Damien Garreau
15 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
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(14)
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(8)
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(2)
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(3)
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(70)
Conferences
AISTATS (5)
ICML (5)
JMLR (2)
NIPS (2)
IJCAI (1)
Top co-authors
Keywords
neural network
(3)
random forest
(3)
feature attribution
(3)
feature importance
(2)
text classification
(2)
model explanation
(2)
metric learning
(2)
interpretability method
(2)
binary classification
(1)
gaussian processes
(1)
risk management
(1)
feature selection
(1)
image segmentation
(1)
natural language processing
(1)
statistical inference
(1)
generalization error
(1)
time series
(1)
structured prediction
(1)
mahalanobis distance
(1)
gaussian process
(1)
Papers
Are Ensembles Getting Better All the Time?
JMLR 2025
CAM-Based Methods Can See through Walls (Extended Abstract)
IJCAI 2025
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
ICML 2024
The Risks of Recourse in Binary Classification
AISTATS 2024
On the Robustness of Text Vectorizers
ICML 2023
Explainability as statistical inference
ICML 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
AISTATS 2023
How to scale hyperparameters for quickshift image segmentation
AISTATS 2022
An Analysis of LIME for Text Data
AISTATS 2021
What does LIME really see in images?
ICML 2021
Explaining the Explainer: A First Theoretical Analysis of LIME
AISTATS 2020
Comparison-Based Random Forests
ICML 2018
When do random forests fail?
NIPS 2018
Metric Learning for Temporal Sequence Alignment
NIPS 2014