Virgolin, Marco

1. Contemporary Symbolic Regression Methods and their Relative Performance
   2021/07/29 by William La Cava, La Cava, William, Patryk Orzechowski +13 · 48 citations
   Computer Science · #Evolutionary Algorithms and Applications #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications
2. Symbolic Regression is NP-hard
   2022/07/03 by Marco Virgolin, Solon P. Pissis, Virgolin, Marco +1 · 17 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
3. Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
   2023/02/22 by Pierre-Alexandre Kamienny, Guillaume Lample, Kamienny, Pierre-Alexandre +5 · 10 citations
   Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Reinforcement Learning in Robotics
4. Learning a Formula of Interpretability to Learn Interpretable Formulas
   2020/04/23 by Virgolin, Marco, De Lorenzo, Andrea, Medvet, Eric +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
   2021/09/11 by Arkadiy Dushatskiy, Marco Virgolin, Dushatskiy, Arkadiy +7 · 2 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
6. Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression
   2022/04/26 by Virgolin, Marco, Bosman, Peter A. N. · 1 citation
   #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
7. On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations
   2022/01/22 by Virgolin, Marco, Fracaros, Saverio · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression
   2022/02/14 by Dazhuang Liu, Liu, Dazhuang, Marco Virgolin +5 · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)