Damien Garreau
Damien Garreau
Assistant Professor, Universite Cote d'Azur (France)
Verified email at unice.fr - Homepage
Title
Cited by
Cited by
Year
Metric learning for temporal sequence alignment
D Garreau, R Lajugie, S Arlot, F Bach
Advances in Neural Information Processing Systems 27 (NeurIPS 2014), 1817-1825, 2014
562014
Consistent change-point detection with kernels
D Garreau, S Arlot
Electronic Journal of Statistics 12 (2), 4440-4486, 2018
532018
Large sample analysis of the median heuristic
D Garreau, W Jitkrittum, M Kanagawa
arXiv preprint arXiv:1707.07269, 2017
412017
When do random forests fail?
C Tang, D Garreau, U von Luxburg
Advances in Neural Information Processing Systems, 2018
382018
Explaining the Explainer: A First Theoretical Analysis of LIME
D Garreau, U von Luxburg
AISTATS 2020 108, 1287-1296, 2020
312020
Comparison-Based Random Forests
S Haghiri, D Garreau, U von Luxburg
35th International Conference on Machine Learning (ICML), 2018
152018
NEWMA: a new method for scalable model-free online change-point detection
N Keriven, D Garreau, I Poli
IEEE Transactions on Signal Processing 68, 3515-3528, 2020
142020
Looking deeper into tabular LIME
D Garreau, U von Luxburg
arXiv preprint arXiv:2008.11092, 2020
13*2020
An analysis of LIME for text data
D Mardaoui, D Garreau
International Conference on Artificial Intelligence and Statistics, 3493-3501, 2021
92021
Dynamics of the knowledge instinct: Effects of incoherence on the cognitive system
F Schoeller, M Eskinazi, D Garreau
Cognitive Systems Research 47, 85-91, 2018
92018
Change-point Detection and Kernel Methods
D Garreau
PSL Research University; ENS Paris-Ecole Normale Supérieure de Paris, 2017
52017
What does LIME really see in images?
D Garreau, D Mardaoui
arXiv preprint arXiv:2102.06307, 2021
22021
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
S Bartels, W Boomsma, J Frellsen, D Garreau
arXiv preprint arXiv:2107.10587, 2021
2021
Comparison-based centrality measures
L Rendsburg, D Garreau
International Journal of Data Science and Analytics 11 (3), 243-259, 2021
2021
Détection de ruptures multiples à noyaux
D Garreau, S Arlot
48èmes Journées de Statistique de la SFdS Montpellier, 2016
2016
Supplementary material for the article: Comparison-Based Random Forests
S Haghiri, D Garreau, U von Luxburg
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Articles 1–16