Damien Garreau

Orcid: 0000-0002-7855-2847

According to our database1, Damien Garreau authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
GLEAMS: Bridging the Gap Between Local and Global Explanations.
CoRR, 2024

CAM-Based Methods Can See Through Walls.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Workshop on Human-Interpretable AI.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Attention Meets Post-hoc Interpretability: A Mathematical Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Risks of Recourse in Binary Classification.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition.
J. Mach. Learn. Res., 2023

Are ensembles getting better all the time?
CoRR, 2023

Faithful and Robust Local Interpretability for Textual Predictions.
CoRR, 2023

Understanding Post-hoc Explainers: The Case of Anchors.
CoRR, 2023

Explainability as statistical inference.
Proceedings of the International Conference on Machine Learning, 2023

On the Robustness of Text Vectorizers.
Proceedings of the International Conference on Machine Learning, 2023

A Sea of Words: An In-Depth Analysis of Anchors for Text Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Comparing Feature Importance and Rule Extraction for Interpretability on Text Data.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Comparison-based centrality measures.
Int. J. Data Sci. Anal., 2021

What does LIME really see in images?
Proceedings of the 38th International Conference on Machine Learning, 2021

An Analysis of LIME for Text Data.
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.
IEEE Trans. Signal Process., 2020

Looking deeper into LIME.
CoRR, 2020

Explaining the Explainer: A First Theoretical Analysis of LIME.
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.
Cogn. Syst. Res., 2018

When do random forests fail?
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Comparison-Based Random Forests.
Proceedings of the 35th International Conference on Machine Learning, 2018

2014
Metric Learning for Temporal Sequence Alignment.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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