58 citations · 112 across the 17 of their papers we have counts for
Showing 2024 · cs.LGShow all
2 papers · 2 filters
cs.LG2024★ 22 cited
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…
cs.LG2024★ 1 cited
Multi-View Symbolic Regression
Etienne Russeil, Fabrício Olivetti de França, Konstantin Malanchev +6
Symbolic regression (SR) searches for analytical expressions representing the relationship between a set of explanatory and response variables. Current SR methods assume a single d…