Mathieu Andreux

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 13

Top Topics

Scripting Language

Learning Problems

Inductive Inference

Top Venues

ECCV Workshops (4)

Publications

Boris Muzellec, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux
PyDESeq2: a python package for bulk RNA-seq differential expression analysis. Bioinform. 39 (9) (2023)
Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. CoRR (2023)
Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. NeurIPS (2022)
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 S. Silva R., Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR (2022)
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
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS (2022)
Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. CoRR (2022)
Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel
Differentially Private Federated Learning for Cancer Prediction. CoRR (2021)
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI (2020)
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
Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 21 (2020)
Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard, Chloé Simpson
Federated Survival Analysis with Discrete-Time Cox Models. CoRR (2020)
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel
Siloed Federated Learning for Multi-Centric Histopathology Datasets. CoRR (2020)
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
Kymatio: Scattering Transforms in Python. CoRR (2018)
Mathieu Andreux, Stéphane Mallat
Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. ISMIR (2018)
Mathieu Andreux, Emanuele Rodolà, Mathieu Aubry, Daniel Cremers
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) (2014)