22 citations · 47 across the 11 of their papers we have counts for
11 papers
Call for Action: towards the next generation of symbolic regression benchmark
Guilherme S. Imai Aldeia, Hengzhe Zhang, Geoffrey Bomarito +5
Symbolic Regression (SR) is a powerful technique for discovering interpretable mathematical expressions. However, benchmarking SR methods remains challenging due to the diversity o…
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
Roman Kalkreuth, Fabricio Olivetti de França, Julian Dierkes +4
Over the years, genetic programming (GP) has evolved, with many proposed variations, especially in how they represent a solution. Being essentially a program synthesis algorithm, i…
Going Bananas! - Unfolding Program Synthesis with Origami
Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini
Automatically creating a computer program using input-output examples can be a challenging task, especially when trying to synthesize computer programs that require loops or recurs…
Minimum variance threshold for epsilon-lexicase selection
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation. Methods often rely on…
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca
In some situations, the interpretability of the machine learning models plays a role as important as the model accuracy. Interpretability comes from the need to trust the predictio…
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability. Despite this secondary objective, studies point…