3 papers
cs.AI2026
LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study
Jorge López-Varela, J. Ignacio Hidalgo, José-Manuel Muñoz +6
Genetic Programming and its variants, such as grammatical evolution, are widely used in Symbolic Regression to derive mathematical expressions from multivariate data. In addition t…
cs.NE2025
Estimation of total body fat using symbolic regression and evolutionary algorithms
Jose-Manuel Muñoz, Odin Morón-García, J. Ignacio Hidalgo +1
Body fat percentage is an increasingly popular alternative to Body Mass Index to measure overweight and obesity, offering a more accurate representation of body composition. In thi…
cs.LG2024
Symbolic Regression with a Learned Concept Library
Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes +2
We present a novel method for symbolic regression (SR), the task of searching for compact programmatic hypotheses that best explain a dataset. The problem is commonly solved using…