Pierre Humbert

According to our database, Pierre Humbert authored at least 19 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Network Granger causality using Graph Prior Knowledge.

Lucas Zoroddu, Pierre Humbert, Laurent Oudre

Trans. Mach. Learn. Res., 2024

Using Graph Prior to Learn Network Granger Causality.

Lucas Zoroddu, Pierre Humbert, Laurent Oudre

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

One-Shot Federated Conformal Prediction.

Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot

Proceedings of the International Conference on Machine Learning, 2023

2022

Tensor Convolutional Dictionary Learning With CP Low-Rank Activations.

Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren

IEEE Trans. Signal Process., 2022

Robust Kernel Density Estimation with Median-of-Means principle.

Pierre Humbert, Batiste Le Bars, Ludovic Minvielle

Proceedings of the International Conference on Machine Learning, 2022

2021

Multivariate analysis with tensors and graphs - application to neuroscience. (Tenseurs et graphes pour l'analyse multivariée - application aux neurosciences).

Pierre Humbert

PhD thesis, 2021

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.

Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

J. Mach. Learn. Res., 2021

Adaptive Subsampling of Multidomain Signals with Product Graphs.

Théo Gnassounou, Pierre Humbert, Laurent Oudre

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning spatial filters from EEG signals with Graph Signal Processing methods.

Pierre Humbert, Laurent Oudre, Clément Dubost

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Apprenticeship Learning for a Predictive State Representation of Anesthesia.

Pierre Humbert, Clément Dubost, Julien Audiffren, Laurent Oudre

IEEE Trans. Biomed. Eng., 2020

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis.

Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren

CoRR, 2020

Learning the piece-wise constant graph structure of a varying Ising model.

Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

Proceedings of the 37th International Conference on Machine Learning, 2020

Low Rank Activations for Tensor-Based Convolutional Sparse Coding.

Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Selection of the Best Electroencephalogram Channel to Predict the Depth of Anesthesia.

Clément Dubost, Pierre Humbert, Arno Benizri, Jean-Pierre Tourtier, Nicolas Vayatis, Pierre-Paul Vidal

Frontiers Comput. Neurosci., 2019

Detecting multiple change-points in the time-varying Ising model.

Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2019

Multivariate Convolutional Sparse Coding with Low Rank Tensor.

Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis

CoRR, 2019

Learning Laplacian Matrix from Bandlimited Graph Signals.

Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos

Proceedings of the IEEE International Conference on Acoustics, 2019

Subsampling of Multivariate Time-Vertex Graph Signals.

Pierre Humbert, Laurent Oudre, Nicolas Vayatis

Proceedings of the 27th European Signal Processing Conference, 2019

2010

Usages et conception des TIC : Proposition d'un modèle d'aide à la représentation de problème de conception

Pierre Humbert

CoRR, 2010