillar Adhesives
Mohammad Shojaeifard, Matteo Ferraresso, Alessandro Lucantonio +1
Fibrillar adhesion, observed in animals like beetles, spiders, and geckos, relies on nanoscopic or microscopic fibrils to enhance surface adhesion via 'contact splitting.' This con…
cs.LG2023
Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus
Simone Manti, Alessandro Lucantonio
Computational modeling is a key resource to gather insight into physical systems in modern scientific research and engineering. While access to large amount of data has fueled the…