Xavier Renard

27 papers A* 1B 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study.
CoRR
Nour Bouchouchi, Thibault Laugel, Xavier Renard, Christophe Marsala, Marie-Jeanne Lesot, Marcin Detyniecki
2025 J jnl
Metric assessment protocol in the context of answer fluctuation on MCQ tasks.
CoRR
Ekaterina Goliakova, Xavier Renard, Marie-Jeanne Lesot, Thibault Laugel, Christophe Marsala, Marcin Detyniecki
2024 J jnl
Post-processing fairness with minimal changes.
CoRR
Federico Di Gennaro, Thibault Laugel, Vincent Grari, Xavier Renard, Marcin Detyniecki
2024 J jnl
Understanding prediction discrepancies in classification.
Mach. Learn.
Xavier Renard, Thibault Laugel, Marcin Detyniecki
2023 — conf
Dynamic Interpretability for Model Comparison via Decision Rules.
PKDD/ECML Workshops (1)
Adam Rida, Marie-Jeanne Lesot, Xavier Renard, Christophe Marsala
2023 J jnl
Dynamic Interpretability for Model Comparison via Decision Rules.
CoRR
Adam Rida, Marie-Jeanne Lesot, Xavier Renard, Christophe Marsala
2022 — conf
On the Granularity of Explanations in Model Agnostic NLP Interpretability.
PKDD/ECML Workshops (1)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
2021 — conf
How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice.
PKDD/ECML Workshops (1)
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
2021 J jnl
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice.
CoRR
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
2021 J jnl
On the overlooked issue of defining explanation objectives for local-surrogate explainers.
CoRR
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
2021 J jnl
Understanding Prediction Discrepancies in Machine Learning Classifiers.
CoRR
Xavier Renard, Thibault Laugel, Marcin Detyniecki
2021 J jnl
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage.
CoRR
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
2020 J jnl
QUACKIE: A NLP Classification Task With Ground Truth Explanations.
CoRR
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
2020 J jnl
Sentence-Based Model Agnostic NLP Interpretability.
CoRR
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
2019 J jnl
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees.
CoRR
Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, Marcin Detyniecki
2019 J jnl
Imperceptible Adversarial Attacks on Tabular Data.
CoRR
Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
2019 — conf
Localized Random Shapelets.
AALTD@PKDD/ECML
Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard
2019 A* conf
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations.
IJCAI
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2019 J jnl
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations.
CoRR
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2019 — conf
Unjustified Classification Regions and Counterfactual Explanations in Machine Learning.
ECML/PKDD (2)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2018 — conf
Comparison-Based Inverse Classification for Interpretability in Machine Learning.
IPMU (1)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2018 J jnl
Defining Locality for Surrogates in Post-hoc Interpretablity.
CoRR
Thibault Laugel, Xavier Renard, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2018 — conf
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense.
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2018 J jnl
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense.
CoRR
Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2017 J jnl
Inverse Classification for Comparison-based Interpretability in Machine Learning.
CoRR
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2017 — —
Time series representation for classification: a motif-based approach. (Représentation de séries temporelles pour la classification: une approche basée sur la découverte automatique de motifs).
Xavier Renard
2015 B conf
Random-shapelet: An algorithm for fast shapelet discovery.
DSAA
Xavier Renard, Maria Rifqi, Walid Erray, Marcin Detyniecki