Olivier Goudet

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



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

Preprints

• Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures (J Pinsolle, O Goudet, C Enderli, S Lamprier, J-K Hao). 2024.
• Survival Estimation for Missing not at Random Censoring Indicators based on Copula Models (M Escobar-Bach, O Goudet). 2023. arXiv preprint.

Conference papers

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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
7. 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
8. WorkSim, an agent-based framework to study labor markets (J.‑D. Kant, G. Ballot, O. Goudet). International Conference on Agent Computing. , Fairfax, USA. pdf
9. 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
10. 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

Published journal papers

1. A massively parallel evolutionary algorithm for the partial Latin square extension problem. (O Goudet and JK Hao). 2023. Computers and Operations Research. Source Code .
2. A deep learning guided memetic framework for graph coloring problems. (O Goudet, C Grelier and JK Hao). 2022. Journal Knowledge-Based System. arXiv preprint. . Source Code .
3. 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.
4. 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
5. 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
6. 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.
7. 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
8. 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
9. 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). Revue Economique, vol. 67 (4), pp. 831-869, (Presses de Sciences Po). 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

Workshops

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. Nonparametric survival estimation with missing not at random censoring indicators. (M Escobar-Bach, O Goudet). 2022. International Symposium on Nonparametric Statistics (ISNPS2022). Cyprus.
8. 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.
9. 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.
10. 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.
11. 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)
12. 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
13. 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.
14. 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).
15. A multiagent approach to evaluate labor policies (J-D Kant, G Ballot, O Goudet). 2016.MACME III–Modeling and Analysis of Complex Monetary Economies.
16. 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.

Thesis

Invited talks

1. Introduction to statistical learning (O Goudet). Journées scientifiques de physique médicale. Angers. Juin 2019.
2. Introduction to Machine Learning and Deep Learning (O Goudet). 2019. Theoretical chemistry regional meeting. Angers.

Ph.D supervision

1. Jean Pinsolle (Cifre with Thalès, PhD starting Mai. 2022, co-supervised with Dr. Cyrille Enderli and Pr. Jin-Kao Hao)

Former Ph.D student

1. Cyril Grelier (French PhD scholarship, PhD Oct. 2020 - Dec. 2023, co-supervised with Pr. Jin-Kao Hao)

Projects

• Combo project - 2024 - 2028 - funding : ANR PRC 2023.
• DeepMeta project 2023 - 2024 - funding : Etoiles Montantes en Pays de la Loire.
• CausalGen. Défis scientifiques Amorçage 2018. Atlanstic.
• WorkSim.

Teaching

• Network inference for biology. Master 2 data science.
• Reinforcement learning. Master 1 computer science.
• Design pattern in Java. Master 1 computer science.
• Introduction to data science and Machine learning. Licence 3.
• Java. Licence 2 and licence 3.
• Python. Licence 1.
• Linux. Licence 1.

CV and previous activities

• CV (french)
• Short bio:
  
Olivier Goudet holds an associate professor position in the Department of Computer Science of the University of Angers (France) since 2018. He is a member the LERIA Laboratory (Angers Computer Science Lab).
He received his diploma of Supaero (engineering school of space and aeronautics) in 2008 and his Ph.D. in Multi-Agent Systems (2015) from Pierre and Marie Curie University (Paris 6), supervised by Dr. Jean-Daniel Kant.
He did a postdoc in the INRIA TAU Team from 2016 to 2018, supervised by Pr. Michèle Sebag, Pr. Isabelle Guyon and Dr. Philippe Caillou.
His research interests include Machine learning, metaheuristics and intelligent computing, learning-based combinatorial optimization, causality and multi-agent systems.