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20142026
most citedA Greedy Search Tree Heuristic for Symbolic Regression

58 citations · 112 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.PL2024

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…

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.NE2024★ 8 cited

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…

cs.NE2024★ 1 cited

Origami: (un)folding the abstraction of recursion schemes for program synthesis

Matheus Campos Fernandes, Fabricio Olivetti de Franca, Emilio Francesquini

Program synthesis with Genetic Programming searches for a correct program that satisfies the input specification, which is usually provided as input-output examples. One particular…

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…