Olivier Goudet

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Cyril Grelier, Olivier Goudet, Jin-Kao Hao
A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring. EvoStar (2024)
Olivier Goudet, Mohamed Salim Amri Sakhri, Adrien Goëffon, Frédéric Saubion
Emergence of New Local Search Algorithms with Neuro-Evolution. EvoStar (2024)
Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Sylvain Lamprier, Jin-Kao Hao
Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures. CoRR (2024)
Olivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Vérel
Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. GECCO Companion (2024)
Olivier Goudet, Adrien Goëffon, Jin-Kao Hao
A large population island framework for the unconstrained binary quadratic problem. Comput. Oper. Res. 168 (2024)
Olivier Goudet, Cyril Grelier, David Lesaint
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem. IJCAI (2023)
Olivier Goudet, Jin-Kao Hao
A massively parallel evolutionary algorithm for the partial Latin square extension problem. Comput. Oper. Res. 158 (2023)
Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Jin-Kao Hao
A Memetic Algorithm for Deinterleaving Pulse Trains. EvoCOP (2023)
Cyril Grelier, Olivier Goudet, Jin-Kao Hao
Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring. EvoCOP (2023)
Cyril Grelier, Olivier Goudet, Jin-Kao Hao
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring. CoRR (2023)
Cyril Grelier, Olivier Goudet, Jin-Kao Hao
On Monte Carlo Tree Search for Weighted Vertex Coloring. EvoCOP (2022)
Olivier Goudet, Cyril Grelier, Jin-Kao Hao
A deep learning guided memetic framework for graph coloring problems. Knowl. Based Syst. 258 (2022)
Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. J. Mach. Learn. Res. 23 (2022)
Cyril Grelier, Olivier Goudet, Jin-Kao Hao
On Monte Carlo Tree Search for Weighted Vertex Coloring. CoRR (2022)
Olivier Goudet, Jin-Kao Hao
Massively parallel hybrid search for the partial Latin square extension problem. CoRR (2021)
Olivier Goudet, Cyril Grelier, Jin-Kao Hao
A deep learning guided memetic framework for graph coloring problems. CoRR (2021)
Olivier Goudet, Béatrice Duval, Jin-Kao Hao
Population-based gradient descent weight learning for graph coloring problems. Knowl. Based Syst. 212 (2021)
Mikael Escobar-Bach, Olivier Goudet
On the study of the Beran estimator for generalized censoring indicators. CoRR (2020)
Diviyan Kalainathan, Olivier Goudet, Ritik Dutta
Causal Discovery Toolbox: Uncovering causal relationships in Python. J. Mach. Learn. Res. 21 (2020)
Jean-Daniel Kant, Gérard Ballot, Olivier Goudet
WorkSim: An Agent-Based Model of Labor Markets. J. Artif. Soc. Soc. Simul. 23 (4) (2020)
Olivier Goudet, Béatrice Duval, Jin-Kao Hao
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

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Olivier Goudet