Olivier Goudet

According to our database, Olivier Goudet authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures.

Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Sylvain Lamprier, Jin-Kao Hao

CoRR, 2024

A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring.

Cyril Grelier, Olivier Goudet, Jin-Kao Hao

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Emergence of New Local Search Algorithms with Neuro-Evolution.

Olivier Goudet, Mohamed Salim Amri Sakhri, Adrien Goëffon, Frédéric Saubion

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

2023

A massively parallel evolutionary algorithm for the partial Latin square extension problem.

Olivier Goudet, Jin-Kao Hao

Comput. Oper. Res., October, 2023

Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring.

Cyril Grelier, Olivier Goudet, Jin-Kao Hao

CoRR, 2023

New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem.

Olivier Goudet, Cyril Grelier, David Lesaint

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Memetic Algorithm for Deinterleaving Pulse Trains.

Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Jin-Kao Hao

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring.

Cyril Grelier, Olivier Goudet, Jin-Kao Hao

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

2022

A deep learning guided memetic framework for graph coloring problems.

Olivier Goudet, Cyril Grelier, Jin-Kao Hao

Knowl. Based Syst., 2022

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs.

Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag

J. Mach. Learn. Res., 2022

On Monte Carlo Tree Search for Weighted Vertex Coloring.

Cyril Grelier, Olivier Goudet, Jin-Kao Hao

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

2021

Population-based gradient descent weight learning for graph coloring problems.

Olivier Goudet, Béatrice Duval, Jin-Kao Hao

Knowl. Based Syst., 2021

Massively parallel hybrid search for the partial Latin square extension problem.

Olivier Goudet, Jin-Kao Hao

CoRR, 2021

2020

Causal Discovery Toolbox: Uncovering causal relationships in Python.

Diviyan Kalainathan, Olivier Goudet, Ritik Dutta

J. Mach. Learn. Res., 2020

WorkSim: An Agent-Based Model of Labor Markets.

Jean-Daniel Kant, Gérard Ballot, Olivier Goudet

J. Artif. Soc. Soc. Simul., 2020

On the study of the Beran estimator for generalized censoring indicators.

Mikael Escobar-Bach, Olivier Goudet

CoRR, 2020

2019

Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring.

Olivier Goudet, Béatrice Duval, Jin-Kao Hao

CoRR, 2019

Discriminant Learning Machines.

Diviyan Kalainathan, Olivier Goudet, Michèle Sebag, Isabelle Guyon

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Evaluation Methods of Cause-Effect Pairs.

Isabelle Guyon, Olivier Goudet, Diviyan Kalainathan

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Learning Bivariate Functional Causal Models.

Olivier Goudet, Diviyan Kalainathan, Michèle Sebag, Isabelle Guyon

Proceedings of the Cause Effect Pairs in Machine Learning, 2019

2015

La modélisation multi-agent du marché du travail français. (The multi-agent modelling of the french labor market).

Olivier Goudet

PhD thesis, 2015