29 citations · 34 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier +1
Symbolic regression (SR) is the problem of learning a symbolic expression from numerical data. Recently, deep neural models trained on procedurally-generated synthetic datasets sho…
cs.NE2022★ 29 cited
Symbolic Regression is NP-hard
Marco Virgolin, Solon P. Pissis
Symbolic regression (SR) is the task of learning a model of data in the form of a mathematical expression. By their nature, SR models have the potential to be accurate and human-in…