Thibault Laugel

According to our database, Thibault Laugel authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

2024

Understanding prediction discrepancies in classification.

Xavier Renard, Thibault Laugel, Marcin Detyniecki

Mach. Learn., October, 2024

Post-processing fairness with minimal changes.

Federico Di Gennaro, Thibault Laugel, Vincent Grari, Xavier Renard, Marcin Detyniecki

CoRR, 2024

Why do explanations fail? A typology and discussion on failures in XAI.

Clara Bove, Thibault Laugel, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki

CoRR, 2024

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing.

Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A general framework for personalising post hoc explanations through user knowledge integration.

Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

Int. J. Approx. Reason., September, 2023

When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms.

Natasa Krco, Thibault Laugel, Jean-Michel Loubes, Marcin Detyniecki

CoRR, 2023

Knowledge Integration in XAI with Gödel Integrals.

Adulam Jeyasothy, Agnès Rico, Marie-Jeanne Lesot, Christophe Marsala, Thibault Laugel

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Achieving Diversity in Counterfactual Explanations: a Review and Discussion.

Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Intégration de connaissances dans les méthodes d'explications post-hoc.

Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Integrating Prior Knowledge in Post-hoc Explanations.

Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021

Understanding surrogate explanations: the interplay between complexity, fidelity and coverage.

Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki

CoRR, 2021

On the overlooked issue of defining explanation objectives for local-surrogate explainers.

Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki

CoRR, 2021

Understanding Prediction Discrepancies in Machine Learning Classifiers.

Xavier Renard, Thibault Laugel, Marcin Detyniecki

CoRR, 2021

How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice.

Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki

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

2020

Local Post-hoc Interpretability for Black-box Classifiers. (Interprétabilité Locale Post-hoc des Algorithmes de Classification "Boîtes noires").

Thibault Laugel

PhD thesis, 2020

2019

Imperceptible Adversarial Attacks on Tabular Data.

Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki

CoRR, 2019

Issues with post-hoc counterfactual explanations: a discussion.

Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

CoRR, 2019

Unjustified Classification Regions and Counterfactual Explanations in Machine Learning.

Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations.

Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Defining Locality for Surrogates in Post-hoc Interpretablity.

Thibault Laugel, Xavier Renard, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

CoRR, 2018

Detecting Potential Local Adversarial Examples for Human-Interpretable Defense.

Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki

Proceedings of the ECML PKDD 2018 Workshops, 2018

Comparison-Based Inverse Classification for Interpretability in Machine Learning.

Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2017

Inverse Classification for Comparison-based Interpretability in Machine Learning.

Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki

CoRR, 2017