Clément Bénard

12 papers A* 1A 3C 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Sensitivity Analysis in Surveillance Performance Monitoring for Air Traffic Management. FUSION Nicolas Honore, Clément Bénard, Christophe Labreuche
2025	J	`jnl`	Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm. CoRR Clément Bénard
2024	A	`conf`	MMD-based Variable Importance for Distributional Random Forest. AISTATS Clément Bénard, Jeffrey Näf, Julie Josse
2023	A*	`conf`	Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization. NeurIPS Clément Bénard, Brian Staber, Sébastien Da Veiga
2023	J	`jnl`	MMD-based Variable Importance for Distributional Random Forest. CoRR Clément Bénard, Jeffrey Näf, Julie Josse
2022	A	`conf`	SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. AISTATS Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
2021	—	`—`	Forêts aléatoires et interprétabilité des algorithmes d'apprentissage. (Random forests and interpretability of learning algorithms). Clément Bénard
2021	A	`conf`	Interpretable Random Forests via Rule Extraction. AISTATS Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
2021	J	`jnl`	MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA. CoRR Clément Bénard, Sébastien Da Veiga, Erwan Scornet
2021	J	`jnl`	SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. CoRR Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
2020	J	`jnl`	Interpretable Random Forests via Rule Extraction. CoRR Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
2019	J	`jnl`	SIRUS: making random forests interpretable. CoRR Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet