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2020 – today
- 2024
[c12]Quentin Renau
, Emma Hart:
On the Utility of Probing Trajectories for Algorithm-Selection. EvoApplications@EvoStar 2024: 98-114- [c11]Quentin Renau, Johann Dréo, Emma Hart:
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. GECCO Companion 2024: 151-154 - [c10]Quentin Renau, Emma Hart:
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples. GECCO 2024 - [c9]Christopher Stone, Quentin Renau, Ian Miguel, Emma Hart:
An Evaluation of Domain-Agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. LION 2024: 399-414 - [c8]Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. PPSN (2) 2024: 70-86 - [c7]Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. PPSN (2) 2024: 121-136 - [d6]Quentin Renau, Johann Dréo, Emma Hart:
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. Zenodo, 2024
- [d5]Quentin Renau, Emma Hart:
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples - Code and Data. Zenodo, 2024 - [d4]Quentin Renau, Emma Hart:
Evaluating the Robustness of Deep-learning Algorithm-selection Models by Evolving Adversarial Instances - Code and Data. Zenodo, 2024 - [d3]Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection - Code and Data. Zenodo, 2024 - [i9]Quentin Renau, Emma Hart:
On the Utility of Probing Trajectories for Algorithm-Selection. CoRR abs/2401.12745 (2024) - [i8]Quentin Renau, Emma Hart:
Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. CoRR abs/2404.05359 (2024) - [i7]Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. CoRR abs/2406.16609 (2024) - [i6]Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. CoRR abs/2406.16999 (2024) - [i5]Sarah L. Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki van Stein, Anna V. Kononova:
Stalling in Space: Attractor Analysis for any Algorithm. CoRR abs/2412.15848 (2024) - 2023
- [c6]Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau:
Towards optimisers that 'Keep Learning'. GECCO Companion 2023: 1636-1638 - 2022
- [b1]Quentin Renau:
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). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [c5]Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr:
Automated algorithm selection for radar network configuration. GECCO 2022: 1263-1271 - [i4]Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr:
Automated Algorithm Selection for Radar Network Configuration. CoRR abs/2205.03670 (2022) - 2021
- [c4]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. EvoApplications 2021: 17-33 - [d2]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions. Zenodo, 2021 - [i3]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. CoRR abs/2102.00736 (2021) - 2020
- [c3]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. PPSN (2) 2020: 139-153 - [c2]Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr:
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. SSCI 2020: 775-782 - [d1]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy". Zenodo, 2020 - [i2]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. CoRR abs/2006.11135 (2020) - [i1]Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr:
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. CoRR abs/2009.14506 (2020)
2010 – 2019
- 2019
- [c1]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Expressiveness and robustness of landscape features. GECCO (Companion) 2019: 2048-2051
Coauthor Index
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