Xavier Renard

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Venues

CoRR

PKDD/ECML Workshops (1)

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

ECML/PKDD (2)

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Adam Rida, Marie-Jeanne Lesot, Xavier Renard, Christophe Marsala
Dynamic Interpretability for Model Comparison via Decision Rules. CoRR (2023)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
On the Granularity of Explanations in Model Agnostic NLP Interpretability. PKDD/ECML Workshops (1) (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)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
QUACKIE: A NLP Classification Task With Ground Truth Explanations. CoRR (2020)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
Sentence-Based Model Agnostic NLP Interpretability. CoRR (2020)
Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
Imperceptible Adversarial Attacks on Tabular Data. CoRR (2019)
Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard
Localized Random Shapelets. AALTD@PKDD/ECML (2019)
Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, Marcin Detyniecki
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees. 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, 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)
Xavier Renard, Maria Rifqi, Walid Erray, Marcin Detyniecki
Random-shapelet: An algorithm for fast shapelet discovery. DSAA (2015)

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Publication Activity (10 Years)

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Xavier Renard