| 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 | 33 | 2019 |
| 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 | 25 | 2021 |
| Robust kernel density estimation with median-of-means principle P Humbert, B Le Bars, L Minvielle International Conference on Machine Learning, 9444-9465, 2022 | 23 | 2022 |
| One-shot federated conformal prediction P Humbert, B Le Bars, A Bellet, S Arlot International Conference on Machine Learning, 14153-14177, 2023 | 19 | 2023 |
| 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 | 14 | 2019 |
| 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 | 9 | 2020 |
| 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 | 7 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2019 |
| Subsampling of multivariate time-vertex graph signals P Humbert, L Oudre, N Vayatis 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 3 | 2019 |
| Learning from an expert P Humbert, J Audiffren, C Dubost, L Oudre Porceedings of 30th Conference on Neural Information Processing Systems …, 2016 | 3 | 2016 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
| On volume minimization in conformal regression B Le Bars, P Humbert | 1 | 2025 |
| Learning network Granger causality using graph prior knowledge L Zoroddu, P Humbert, L Oudre Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Transductive conformal inference for ranking JB Fermanian, P Humbert, G Blanchard | | 2025 |
| Using graph prior to learn network Granger causality L Zoroddu, P Humbert, L Oudre 2024 32nd European Signal Processing Conference (EUSIPCO), 2307-2311, 2024 | | 2024 |
Laurent OudreFull Professor, Centre Borelli, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
