| Ambiguity-free completion of the equations of motion of compact binary systems at the fourth post-Newtonian order T Marchand, L Bernard, L Blanchet, G Faye Physical Review D 97 (4), 044023, 2018 | 124 | 2018 |
| Center-of-mass equations of motion and conserved integrals of compact binary systems at the fourth post-Newtonian order L Bernard, L Blanchet, G Faye, T Marchand Physical Review D 97 (4), 044037, 2018 | 98 | 2018 |
| New interpretable statistics for large-scale structure analysis and generation E Allys, T Marchand, JF Cardoso, F Villaescusa-Navarro, S Ho, S Mallat Physical Review D 102 (10), 103506, 2020 | 79 | 2020 |
| Gravitational-wave tail effects to quartic non-linear order T Marchand, L Blanchet, G Faye Classical and Quantum Gravity 33 (24), 244003, 2016 | 67 | 2016 |
| FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings J Ogier du Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, ... Advances in Neural Information Processing Systems 35, 5315-5334, 2022 | 66 | 2022 |
| The mass quadrupole moment of compact binary systems at the fourth post-Newtonian order T Marchand, Q Henry, F Larrouturou, S Marsat, G Faye, L Blanchet Classical and Quantum Gravity 37 (21), 215006, 2020 | 52 | 2020 |
| Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers C Saillard, O Dehaene, T Marchand, O Moindrot, A Kamoun, B Schmauch, ... arXiv preprint arXiv:2109.05819, 2021 | 36 | 2021 |
| Wavelet Conditional Renormalization Group T Marchand, M Ozawa, G Biroli, S Mallat arXiv preprint arXiv:2207.04941, 2022 | 10 | 2022 |
| SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning T Marchand, B Muzellec, C Beguier, J Ogier du Terrail, M Andreux Advances in Neural Information Processing Systems 35, 36585-36598, 2022 | 5 | 2022 |
| Multiscale Data-Driven Energy Estimation and Generation T Marchand, M Ozawa, G Biroli, S Mallat Physical Review X 13 (4), 041038, 2023 | 1 | 2023 |
| SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning T Marchand, R Loeb, U Marteau-Ferey, JO Terrail, A Pignet arXiv preprint arXiv:2306.07644, 2023 | 1 | 2023 |
| 1955P Distinguishing lipomas from atypical lipomatous tumors/well differentiated liposarcomas in histology slides using deep learning M Karanian, A Camara, J Klein, T Marchand, C Maussion, V Rousseau, ... Annals of Oncology 34, S1047, 2023 | | 2023 |
| FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings JO Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, P Mangold, ... arXiv preprint arXiv:2210.04620, 2022 | | 2022 |
| Studying gravitational waves of compact binary systems using post-Newtonian theory T Marchand Sorbonne université, 2018 | | 2018 |
| 4.5 Post-Newtonian order gravitational radiation T Marchand 52nd Rencontres de Moriond on Gravitation, 259-262, 2017 | | 2017 |
