Oudre, Laurent

9 publications

AISTATS 2025 Personalized Convolutional Dictionary Learning of Physiological Time Series Axel Roques, Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Laurent Oudre

ICML 2025 Time Series Representations with Hard-Coded Invariances Thibaut Germain, Chrysoula Kosma, Laurent Oudre

TMLR 2024 A Persistent Homology-Based Algorithm for Unsupervised Anomaly Detection in Time Series Alexandre Bois, Brian Tervil, Laurent Oudre

ECML-PKDD 2024 Interactive Motif Discovery in Time Series with Persistent Homology Thibaut Germain, Charles Truong, Laurent Oudre

TMLR 2024 Learning Network Granger Causality Using Graph Prior Knowledge Lucas Zoroddu, Pierre Humbert, Laurent Oudre

NeurIPS 2024 Shape Analysis for Time Series Thibaut Germain, Samuel Gruffaz, Charles Truong, Laurent Oudre, Alain Durmus

NeurIPSW 2022 Supervised Change-Point Detection with Dimension Reduction, Applied to Physiological Signals Charles Truong, Laurent Oudre

JMLR 2021 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

ICML 2018 DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding Thomas Moreau, Laurent Oudre, Nicolas Vayatis