Quentin Renau

According to our database, Quentin Renau authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.

Quentin Renau, Emma Hart

CoRR, 2024

Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection.

Quentin Renau, Emma Hart

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances.

Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples.

Quentin Renau, Emma Hart

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem.

Quentin Renau, Johann Dréo, Emma Hart

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

On the Utility of Probing Trajectories for Algorithm-Selection.

Quentin Renau, Emma Hart

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Towards optimisers that 'Keep Learning'.

Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau

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).

Quentin Renau

PhD thesis, 2022

Automated algorithm selection for radar network configuration.

Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions.

Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr

Dataset, January, 2021

Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.

Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr

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".

Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr

Dataset, June, 2020

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes.

Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy.

Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Expressiveness and robustness of landscape features.

Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019