| 2026 | GECCO | A Comparative Study of Model Selection Criteria for Symbolic Regression. | Ali Soltani, Gabriel Kronberger, Fabrcio Olivetti de Frana, Mattia Billa, Alessandro Lucantonio |
| 2025 | GECCO | rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2025 | GECCO | Improving Genetic Programming for Symbolic Regression with Equality Graphs. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2025 | GECCO | Can Synthetic Data Improve Symbolic Regression Extrapolation Performance? | Fitria Wulandari Ramlan, Colm O'Riordan, Gabriel Kronberger, James McDermott |
| 2025 | IJCCI | Comparative Analysis of Model Selection Criteria for Symbolic Regression Using Genetic Programming. | Fitria Wulandari Ramlan, Gabriel Kronberger, Colm O'Riordan, James McDermott |
| 2024 | GECCO | Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression. | Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrcio Olivetti de Frana |
| 2024 | PPSN | The Inefficiency of Genetic Programming for Symbolic Regression. | Gabriel Kronberger, Fabrcio Olivetti de Frana, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer |
| 2023 | GECCO | Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2022 | GECCO | Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression. | Christian Haider, Fabrcio Olivetti de Frana, Gabriel Kronberger, Bogdan Burlacu |
| 2022 | SYNASC | Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression. | Gabriel Kronberger |
| 2022 | SYNASC | Steel Phase Kinetics Modeling using Symbolic Regression. | David Piringer, Bernhard Bloder, Gabriel Kronberger |
| 2022 | SYNASC | Identification of Discrete Non-Linear Dynamics of a Radio-Frequency Power Amplifier Circuit using Symbolic Regression. | Martin Steiger, Hans Georg Brachtendorf, Gabriel Kronberger |
| 2021 | GECCO | Empirical analysis of variance for genetic programming based symbolic regression. | Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler |
| 2020 | ECAI | Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. | David Joedicke, Gabriel Kronberger, Jos Manuel Colmenar, Stephan M. Winkler, Jos Manuel Velasco, Sergio Contador, Jos Ignacio Hidalgo |
| 2020 | GECCO | Operon C++: an efficient genetic programming framework for symbolic regression. | Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda |
| 2019 | CEC | Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. | Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda |
| 2019 | GECCO | Parsimony measures in multi-objective genetic programming for symbolic regression. | Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller |
| 2018 | GECCO | Predicting friction system performance with symbolic regression and genetic programming with factor variables. | Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel |
| 2017 | GECCO | Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. | Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner |
| 2016 | GECCO | Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. | J. Manuel Colmenar, Stephan M. Winkler, Gabriel Kronberger, Esther Maqueda, Marta Botella, Jos Ignacio Hidalgo |
| 2016 | IJCCI | Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. | Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller |
| 2014 | GECCO | Scripting and framework integration in heuristic optimization environments. | Andreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Scheibenpflug |
| 2014 | GECCO | Genetic programming with data migration for symbolic regression. | Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler |
| 2013 | GECCO | Visualization of genetic lineages and inheritance information in genetic programming. | Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger |
| 2013 | GECCO | Effects of constant optimization by nonlinear least squares minimization in symbolic regression. | Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |
| 2013 | GECCO | GPDL: a framework-independent problem definition language for grammar-guided genetic programming. | Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Heinz Dobler |
| 2012 | GECCO | On the architecture and implementation of tree-based genetic programming in HeuristicLab. | Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller |
| 2012 | GECCO | Algorithm and experiment design with heuristic lab: an open source optimization environment for research and education. | Stefan Wagner, Gabriel Kronberger |
| 2011 | GECCO | Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. | Gabriel Kronberger, Michael Kommenda, Michael Affenzeller |
| 2011 | GECCO | Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education. | Stefan Wagner, Gabriel Kronberger |
| 2009 | EUROGP | On Crossover Success Rate in Genetic Programming with Offspring Selection. | Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner |