| 2025 | GECCO | Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression. | Luigi Rovito, Marco Virgolin |
| 2023 | GECCO | Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? | Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | ICML | Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. | Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin |
| 2022 | GECCO | Evolvability degeneration in multi-objective genetic programming for symbolic regression. | Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | GECCO | On genetic programming representations and fitness functions for interpretable dimensionality reduction. | Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | GECCO | Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression. | Marco Virgolin, Peter A. N. Bosman |
| 2021 | EMO | Local Search is a Remarkably Strong Baseline for Neural Architecture Search. | Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman |
| 2021 | GECCO | Genetic programming is naturally suited to evolve bagging ensembles. | Marco Virgolin |
| 2021 | GECCO | Model learning with personalized interpretability estimation (ML-PIE). | Marco Virgolin, Andrea De Lorenzo, Francesca Randone, Eric Medvet, Mattias Wahde |
| 2020 | PPSN | Learning a Formula of Interpretability to Learn Interpretable Formulas. | Marco Virgolin, Andrea De Lorenzo, Eric Medvet, Francesca Randone |
| 2019 | GECCO | Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression. | Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2018 | GECCO | Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. | Marco Virgolin, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman |
| 2017 | GECCO | Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning. | Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman |
| 2015 | GECCO | Evolutionary Learning of Syntax Patterns for Genic Interaction Extraction. | Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao, Marco Virgolin |