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Pierre Humbert
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2020 – today
- 2024
- [j5]Lucas Zoroddu, Pierre Humbert, Laurent Oudre:
Learning Network Granger causality using Graph Prior Knowledge. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [c8]Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot:
One-Shot Federated Conformal Prediction. ICML 2023: 14153-14177 - 2022
- [j4]Pierre Humbert
, Laurent Oudre
, Nicolas Vayatis, Julien Audiffren
:
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations. IEEE Trans. Signal Process. 70: 785-796 (2022) - [c7]Pierre Humbert, Batiste Le Bars, Ludovic Minvielle:
Robust Kernel Density Estimation with Median-of-Means principle. ICML 2022: 9444-9465 - 2021
- [b1]Pierre Humbert:
Multivariate analysis with tensors and graphs - application to neuroscience. (Tenseurs et graphes pour l'analyse multivariée - application aux neurosciences). University of Paris-Saclay, France, 2021 - [j3]Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis:
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. J. Mach. Learn. Res. 22: 195:1-195:47 (2021) - [c6]Pierre Humbert, Laurent Oudre
, Clément Dubost:
Learning spatial filters from EEG signals with Graph Signal Processing methods. EMBC 2021: 657-660 - [c5]Théo Gnassounou, Pierre Humbert, Laurent Oudre
:
Adaptive Subsampling of Multidomain Signals with Product Graphs. ICASSP 2021: 5295-5299 - 2020
- [j2]Pierre Humbert
, Clément Dubost, Julien Audiffren
, Laurent Oudre
:
Apprenticeship Learning for a Predictive State Representation of Anesthesia. IEEE Trans. Biomed. Eng. 67(7): 2052-2063 (2020) - [c4]Pierre Humbert, Julien Audiffren
, Laurent Oudre
, Nicolas Vayatis:
Low Rank Activations for Tensor-Based Convolutional Sparse Coding. ICASSP 2020: 3252-3256 - [c3]Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Learning the piece-wise constant graph structure of a varying Ising model. ICML 2020: 675-684 - [i4]Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren:
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis. CoRR abs/2007.02534 (2020)
2010 – 2019
- 2019
- [j1]Clément Dubost, Pierre Humbert, Arno Benizri, Jean-Pierre Tourtier, Nicolas Vayatis, Pierre-Paul Vidal:
Selection of the Best Electroencephalogram Channel to Predict the Depth of Anesthesia. Frontiers Comput. Neurosci. 13: 65 (2019) - [c2]Pierre Humbert, Laurent Oudre
, Nicolas Vayatis:
Subsampling of Multivariate Time-Vertex Graph Signals. EUSIPCO 2019: 1-5 - [c1]Batiste Le Bars, Pierre Humbert, Laurent Oudre
, Argyris Kalogeratos:
Learning Laplacian Matrix from Bandlimited Graph Signals. ICASSP 2019: 2937-2941 - [i3]Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis:
Multivariate Convolutional Sparse Coding with Low Rank Tensor. CoRR abs/1908.03367 (2019) - [i2]Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Detecting multiple change-points in the time-varying Ising model. CoRR abs/1910.08512 (2019) - 2010
- [i1]Pierre Humbert:
Usages et conception des TIC : Proposition d'un modèle d'aide à la représentation de problème de conception. CoRR abs/1002.0154 (2010)
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last updated on 2024-08-10 00:32 CEST by the dblp team
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