Shape-constrained Symbolic Regression -- Improving Extrapolation with
Prior Knowledge

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Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge

29 March 2021

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Papers citing "Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge"

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Title
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models Fabrício Olivetti de França G. Kronberger 137 1 0 29 Jan 2025
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization Fabricio Olivetti de Franca 137 3 0 03 Jan 2025
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 118 2 0 22 Oct 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França 89 10 0 08 Apr 2024
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 78 0 21 May 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression Jiří Kubalík Erik Derner Robert Babuška 69 12 0 01 Feb 2023
Comparing Shape-Constrained Regression Algorithms for Data Validation F. Bachinger G. Kronberger 23 2 0 20 Sep 2022
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles F. O. França G. Kronberger 132 1 0 14 Sep 2022
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge Liron Simon Keren A. Liberzon Teddy Lazebnik 112 83 0 13 Sep 2022