Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Thibaut Vidal

Thibaut Vidal

Optimal Decision Diagrams for Classification

Alexandre M. Florio , Pedro Martins , Maximilian Schiffer , Thiago Serra , Thibaut Vidal

Figure 1 for Optimal Decision Diagrams for Classification

Figure 2 for Optimal Decision Diagrams for Classification

Figure 3 for Optimal Decision Diagrams for Classification

Figure 4 for Optimal Decision Diagrams for Classification

Access Paper or Ask Questions

Robust Counterfactual Explanations for Random Forests

Alexandre Forel , Axel Parmentier , Thibaut Vidal

Figure 1 for Robust Counterfactual Explanations for Random Forests

Figure 2 for Robust Counterfactual Explanations for Random Forests

Figure 3 for Robust Counterfactual Explanations for Random Forests

Figure 4 for Robust Counterfactual Explanations for Random Forests

Access Paper or Ask Questions

Optimal Counterfactual Explanations in Tree Ensembles

Axel Parmentier , Thibaut Vidal

Figure 1 for Optimal Counterfactual Explanations in Tree Ensembles

Figure 2 for Optimal Counterfactual Explanations in Tree Ensembles

Figure 3 for Optimal Counterfactual Explanations in Tree Ensembles

Figure 4 for Optimal Counterfactual Explanations in Tree Ensembles

* Authors Accepted Manuscript (AAM), to be published in the Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. Additional typo corrections. Open source code available at https://github.com/vidalt/OCEAN

Access Paper or Ask Questions

Semi-Supervised Clustering with Inaccurate Pairwise Annotations

Daniel Gribel , Michel Gendreau , Thibaut Vidal

Figure 1 for Semi-Supervised Clustering with Inaccurate Pairwise Annotations

Figure 2 for Semi-Supervised Clustering with Inaccurate Pairwise Annotations

Figure 3 for Semi-Supervised Clustering with Inaccurate Pairwise Annotations

Figure 4 for Semi-Supervised Clustering with Inaccurate Pairwise Annotations

Access Paper or Ask Questions

Community Detection in the Stochastic Block Model by Mixed Integer Programming

Breno Serrano , Thibaut Vidal

Figure 1 for Community Detection in the Stochastic Block Model by Mixed Integer Programming

Figure 2 for Community Detection in the Stochastic Block Model by Mixed Integer Programming

Figure 3 for Community Detection in the Stochastic Block Model by Mixed Integer Programming

Figure 4 for Community Detection in the Stochastic Block Model by Mixed Integer Programming

Access Paper or Ask Questions

**Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood**

Figure 1 for Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Figure 2 for Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Figure 3 for Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Figure 4 for Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Access Paper or Ask Questions

Assortative-Constrained Stochastic Block Models

Daniel Gribel , Thibaut Vidal , Michel Gendreau

Figure 1 for Assortative-Constrained Stochastic Block Models

Figure 2 for Assortative-Constrained Stochastic Block Models

Figure 3 for Assortative-Constrained Stochastic Block Models

Figure 4 for Assortative-Constrained Stochastic Block Models

Access Paper or Ask Questions

Born-Again Tree Ensembles

Thibaut Vidal , Toni Pacheco , Maximilian Schiffer

Figure 1 for Born-Again Tree Ensembles

Figure 2 for Born-Again Tree Ensembles

Figure 3 for Born-Again Tree Ensembles

Figure 4 for Born-Again Tree Ensembles

Access Paper or Ask Questions

PILS: Exploring high-order neighborhoods by pattern mining and injection

Florian Arnold , Ítalo Santana , Kenneth Sörensen , Thibaut Vidal

Figure 1 for PILS: Exploring high-order neighborhoods by pattern mining and injection

Figure 2 for PILS: Exploring high-order neighborhoods by pattern mining and injection

Figure 3 for PILS: Exploring high-order neighborhoods by pattern mining and injection

Figure 4 for PILS: Exploring high-order neighborhoods by pattern mining and injection

Access Paper or Ask Questions