Anisotropic Laplace-Beltrami Operators for Shape Analysis. - Mathieu Andreux; Emanuele Rodolà; Mathieu Aubry; Daniel Cremers (ECCV Workshops (4), 2014)

Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. - Mathieu Andreux; Stéphane Mallat (ISMIR, 2018)

Kymatio: Scattering Transforms in Python. - Mathieu Andreux; Tomás Angles; Georgios Exarchakis; Roberto Leonarduzzi; Gaspar Rochette; Louis Thiry; John Zarka; Stéphane Mallat; Joakim Andén; Eugene Belilovsky; Joan Bruna; Vincent Lostanlen; et al. (CoRR, 2018)

Foveal autoregressive neural time-series modeling. (Modélisation fovéale, autorégressive et neuronale de séries temporelles). - Mathieu Andreux (2018)

Siloed Federated Learning for Multi-centric Histopathology Datasets. - Mathieu Andreux; Jean Ogier du Terrail; Constance Beguier; Eric W. Tramel (DART/DCL@MICCAI, 2020)

Federated Survival Analysis with Discrete-Time Cox Models. - Mathieu Andreux; Andre Manoel; Romuald Menuet; Charlie Saillard; Chloé Simpson (CoRR, 2020)

Kymatio: Scattering Transforms in Python. - Mathieu Andreux; Tomás Angles; Georgios Exarchakis; Roberto Leonarduzzi; Gaspar Rochette; Louis Thiry; John Zarka; Stéphane Mallat; Joakim Andén; Eugene Belilovsky; Joan Bruna; Vincent Lostanlen; et al. (J. Mach. Learn. Res., 2020)

Differentially Private Federated Learning for Cancer Prediction. - Constance Beguier; Jean Ogier du Terrail; Iqraa Meah; Mathieu Andreux; Eric W. Tramel (CoRR, 2021)

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. - Tanguy Marchand; Boris Muzellec; Constance Beguier; Jean Ogier du Terrail; Mathieu Andreux (NeurIPS, 2022)

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. - Jean Ogier du Terrail; Samy-Safwan Ayed; Edwige Cyffers; Felix Grimberg; Chaoyang He 001; Regis Loeb; Paul Mangold; Tanguy Marchand; Othmane Marfoq; Erum Mushtaq; Boris Muzellec; Constantin Philippenko; et al. (NeurIPS, 2022)

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. - Jean Ogier du Terrail; Quentin Klopfenstein; Honghao Li; Imke Mayer; Nicolas Loiseau; Mohammad Hallal; Félix Balazard; Mathieu Andreux (CoRR, 2023)

PyDESeq2: a python package for bulk RNA-seq differential expression analysis. - Boris Muzellec; Maria Telenczuk; Vincent Cabeli; Mathieu Andreux (Bioinform., 2023)

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights. - Mathieu Andreux; Breno Baldas Skuk; Hamza Benchekroun; Emilien Biré; Antoine Bonnet; Riaz Bordie; Nathan Bout; Matthias Brunel; Pierre-Louis Cedoz; Antoine Chassang; Mickaël Chen; Alexandra D. Constantinou; et al. (CoRR, 2025)