Thibault Laugel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Knowledge Integration

Robust Optimization

Machine Learning

Incorporation Of Prior Knowledge

Top Venues

Int. J. Approx. Reason.

Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML

Publications

Clara Bove, Thibault Laugel, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
Why do explanations fail? A typology and discussion on failures in XAI. CoRR (2024)
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR (2024)
Natasa Krco, Thibault Laugel, Jean-Michel Loubes, Marcin Detyniecki
When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms. CoRR (2023)
Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Achieving Diversity in Counterfactual Explanations: a Review and Discussion. CoRR (2023)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
A general framework for personalising post hoc explanations through user knowledge integration. Int. J. Approx. Reason. 160 (2023)
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR (2023)
Adulam Jeyasothy, Agnès Rico, Marie-Jeanne Lesot, Christophe Marsala, Thibault Laugel
Knowledge Integration in XAI with Gödel Integrals. FUZZ (2023)
Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Achieving Diversity in Counterfactual Explanations: a Review and Discussion. FAccT (2023)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Integrating Prior Knowledge in Post-hoc Explanations. CoRR (2022)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Intégration de connaissances dans les méthodes d'explications post-hoc. LFA (2022)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Integrating Prior Knowledge in Post-hoc Explanations. IPMU (2) (2022)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
On the overlooked issue of defining explanation objectives for local-surrogate explainers. CoRR (2021)
Xavier Renard, Thibault Laugel, Marcin Detyniecki
Understanding Prediction Discrepancies in Machine Learning Classifiers. CoRR (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. CoRR (2021)
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. CoRR (2021)
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. PKDD/ECML Workshops (1) (2021)
Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
Imperceptible Adversarial Attacks on Tabular Data. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Issues with post-hoc counterfactual explanations: a discussion. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. IJCAI (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Unjustified Classification Regions and Counterfactual Explanations in Machine Learning. ECML/PKDD (2) (2019)
Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. CoRR (2018)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Comparison-Based Inverse Classification for Interpretability in Machine Learning. IPMU (1) (2018)
Thibault Laugel, Xavier Renard, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Defining Locality for Surrogates in Post-hoc Interpretablity. CoRR (2018)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Inverse Classification for Comparison-based Interpretability in Machine Learning. CoRR (2017)