Victor Guyomard

According to our database, Victor Guyomard authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Breaking SafetyCore: Exploring the Risks of On-Device AI Deployment.

Victor Guyomard, Mathis Mauvisseau, Marie Paindavoine

CoRR, September, 2025

2024

Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers.

Vincent Lemaire, Nathan Le Boudec, Victor Guyomard, Françoise Fessant

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.

Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard

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.

Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard

CoRR, 2023

Interactive Visualization of Counterfactual Explanations for Tabular Data.

Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Generating Robust Counterfactual Explanations.

Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Visualiser des explications contrefactuelles pour des données tabulaires.

Victor Guyomard, François Wallyn, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

VCNet: A Self-explaining Model for Realistic Counterfactual Generation.

Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé.

Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

Post-hoc Counterfactual Generation with Supervised Autoencoder.

Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021