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Mathieu Andreux
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2020 – today
- 2023
- [j2]Boris Muzellec
, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux:
PyDESeq2: a python package for bulk RNA-seq differential expression analysis. Bioinform. 39(9) (2023) - [i7]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 abs/2311.16984 (2023) - 2022
- [c5]Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux:
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. NeurIPS 2022 - [c4]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 - [i6]Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux:
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. CoRR abs/2210.01639 (2022) - [i5]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. CoRR abs/2210.04620 (2022) - 2021
- [i4]Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux
Differentially Private Federated Learning for Cancer Prediction. CoRR abs/2101.02997 (2021) - 2020
- [j1]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: 60:1-60:6 (2020) - [c3]Mathieu Andreux
Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI 2020: 129-139 - [i3]Mathieu Andreux
Federated Survival Analysis with Discrete-Time Cox Models. CoRR abs/2006.08997 (2020) - [i2]Mathieu Andreux
Siloed Federated Learning for Multi-Centric Histopathology Datasets. CoRR abs/2008.07424 (2020)
2010 – 2019
- 2018
- [b1]Mathieu Andreux:
Foveal autoregressive neural time-series modeling. (Modélisation fovéale, autorégressive et neuronale de séries temporelles). PSL Research University, Paris, France, 2018 - [c2]Mathieu Andreux, Stéphane Mallat:
Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. ISMIR 2018: 327-333 - [i1]Mathieu Andreux
Kymatio: Scattering Transforms in Python. CoRR abs/1812.11214 (2018) - 2014
- [c1]Mathieu Andreux
Anisotropic Laplace-Beltrami Operators for Shape Analysis. ECCV Workshops (4) 2014: 299-312
Coauthor Index
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