Olivier Goudet

Orcid: 0000-0001-7040-5052

According to our database1, Olivier Goudet authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Deinterleaving of Discrete Renewal Process Mixtures With Application to Electronic Support Measures.
IEEE Trans. Signal Process., 2024

A large population island framework for the unconstrained binary quadratic problem.
Comput. Oper. Res., 2024

Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Emergence of New Local Search Algorithms with Neuro-Evolution.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

2023
A massively parallel evolutionary algorithm for the partial Latin square extension problem.
Comput. Oper. Res., October, 2023

Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring.
CoRR, 2023

New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Memetic Algorithm for Deinterleaving Pulse Trains.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

2022
A deep learning guided memetic framework for graph coloring problems.
Knowl. Based Syst., 2022

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs.
J. Mach. Learn. Res., 2022

On Monte Carlo Tree Search for Weighted Vertex Coloring.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

2021
Population-based gradient descent weight learning for graph coloring problems.
Knowl. Based Syst., 2021

Massively parallel hybrid search for the partial Latin square extension problem.
CoRR, 2021

2020
Causal Discovery Toolbox: Uncovering causal relationships in Python.
J. Mach. Learn. Res., 2020

WorkSim: An Agent-Based Model of Labor Markets.
J. Artif. Soc. Soc. Simul., 2020

On the study of the Beran estimator for generalized censoring indicators.
CoRR, 2020

2019
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring.
CoRR, 2019

Discriminant Learning Machines.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Evaluation Methods of Cause-Effect Pairs.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

Learning Bivariate Functional Causal Models.
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).
PhD thesis, 2015


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