Garreau, Damien

17 publications

JMLR 2025 Are Ensembles Getting Better All the Time? Pierre-Alexandre Mattei, Damien Garreau

IJCAI 2025 CAM-Based Methods Can See Through Walls (Extended Abstract) Magamed Taimeskhanov, Ronan Sicre, Damien Garreau

ICML 2024 Attention Meets Post-Hoc Interpretability: A Mathematical Perspective Gianluigi Lopardo, Frederic Precioso, Damien Garreau

ECML-PKDD 2024 CAM-Based Methods Can See Through Walls Magamed Taimeskhanov, Ronan Sicre, Damien Garreau

AISTATS 2024 The Risks of Recourse in Binary Classification Hidde Fokkema, Damien Garreau, Tim Erven

AISTATS 2023 A Sea of Words: An In-Depth Analysis of Anchors for Text Data Gianluigi Lopardo, Frederic Precioso, Damien Garreau

ICML 2023 Explainability as Statistical Inference Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei

JMLR 2023 Kernel-Matrix Determinant Estimates from Stopped Cholesky Decomposition Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau

ICML 2023 On the Robustness of Text Vectorizers Rémi Catellier, Samuel Vaiter, Damien Garreau

AISTATS 2022 How to Scale Hyperparameters for Quickshift Image Segmentation Damien Garreau

ECML-PKDD 2022 SMACE: A New Method for the Interpretability of Composite Decision Systems Gianluigi Lopardo, Damien Garreau, Frédéric Precioso, Greger Ottosson

AISTATS 2021 An Analysis of LIME for Text Data Dina Mardaoui, Damien Garreau

ICML 2021 What Does LIME Really See in Images? Damien Garreau, Dina Mardaoui

AISTATS 2020 Explaining the Explainer: A First Theoretical Analysis of LIME Damien Garreau, Ulrike Luxburg

ICML 2018 Comparison-Based Random Forests Siavash Haghiri, Damien Garreau, Ulrike Luxburg

NeurIPS 2018 When Do Random Forests Fail? Cheng Tang, Damien Garreau, Ulrike von Luxburg

NeurIPS 2014 Metric Learning for Temporal Sequence Alignment Damien Garreau, Rémi Lajugie, Sylvain Arlot, Francis Bach