Damien Garreau

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Top Venues

Publications

Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli
Workshop on Human-Interpretable AI. KDD (2024)
Hidde Fokkema, Damien Garreau, Tim van Erven
The Risks of Recourse in Binary Classification. AISTATS (2024)
Magamed Taimeskhanov, Ronan Sicre, Damien Garreau
CAM-Based Methods Can See through Walls. CoRR (2024)
Gianluigi Lopardo, Frédéric Precioso, Damien Garreau
Attention Meets Post-hoc Interpretability: A Mathematical Perspective. CoRR (2024)
Hugo Henri Joseph Sénétaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei
Explainability as statistical inference. ICML (2023)
Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition. J. Mach. Learn. Res. 24 (2023)
Gianluigi Lopardo, Frédéric Precioso, Damien Garreau
A Sea of Words: An In-Depth Analysis of Anchors for Text Data. AISTATS (2023)
Gianluigi Lopardo, Frédéric Precioso, Damien Garreau
Understanding Post-hoc Explainers: The Case of Anchors. CoRR (2023)
Gianluigi Lopardo, Frédéric Precioso, Damien Garreau
Faithful and Robust Local Interpretability for Textual Predictions. CoRR (2023)
Rémi Catellier, Samuel Vaiter, Damien Garreau
On the Robustness of Text Vectorizers. CoRR (2023)
Hidde Fokkema, Damien Garreau, Tim van Erven
The Risks of Recourse in Binary Classification. CoRR (2023)
Pierre-Alexandre Mattei, Damien Garreau
Are ensembles getting better all the time? CoRR (2023)
Rémi Catellier, Samuel Vaiter, Damien Garreau
On the Robustness of Text Vectorizers. ICML (2023)
Gianluigi Lopardo, Damien Garreau
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data. CoRR (2022)
Damien Garreau
How to scale hyperparameters for quickshift image segmentation. AISTATS (2022)
Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, Maxime Sermesant
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network. STACOM@MICCAI (2022)
Gianluigi Lopardo, Damien Garreau, Frédéric Precioso
A Sea of Words: An In-Depth Analysis of Anchors for Text Data. CoRR (2022)
Gianluigi Lopardo, Damien Garreau
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data. ICPR Workshops (3) (2022)
Gianluigi Lopardo, Damien Garreau, Frédéric Precioso, Greger Ottosson
SMACE: A New Method for the Interpretability of Composite Decision Systems. ECML/PKDD (1) (2022)
Hugo Henri Joseph Sénétaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei
Explainability as statistical inference. CoRR (2022)
Damien Garreau
How to scale hyperparameters for quickshift image segmentation. CoRR (2022)
Luca Rendsburg, Damien Garreau
Comparison-based centrality measures. Int. J. Data Sci. Anal. 11 (3) (2021)
Gianluigi Lopardo, Damien Garreau, Frédéric Precioso, Greger Ottosson
SMACE: A New Method for the Interpretability of Composite Decision Systems. CoRR (2021)
Damien Garreau, Dina Mardaoui
What does LIME really see in images? CoRR (2021)
Dina Mardaoui, Damien Garreau
An Analysis of LIME for Text Data. AISTATS (2021)
Damien Garreau, Dina Mardaoui
What does LIME really see in images? ICML (2021)
Nicolas Keriven, Damien Garreau, Iacopo Poli
NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection. IEEE Trans. Signal Process. 68 (2020)
Dina Mardaoui, Damien Garreau
An Analysis of LIME for Text Data. CoRR (2020)
Damien Garreau, Ulrike von Luxburg
Looking deeper into LIME. CoRR (2020)
Damien Garreau, Ulrike von Luxburg
Explaining the Explainer: A First Theoretical Analysis of LIME. AISTATS (2020)
Damien Garreau, Ulrike von Luxburg
Explaining the Explainer: A First Theoretical Analysis of LIME. CoRR (2020)
Siavash Haghiri, Damien Garreau, Ulrike von Luxburg
Comparison-Based Random Forests. CoRR (2018)
Siavash Haghiri, Damien Garreau, Ulrike von Luxburg
Comparison-Based Random Forests. ICML (2018)
Nicolas Keriven, Damien Garreau, Iacopo Poli
NEWMA: a new method for scalable model-free online change-point detection. CoRR (2018)
Felix Schoeller, Mickaël Eskinazi, Damien Garreau
Dynamics of the knowledge instinct: Effects of incoherence on the cognitive system. Cogn. Syst. Res. 47 (2018)
Cheng Tang, Damien Garreau, Ulrike von Luxburg
When do random forests fail? NeurIPS (2018)
Damien Garreau, Rémi Lajugie, Sylvain Arlot, Francis R. Bach
Metric Learning for Temporal Sequence Alignment. CoRR (2014)
Rémi Lajugie, Damien Garreau, Francis R. Bach, Sylvain Arlot
Metric Learning for Temporal Sequence Alignment. NIPS (2014)