Pierre Humbert

22 papers A* 4Misc 3Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
On Volume Minimization in Conformal Regression.
ICML
Batiste Le Bars, Pierre Humbert
2025 J jnl
On Volume Minimization in Conformal Regression.
CoRR
Batiste Le Bars, Pierre Humbert
2025 J jnl
Transductive Conformal Inference for Ranking.
CoRR
Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
2024 J jnl
Learning Network Granger causality using Graph Prior Knowledge.
Trans. Mach. Learn. Res.
Lucas Zoroddu, Pierre Humbert, Laurent Oudre
2024 — conf
Using Graph Prior to Learn Network Granger Causality.
EUSIPCO
Lucas Zoroddu, Pierre Humbert, Laurent Oudre
2023 A* conf
One-Shot Federated Conformal Prediction.
ICML
Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot
2022 A* conf
Robust Kernel Density Estimation with Median-of-Means principle.
ICML
Pierre Humbert, Batiste Le Bars, Ludovic Minvielle
2022 J jnl
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations.
IEEE Trans. Signal Process.
Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren
2021 Misc conf
Adaptive Subsampling of Multidomain Signals with Product Graphs.
ICASSP
Théo Gnassounou, Pierre Humbert, Laurent Oudre
2021 J jnl
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.
J. Mach. Learn. Res.
Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis
2021 — conf
Learning spatial filters from EEG signals with Graph Signal Processing methods.
EMBC
Pierre Humbert, Laurent Oudre, Clément Dubost
2021 — —
Multivariate analysis with tensors and graphs - application to neuroscience. (Tenseurs et graphes pour l'analyse multivariée - application aux neurosciences).
Pierre Humbert
2020 J jnl
Apprenticeship Learning for a Predictive State Representation of Anesthesia.
IEEE Trans. Biomed. Eng.
Pierre Humbert, Clément Dubost, Julien Audiffren, Laurent Oudre
2020 A* conf
Learning the piece-wise constant graph structure of a varying Ising model.
ICML
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
2020 Misc conf
Low Rank Activations for Tensor-Based Convolutional Sparse Coding.
ICASSP
Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis
2020 J jnl
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis.
CoRR
Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren
2019 J jnl
Detecting multiple change-points in the time-varying Ising model.
CoRR
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
2019 Misc conf
Learning Laplacian Matrix from Bandlimited Graph Signals.
ICASSP
Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos
2019 J jnl
Multivariate Convolutional Sparse Coding with Low Rank Tensor.
CoRR
Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis
2019 J jnl
Selection of the Best Electroencephalogram Channel to Predict the Depth of Anesthesia.
Frontiers Comput. Neurosci.
Clément Dubost, Pierre Humbert, Arno Benizri, Jean-Pierre Tourtier, Nicolas Vayatis, Pierre-Paul Vidal
2019 — conf
Subsampling of Multivariate Time-Vertex Graph Signals.
EUSIPCO
Pierre Humbert, Laurent Oudre, Nicolas Vayatis
2010 J jnl
Usages et conception des TIC : Proposition d'un modèle d'aide à la représentation de problème de conception
CoRR
Pierre Humbert