4 papers
Zobrist Hash-based Duplicate Detection in Symbolic Regression
Bogdan Burlacu
Symbolic regression encompasses a family of search algorithms that aim to discover the best fitting function for a set of data without requiring an a priori specification of the mo…
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…
Multi-View Symbolic Regression
Etienne Russeil, FabrÃcio 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…
A precise symbolic emulator of the linear matter power spectrum
Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger +6
Computing the matter power spectrum, , as a function of cosmological parameters can be prohibitively slow in cosmological analyses, hence emulating this calculation is desira…