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ORCIDOlivier Goudet
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2020 – today
- 2025
[i8]Mohamed Salim Amri Sakhri, Adrien Goëffon, Olivier Goudet, Frédéric Saubion, Chaïmaâ Touhami:
Discovering new robust local search algorithms with neuro-evolution. CoRR abs/2501.04747 (2025)- 2024
- [j8]Olivier Goudet
, Adrien Goëffon, Jin-Kao Hao:
A large population island framework for the unconstrained binary quadratic problem. Comput. Oper. Res. 168: 106684 (2024) - [j7]Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Sylvain Lamprier, Jin-Kao Hao:
Deinterleaving of Discrete Renewal Process Mixtures With Application to Electronic Support Measures. IEEE Trans. Signal Process. 72: 4983-4991 (2024) - [c7]Olivier Goudet, Mohamed Salim Amri Sakhri, Adrien Goëffon, Frédéric Saubion:
Emergence of New Local Search Algorithms with Neuro-Evolution. EvoStar 2024: 33-48 - [c6]Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring. EvoStar 2024: 65-80 - [c5]Olivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Vérel:
Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. GECCO Companion 2024: 195-198 - [i7]Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Sylvain Lamprier, Jin-Kao Hao:
Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures. CoRR abs/2402.09166 (2024) - 2023
- [j6]Olivier Goudet, Jin-Kao Hao:
A massively parallel evolutionary algorithm for the partial Latin square extension problem. Comput. Oper. Res. 158: 106284 (2023) - [c4]Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Jin-Kao Hao:
A Memetic Algorithm for Deinterleaving Pulse Trains. EvoCOP 2023: 66-81 - [c3]Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring. EvoCOP 2023: 98-113 - [c2]Olivier Goudet, Cyril Grelier, David Lesaint:
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem. IJCAI 2023: 1927-1934 - [i6]Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring. CoRR abs/2304.12146 (2023) - 2022
- [j5]Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag:
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. J. Mach. Learn. Res. 23: 219:1-219:62 (2022) - [j4]Olivier Goudet, Cyril Grelier, Jin-Kao Hao:
A deep learning guided memetic framework for graph coloring problems. Knowl. Based Syst. 258: 109986 (2022) - [c1]Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
On Monte Carlo Tree Search for Weighted Vertex Coloring. EvoCOP 2022: 1-16 - [i5]Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
On Monte Carlo Tree Search for Weighted Vertex Coloring. CoRR abs/2202.01665 (2022) - 2021
- [j3]Olivier Goudet, Béatrice Duval, Jin-Kao Hao:
Population-based gradient descent weight learning for graph coloring problems. Knowl. Based Syst. 212: 106581 (2021) - [i4]Olivier Goudet, Jin-Kao Hao:
Massively parallel hybrid search for the partial Latin square extension problem. CoRR abs/2103.10453 (2021) - [i3]Olivier Goudet, Cyril Grelier, Jin-Kao Hao:
A deep learning guided memetic framework for graph coloring problems. CoRR abs/2109.05948 (2021) - 2020
- [j2]Jean-Daniel Kant, Gérard Ballot, Olivier Goudet:
WorkSim: An Agent-Based Model of Labor Markets. J. Artif. Soc. Soc. Simul. 23(4) (2020) - [j1]Diviyan Kalainathan, Olivier Goudet, Ritik Dutta:
Causal Discovery Toolbox: Uncovering causal relationships in Python. J. Mach. Learn. Res. 21: 37:1-37:5 (2020) - [i2]Mikael Escobar-Bach, Olivier Goudet:
On the study of the Beran estimator for generalized censoring indicators. CoRR abs/2009.01726 (2020)
2010 – 2019
- 2019
- [p3]Isabelle Guyon, Olivier Goudet, Diviyan Kalainathan:
Evaluation Methods of Cause-Effect Pairs. Cause Effect Pairs in Machine Learning 2019: 27-99 - [p2]Olivier Goudet, Diviyan Kalainathan, Michèle Sebag, Isabelle Guyon:
Learning Bivariate Functional Causal Models. Cause Effect Pairs in Machine Learning 2019: 101-153 - [p1]Diviyan Kalainathan, Olivier Goudet, Michèle Sebag, Isabelle Guyon:
Discriminant Learning Machines. Cause Effect Pairs in Machine Learning 2019: 155-189 - [i1]Olivier Goudet, Béatrice Duval, Jin-Kao Hao:
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring. CoRR abs/1909.02261 (2019) - 2015
- [b1]Olivier Goudet:
La modélisation multi-agent du marché du travail français. (The multi-agent modelling of the french labor market). Pierre and Marie Curie University, Paris, France, 2015
Coauthor Index
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