Xavier Renard

According to our database, Xavier Renard authored at least 21 papers between 2015 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

2023

Dynamic Interpretability for Model Comparison via Decision Rules.

Adam Rida, Marie-Jeanne Lesot, Xavier Renard, Christophe Marsala

CoRR, 2023

2022

On the Granularity of Explanations in Model Agnostic NLP Interpretability.

Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki

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

QUACKIE: A NLP Classification Task With Ground Truth Explanations.

Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki

CoRR, 2020

Sentence-Based Model Agnostic NLP Interpretability.

Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki

CoRR, 2020

2019

Imperceptible Adversarial Attacks on Tabular Data.

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

CoRR, 2019

Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees.

Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, 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

Localized Random Shapelets.

Maël Guillemé, Simon Malinowski, Romain Tavenard, Xavier Renard

Proceedings of the Advanced Analytics and Learning on Temporal Data, 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

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

PhD thesis, 2017

Inverse Classification for Comparison-based Interpretability in Machine Learning.

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

CoRR, 2017

2015

Random-shapelet: An algorithm for fast shapelet discovery.

Xavier Renard, Maria Rifqi, Walid Erray, Marcin Detyniecki

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015