Damien Garreau

According to our database, Damien Garreau authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CAM-Based Methods Can See Through Walls.

Magamed Taimeskhanov, Ronan Sicre, Damien Garreau

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Workshop on Human-Interpretable AI.

Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Attention Meets Post-hoc Interpretability: A Mathematical Perspective.

Gianluigi Lopardo, Frédéric Precioso, Damien Garreau

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GLEAMS: Bridging the Gap Between Local and Global Explanations.

Giorgio Visani, Vincenzo Stanzione, Damien Garreau

Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024

The Risks of Recourse in Binary Classification.

Hidde Fokkema, Damien Garreau, Tim van Erven

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition.

Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau

J. Mach. Learn. Res., 2023

Are ensembles getting better all the time?

Pierre-Alexandre Mattei, Damien Garreau

CoRR, 2023

Faithful and Robust Local Interpretability for Textual Predictions.

Gianluigi Lopardo, Frédéric Precioso, Damien Garreau

CoRR, 2023

Understanding Post-hoc Explainers: The Case of Anchors.

Gianluigi Lopardo, Frédéric Precioso, Damien Garreau

CoRR, 2023

Explainability as statistical inference.

Hugo Henri Joseph Sénétaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei

Proceedings of the International Conference on Machine Learning, 2023

On the Robustness of Text Vectorizers.

Rémi Catellier, Samuel Vaiter, Damien Garreau

Proceedings of the International Conference on Machine Learning, 2023

A Sea of Words: An In-Depth Analysis of Anchors for Text Data.

Gianluigi Lopardo, Frédéric Precioso, Damien Garreau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network.

Buntheng Ly, Sonny Finsterbach, Marta Nuñez Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

SMACE: A New Method for the Interpretability of Composite Decision Systems.

Gianluigi Lopardo, Damien Garreau, Frédéric Precioso, Greger Ottosson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Comparing Feature Importance and Rule Extraction for Interpretability on Text Data.

Gianluigi Lopardo, Damien Garreau

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

How to scale hyperparameters for quickshift image segmentation.

Damien Garreau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Comparison-based centrality measures.

Luca Rendsburg, Damien Garreau

Int. J. Data Sci. Anal., 2021

What does LIME really see in images?

Damien Garreau, Dina Mardaoui

Proceedings of the 38th International Conference on Machine Learning, 2021

An Analysis of LIME for Text Data.

Dina Mardaoui, Damien Garreau

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection.

Nicolas Keriven, Damien Garreau, Iacopo Poli

IEEE Trans. Signal Process., 2020

Looking deeper into LIME.

Damien Garreau, Ulrike von Luxburg

CoRR, 2020

Explaining the Explainer: A First Theoretical Analysis of LIME.

Damien Garreau, Ulrike von Luxburg

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Dynamics of the knowledge instinct: Effects of incoherence on the cognitive system.

Felix Schoeller, Mickaël Eskinazi, Damien Garreau

Cogn. Syst. Res., 2018

When do random forests fail?

Cheng Tang, Damien Garreau, Ulrike von Luxburg

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Comparison-Based Random Forests.

Siavash Haghiri, Damien Garreau, Ulrike von Luxburg

Proceedings of the 35th International Conference on Machine Learning, 2018

2014

Metric Learning for Temporal Sequence Alignment.

Rémi Lajugie, Damien Garreau, Francis R. Bach, Sylvain Arlot

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014