3 papers
cs.LG2026
Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing
Viktor Martinek, Roland Herzog
Symbolic regression aims to find symbolic expressions that describe datasets. Due to its inherent interpretability, symbolic regression (SR) is a powerful paradigm for scientific d…
cs.LG2024
Shape Constraints in Symbolic Regression using Penalized Least Squares
Viktor Martinek, Julia Reuter, Ophelia Frotscher +3
We study the addition of shape constraints (SC) and their consideration during the parameter identification step of symbolic regression (SR). SC serve as a means to introduce prior…
cs.LG2024
Unit-Aware Genetic Programming for the Development of Empirical Equations
Julia Reuter, Viktor Martinek, Roland Herzog +1
When developing empirical equations, domain experts require these to be accurate and adhere to physical laws. Often, constants with unknown units need to be discovered alongside th…