Olivier Goudet

Associate Professor
Computer Science
University of Angers (France)
Member of the LERIA laboratory

Olivier

Contact
email: olivier.goudet@univ-angers.fr
Postal mail: Olivier Goudet | UFR sciences | 2 bd Lavoisier | 49045 Angers cedex | France
Office H216
Phone: +33 02 41 73 52 20



Publications

See Google Scholar

Preprints

Journal papers

  1. Discovering New Robust Local Search Algorithms with Neuro-Evolution (M S Amri Sakhri, A Goëffon, O Goudet, F Saubion, C Touhami ). 2025. SN Computer Science, 6(3), 283. pdf.
  2. Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring (C Grelier, O Goudet, J-K Hao). 2025. SN Computer Science, 6(3), 283. pdf.
  3. Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures (J Pinsolle, O Goudet, C Enderli, S Lamprier, J-K Hao). 2024. IEEE Transactions on Signal Processing. pdf.
  4. A Large Population Island Framework for the Unconstrained Binary Quadratic Problem (O Goudet, A Goëffon, JK Hao). 2024. Computers and Operations Research. pdf. Source code .
  5. A massively parallel evolutionary algorithm for the partial Latin square extension problem. (O Goudet and JK Hao). 2023. Computers and Operations Research. pdf . Source code .
  6. A deep learning guided memetic framework for graph coloring problems. (O Goudet, C Grelier and JK Hao). 2022. Journal Knowledge-Based System. pdf. Source code .
  7. Structural Agnostic Modeling: Adversarial Learning of Causal Graphs (D Kalainathan, O Goudet, I Guyon, D Lopez-Paz, M Sebag). 2022. Journal of Machine Learning Research 23. 1-62. pdf. Source code.
  8. Population-based gradient descent weight learning for graph coloring problems (O Goudet, B Duval, JK Hao). 2021. Journal Knowledge-Based System. Volume 212. 106581. pdf . arxiv . Source code
  9. Causal Discovery Toolbox: Uncovering causal relationships in Python (D Kalainathan, O Goudet, R Dutta). Journal of Machine Learning Research. 21(37):1−5, 2020. pdf. Python library
  10. WorkSim, an agent-based model to study labor markets (JD Kant, G Ballot, O Goudet). 2020. Journal of Artificial Societies and Social Simulation (JASSS). vol. 23(4), pages 1-4. pdf.
  11. Worksim: A calibrated agent-based model of the labor market accounting for workers’ stocks and gross flows (O Goudet, JD Kant, G Ballot) 2017. Journal Computational Economics. Volume 50. Numéro 1. Pages 21-68. Editeur Srpinger US. pdf
  12. Un modèle multi-agents du marché du travail français, outil d’évaluation des politiques de l’emploi. L’exemple du contrat de génération. (G. Ballot, J.‑D. Kant, O. Goudet). 2016. Revue Economique, vol. 67 (4), pp. 831-869, (Presses de Sciences Po). pdf

