Victor Guyomard

According to our database1, Victor Guyomard authored at least 9 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2024

Voir le processus de création d'exemples contrefactuels comme une source de connaissance - Application au classifieur Naïf de Bayes.
Proceedings of the Extraction et Gestion des Connaissances, 2024

2023
Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier.
CoRR, 2023

Interactive Visualization of Counterfactual Explanations for Tabular Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Generating Robust Counterfactual Explanations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Visualiser des explications contrefactuelles pour des données tabulaires.
Proceedings of the Extraction et Gestion des Connaissances, 2023

2022
VCNet: A Self-explaining Model for Realistic Counterfactual Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Post-hoc Counterfactual Generation with Supervised Autoencoder.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021


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