Mathieu Andreux

According to our database, Mathieu Andreux authored at least 12 papers between 2014 and 2023.

Collaborative distances:

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

2023

PyDESeq2: a python package for bulk RNA-seq differential expression analysis.

Boris Muzellec, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux

Bioinform., September, 2023

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

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, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning.

Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Differentially Private Federated Learning for Cancer Prediction.

Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel

CoRR, 2021

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, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg

J. Mach. Learn. Res., 2020

Federated Survival Analysis with Discrete-Time Cox Models.

Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard, Chloé Simpson

CoRR, 2020

Siloed Federated Learning for Multi-centric Histopathology Datasets.

Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2018

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

Mathieu Andreux

PhD thesis, 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, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg

CoRR, 2018

Music Generation and Transformation with Moment Matching-Scattering Inverse Networks.

Mathieu Andreux, Stéphane Mallat

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2014

Anisotropic Laplace-Beltrami Operators for Shape Analysis.

Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014