Conference papers

  1. Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems (O Goudet, A Goëffon, F. Saubion, S Verel). 2025, April. In European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar) (pp. 84-100).
  2. Convolutional Neural Networks with Specific Kernels for Computer Chess (O Goudet, B Joshi, T Cazenave). 2024. In International Conference on Computers and Games (pp. 14-24). Cham: Springer Nature Switzerland.
  3. Experimental comparison of unsupervised methods for deinterleaving pulse trains (J Pinsolle, O Goudet, C Enderli, S Lamprier, J-K Hao). 2024. IEEE International RADAR Conference. Rennes
  4. Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks (O. Goudet, A. Goëffon, F. Saubion, S. Verel). 2024. GECCO '24 Companion: Genetic and Evolutionary Computation Conference. Melbourne, VIC, Australia. pdf.
  5. Emergence of new local search algorithms with neuro-evolution (O. Goudet, M. S. Amri Sakhri, A. Goëffon, F. Saubion). 2024. European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Aberystwyth, United Kingdom. pdf. Source code.
  6. A memetic algorithm with adaptive operator selection for graph coloring (C. Grelier, O. Goudet, J-K Hao). 2024. European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Aberystwyth, United Kingdom. pdf. Source code
  7. New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem (O. Goudet, C. Grelier, D. Lesaint). 2023. IJCAI. The 32nd International Joint Conference on Artificial Intelligence. pdf. Source code
  8. Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring (C. Grelier, O. Goudet, J-K Hao). 2023. European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Springer, Cham. Brno, Czech Republic. pdf. Source code
  9. A Memetic Algorithm for Deinterleaving Pulse Trains (J. Pinsolle, O. Goudet, C. Enderli, J-K Hao). 2023. European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Springer, Cham. Brno, Czech Republic. pdf.
  10. On Monte Carlo Tree Search for Weighted Vertex Coloring (C. Grelier, O. Goudet J-K Hao). 2022. European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Springer, Cham. pdf. Source code
  11. An ex ante evaluation of economic dismissals facilitation on the French labor market: an agent-based model (J-D Kant, O. Goudet, G. Ballot). 2016. 12th Artificial Economics Conference. Rome, Italy. pdf.
  12. WorkSim, an agent-based framework to study labor markets (J.‑D. Kant, G. Ballot, O. Goudet). International Conference on Agent Computing. , Fairfax, USA. pdf.
  13. Forbidding fixed duration contracts: Unfolding the opposing consequences with a multi-agent model of the french labor market O Goudet, J-D Kant, G Ballot). 2015. In Advances in artificial economics (pp. 151-167). Springer, Cham. pdf.
  14. Modeling both sides of the French labor market with adaptive agents under bounded rationality (G Ballot, J-D Kant, O Goudet). 2013. 25th Annual Conference of the EAEPE (European Association for Evolutionary Political Economy). pdf.

Book Chapters

  1. Learning Bivariate Functional Causal Models (O Goudet, D Kalainathan, M Sebag, I Guyon). 2019. In Cause Effect Pairs in Machine. p.101-153. Editeur Springer, Cham. pdf
  2. Discriminant Learning Machines. (D Kalainathan, O Goudet, M Sebag, I Guyon). 2019. In Cause Effect Pairs in Machine Learning. p. 155-189. Editeur Springer, Cham. pdf
  3. Evaluation Methods of Cause-Effect Pairs. (D Kalainathan, O Goudet, M Sebag, I Guyon). 2019. In Cause Effect Pairs in Machine Learning. p. 27-99. Editeur Springer, Cham. pdf
  4. Learning functional causal models with generative neural networks. (O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag). 2018. In Explainable and Interpretable Models in Computer Vision and Machine Learning. p.38-80. Editeur Springer, Cham. pdf. Source code

