Pierre Humbert

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 16

Top Topics

Graph Structure

Top Venues

J. Mach. Learn. Res.

Publications

Lucas Zoroddu, Pierre Humbert, Laurent Oudre
Learning Network Granger causality using Graph Prior Knowledge. Trans. Mach. Learn. Res. 2024 (2024)
Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot
One-Shot Federated Conformal Prediction. ICML (2023)
Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations. IEEE Trans. Signal Process. 70 (2022)
Pierre Humbert, Batiste Le Bars, Ludovic Minvielle
Robust Kernel Density Estimation with Median-of-Means principle. ICML (2022)
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 (2021)
Pierre Humbert, Laurent Oudre, Clément Dubost
Learning spatial filters from EEG signals with Graph Signal Processing methods. EMBC (2021)
Théo Gnassounou, Pierre Humbert, Laurent Oudre
Adaptive Subsampling of Multidomain Signals with Product Graphs. ICASSP (2021)
Pierre Humbert, Clément Dubost, Julien Audiffren, Laurent Oudre
Apprenticeship Learning for a Predictive State Representation of Anesthesia. IEEE Trans. Biomed. Eng. 67 (7) (2020)
Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis
Low Rank Activations for Tensor-Based Convolutional Sparse Coding. ICASSP (2020)
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
Learning the piece-wise constant graph structure of a varying Ising model. ICML (2020)
Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis. CoRR (2020)
Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos
Learning Laplacian Matrix from Bandlimited Graph Signals. ICASSP (2019)
Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis
Multivariate Convolutional Sparse Coding with Low Rank Tensor. CoRR (2019)
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 (2019)
Pierre Humbert, Laurent Oudre, Nicolas Vayatis
Subsampling of Multivariate Time-Vertex Graph Signals. EUSIPCO (2019)
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
Detecting multiple change-points in the time-varying Ising model. CoRR (2019)
Pierre Humbert
Usages et conception des TIC : Proposition d'un modèle d'aide à la représentation de problème de conception CoRR (2010)