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Pierre Humbert
Pierre Humbert
Université Paris-Saclay
Verified email at universite-paris-saclay.fr - Homepage
Title
Cited by
Cited by
Year
Learning Laplacian matrix from bandlimited graph signals
B Le Bars, P Humbert, L Oudre, A Kalogeratos
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
302019
Learning Laplacian matrix from graph signals with sparse spectral representation
P Humbert, B Le Bars, L Oudre, A Kalogeratos, N Vayatis
Journal of Machine Learning Research 22 (195), 1-47, 2021
192021
Robust kernel density estimation with median-of-means principle
P Humbert, B Le Bars, L Minvielle
International Conference on Machine Learning, 9444-9465, 2022
172022
One-shot federated conformal prediction
P Humbert, B Le Bars, A Bellet, S Arlot
International Conference on Machine Learning, 14153-14177, 2023
82023
Learning the piece-wise constant graph structure of a varying ising model
B Le Bars, P Humbert, A Kalogeratos, N Vayatis
International Conference on Machine Learning, 675-684, 2020
82020
Selection of the best electroencephalogram channel to predict the depth of anesthesia
C Dubost, P Humbert, A Benizri, JP Tourtier, N Vayatis, PP Vidal
Frontiers in Computational Neuroscience 13, 65, 2019
82019
Quantitative assessment of consciousness during anesthesia without EEG data
C Dubost, P Humbert, L Oudre, C Labourdette, N Vayatis, PP Vidal
Journal of Clinical Monitoring and Computing 35, 993-1005, 2021
42021
Adaptive subsampling of multidomain signals with product graphs
T Gnassounou, P Humbert, L Oudre
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
Tensor convolutional dictionary learning with cp low-rank activations
P Humbert, L Oudre, N Vayatis, J Audiffren
IEEE Transactions on Signal Processing 70, 785-796, 2021
32021
Apprenticeship learning for a predictive state representation of anesthesia
P Humbert, C Dubost, J Audiffren, L Oudre
IEEE Transactions on Biomedical Engineering 67 (7), 2052-2063, 2019
32019
Subsampling of multivariate time-vertex graph signals
P Humbert, L Oudre, N Vayatis
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
32019
Learning from an expert
P Humbert, J Audiffren, C Dubost, L Oudre
Porceedings of 30th Conference on Neural Information Processing Systems …, 2016
32016
Low rank activations for tensor-based convolutional sparse coding
P Humbert, J Audiffren, L Oudre, N Vayatis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
Learning spatial filters from EEG signals with Graph Signal Processing methods
P Humbert, L Oudre, C Dubost
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
Marginal and training-conditional guarantees in one-shot federated conformal prediction
P Humbert, B Le Bars, A Bellet, S Arlot
arXiv preprint arXiv:2405.12567, 2024
2024
Using graph prior to learn network Granger causality
L Zoroddu, P Humbert, L Oudre
Learning Network Granger causality using Graph Prior Knowledge
L Zoroddu, P Humbert, L Oudre
Transactions on Machine Learning Research, 0
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Articles 1–17