Quentin Renau
Orcid: 0000-0002-2487-981X
According to our database1,
Quentin Renau
authored at least 21 papers
between 2019 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem.
Dataset, February, 2024
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection - Code and Data.
Dataset, January, 2024
Evaluating the Robustness of Deep-learning Algorithm-selection Models by Evolving Adversarial Instances - Code and Data.
Dataset, January, 2024
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples - Code and Data.
Dataset, January, 2024
Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.
CoRR, 2024
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
An Evaluation of Domain-Agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation.
Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Landscape-Aware Selection of Metaheuristics for the Optimization of Radar Networks. (Sélection de Métaheuriques Guidée par le Paysage de Recherche pour l'Optimisation de Réseaux de Radars).
PhD thesis, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
2021
Dataset, January, 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.
Proceedings of the Applications of Evolutionary Computation, 2021
2020
Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy".
Dataset, June, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019