Workshops

  1. Recherche locale guidée pour la coloration de graphe (C Grelier, O Goudet, J-K Hao). 2025, February. In 26ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2025).
  2. Comparative Study of Order Crossover Variants in Memetic Algorithms for Solving the CVRP. (M S Amri Sakhri, O. Goudet). 2024. Poster. The Biennial International Conference on Artificial Evolution (EA-2024).
  3. Étude de l'émergence de nouveaux algorithmes de recherche locale par neuro-évolution. (O. Goudet, M S Amri Sakhri, A Goëffon, F Saubion). 2024. 25ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2024), 2024, Amiens, France.
  4. Algorithme mémétique avec sélection automatique d'opérateurs pour la coloration de graphe. (C. Grelier, O. Goudet, J-K Hao). 2024. 25ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2024), 2024, Amiens, France.
  5. Algorithme mémétique guidé par l'apprentissage profond pour des problèmes de coloration de graphes. (O. Goudet, C. Grelier, J-K Hao). 2023. 24ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2023), 2023, Rennes, France.
  6. Sélection automatique d'opérateurs dans un arbre de recherche de Monte-Carlo pour la coloration de graphe pondéré. (C. Grelier, O. Goudet, J-K Hao). 2023. 24ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2023), 2023, Rennes, France.
  7. Algorithme mémétique pour le désentrelacement d'impulsions radar. (J. Pinsolle, O. Goudet, C. Enderli, J-K Hao). 2023. 24ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2023), 2023, Rennes, France.
  8. Nonparametric survival estimation with missing not at random censoring indicators. (M Escobar-Bach, O Goudet). 2022. 15th International Conference of the ERCIM WG on Computational and Methodological Statistics. CMStatistics 2022. London.
  9. Nonparametric survival estimation with missing not at random censoring indicators. (M Escobar-Bach, O Goudet). 2022. International Symposium on Nonparametric Statistics (ISNPS2022). Cyprus.
  10. Evolution de population par descente de gradient pour la coloration de graphe. (O Goudet, B Duval and J-K Hao). 2022. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision.
  11. Recherche arborescente Monte-Carlo pour la coloration de graphe pondéré. (C Grelier, O Goudet and J-K Hao). 2022. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision.
  12. Learning functional causal models with generative neural networks. (O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag). 2017. NIPS Symposium on Interpretable Machine Learning.
  13. Introducing a temporary help agency in a labor market: a multi-agent model (O Goudet, G Ballot, J-D Kant). 2017. 22nd annual Workshop on the Economic Science with Heterogeneous Interacting Agents (WEHIA 2017)
  14. A multi-agent model to simulate the introduction of a temporary help agency in a labor market (G Ballot, JD Kant, O Goudet). Modelling and Analysis of Complex Monetary Economies-MACME IV. 2017. France. Workshop
  15. Introducing a temporary help agency in a labor market: a multi-agent model (O Goudet, G Ballot, JD Kant). 22nd annual Workshop on the Economic Science with Heterogeneous Interacting Agents (WEHIA). Milan 2017.
  16. Simulation multi-agents de l’introduction du contrat intérim dans le marché du travail (O Goudet, JD Kant, G Ballot). 2017. Journées MAGECO (Modèles basés Agents en Economie).
  17. A multiagent approach to evaluate labor policies (J-D Kant, G Ballot, O Goudet). 2016.MACME III–Modeling and Analysis of Complex Monetary Economies.
  18. Endogenous choices of contract types in an agent-based model of the labor market (G Ballot, J-D Kant, O Goudet). 2015. Colloque annuel TEPP (Travail, Emploi et Politiques Publiques).

Social sciences

  1. Portraits de travailleurs (D Kalainathan, O Goudet, P Caillou, M Sebag, P Tubaro, E Bourdu, T Weil). 2017. La fabrique de l’industrie. pdf
  2. Conditions objectives de travail et ressenti des individus: le rôle du management (D Kalainathan, O Goudet, P Caillou, M Sebag, P Tubaro). 2017. La fabrique de l’industrie. pdf

Thesis

La modélisation multi-agent du marché du travail français (pdf ), supervised by Dr. Jean-Daniel Kant.

Invited talks

  1. New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem. (O. Goudet, C. Grelier, D. Lesaint). 2023. PFIA. Session FR@International.
  2. Introduction to statistical learning (O Goudet). Journées scientifiques de physique médicale. Angers. Juin 2019.
  3. Introduction to Machine Learning and Deep Learning (O Goudet). 2019. Theoretical chemistry regional meeting. Angers.

Ph.D supervision

  1. Thomas Landais (ANR funding, Starting Oct. 2025, co-supervised with Pr. Sylvain Lamprier and Frédéric Saubion)
  2. Quentin Suire (French PhD scholarship, Starting Oct. 2024, co-supervised with Pr. Adrien Goëffon)

Former Ph.D student

  1. Cyril Grelier (French PhD scholarship, PhD Oct. 2020 - Dec. 2023, co-supervised with Pr. Jin-Kao Hao)
  2. Jean Pinsolle (Cifre with Thalès, PhD Mai. 2022 - avril 2025), co-supervised with Dr. Cyrille Enderli and Pr. Jin-Kao Hao)

Former Postdoc

  1. Mohamed Salim Amri Sakhri. Jul. 2023 - Dec 2024. DeepMeta project 2023. Funding : Etoiles Montantes en Pays de la Loire.

Projects

Teaching

CV and previous activities