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Marco Virgolin

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Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search

Feb 22, 2023
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin

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Symbolic Regression is NP-hard

Jul 11, 2022
Marco Virgolin, Solon P. Pissis

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Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression

Apr 26, 2022
Marco Virgolin, Peter A. N. Bosman

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Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning

Apr 05, 2022
Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman

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On genetic programming representations and fitness functions for interpretable dimensionality reduction

Mar 14, 2022
Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter Bosman

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Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression

Feb 16, 2022
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman

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Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning

Feb 10, 2022
Marco Virgolin, Andrea De Lorenzo, Tanja Alderliesten, Peter A. N. Bosman

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Conversational Agents: Theory and Applications

Feb 07, 2022
Mattias Wahde, Marco Virgolin

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