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Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Sczepanski.
On Contrastive Explanations for Tree-Based Classifiers”. To appear in proceedings of ECAI, 2023.


Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis.
Computing Abductive Explanations for Boosted Regression Trees”. In proceedings of IJCAI, 2023, pp 3432-3441.


Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski.
Computing Abductive Explanations for Boosted Trees”. In proceedings of AISTATS’23. PMLR 206:4699-4711.
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Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis.
On the explanatory power of Boolean decision trees”. In Data & Knowledge Engenieering. Vol 142, 2022.
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Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis.
On Preferred Abductive Explanations for Decision Trees and Random Forests”. In proceedings of IJCAI22, pp 643-650.
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Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski.
Computing Abductive Explanations for Boosted Trees”. CoRR abs/2209.07740 (2022).
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Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis.
Trading Complexity for Sparsity in Random Forest Explanations”. In proceedings of AAAI22, pp 5461-5469.
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Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis.
On the Computational Intelligibility of Boolean Classifiers”. In proceedings of KR’21, pp 74-86.
pdf   video


Gilles Audemard, Frédéric Koriche, Pierre Marquis.
On Tractable XAI Queries based on Compiled Representations”. In proceedings of KR’20, pp. 838-849.
pdf    video