| 2026 | ICPR | Recursive Prototyping for Computational Behavioral Analysis from Egocentric Videos. | Sam Perochon, Laurent Oudre |
| 2025 | AISTATS | Personalized Convolutional Dictionary Learning of Physiological Time Series. | Axel Roques, Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Laurent Oudre |
| 2025 | ICASSP | Convolutional Sparse Coding with Multipath Orthogonal Matching Pursuit. | Yanis Gomes, Charles Truong, Jean-Philippe Saut, Fikri Hafid, Pascale Prieur, Laurent Oudre |
| 2025 | ICASSP | Covariance Change Point Detection for Graph Signals. | Even Matencio, Charles Truong, Laurent Oudre |
| 2025 | ICML | Time Series Representations with Hard-Coded Invariances. | Thibaut Germain, Chrysoula Kosma, Laurent Oudre |
| 2024 | ICASSP | Graph Local-Smooth Dictionary Learning. | Quentin Laborde, Antoine Mazarguil, Laurent Oudre |
| 2024 | ICDE | dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. | Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre |
| 2024 | ICDE | Linear-trend normalization for multivariate subsequence similarity search. | Thibaut Germain, Charles Truong, Laurent Oudre |
| 2023 | ICASSP | Unsupervised Action Segmentation of Untrimmed Egocentric Videos. | Sam Perochon, Laurent Oudre |
| 2023 | ICDM | An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. | Sylvain W. Combettes, Charles Truong, Laurent Oudre |
| 2021 | ICASSP | Adaptive Subsampling of Multidomain Signals with Product Graphs. | Tho Gnassounou, Pierre Humbert, Laurent Oudre |
| 2020 | ICASSP | Low Rank Activations for Tensor-Based Convolutional Sparse Coding. | Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis |
| 2019 | ICASSP | Learning Laplacian Matrix from Bandlimited Graph Signals. | Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos |
| 2019 | ICASSP | Supervised Kernel Change Point Detection with Partial Annotations. | Charles Truong, Laurent Oudre, Nicolas Vayatis |
| 2018 | ICML | DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. | Thomas Moreau, Laurent Oudre, Nicolas Vayatis |
| 2010 | MMSP | Probabilistic framework for template-based chord recognition. | Laurent Oudre, Cdric Fvotte, Yves Grenier |