| Missing data imputation using optimal transport B Muzellec, J Josse, C Boyer, M Cuturi International Conference on Machine Learning, 7130-7140, 2020 | 173 | 2020 |
| 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 | 136 | 2022 |
| PyDESeq2: a python package for bulk RNA-seq differential expression analysis B Muzellec, M Teleńczuk, V Cabeli, M Andreux Bioinformatics 39 (9), btad547, 2023 | 112 | 2023 |
| Generalizing point embeddings using the wasserstein space of elliptical distributions B Muzellec, M Cuturi Advances in Neural Information Processing Systems 31, 2018 | 103 | 2018 |
| Entropic optimal transport between unbalanced gaussian measures has a closed form H Janati, B Muzellec, G Peyré, M Cuturi Advances in neural information processing systems 33, 10468-10479, 2020 | 87 | 2020 |
| Tsallis regularized optimal transport and ecological inference B Muzellec, R Nock, G Patrini, F Nielsen Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 62 | 2017 |
| A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation A Vacher, B Muzellec, A Rudi, F Bach, FX Vialard arXiv preprint arXiv:2101.05380, 2021 | 45 | 2021 |
| Subspace detours: Building transport plans that are optimal on subspace projections B Muzellec, M Cuturi Advances in Neural Information Processing Systems 32, 2019 | 37 | 2019 |
| Near-optimal estimation of smooth transport maps with kernel sums-of-squares B Muzellec, A Vacher, F Bach, FX Vialard, A Rudi arXiv preprint arXiv:2112.01907, 2021 | 23 | 2021 |
| Dimension-free convergence rates for gradient Langevin dynamics in RKHS B Muzellec, K Sato, M Massias, T Suzuki Conference on Learning Theory, 1356-1420, 2022 | 10 | 2022 |
| Learning PSD-valued functions using kernel sums-of-squares B Muzellec, F Bach, A Rudi arXiv preprint arXiv:2111.11306, 2021 | 8 | 2021 |
| 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 | 7 | 2022 |
| Optimal estimation of smooth transport maps with kernel SoS A Vacher, B Muzellec, F Bach, FX Vialard, A Rudi SIAM Journal on Mathematics of Data Science 6 (2), 311-342, 2024 | 5 | 2024 |
| A note on optimizing distributions using kernel mean embeddings B Muzellec, F Bach, A Rudi arXiv preprint arXiv:2106.09994, 2021 | 4 | 2021 |
| Leveraging regularization, projections and elliptical distributions in optimal transport B Muzellec Institut Polytechnique de Paris, 2020 | 1 | 2020 |
| FedPyDESeq2: a federated framework for bulk RNA-seq differential expression analysis B Muzellec, U Marteau-Ferey, T Marchand bioRxiv, 2024.12. 06.627138, 2024 | | 2024 |
Marco CuturiApple / CREST-ENSAE.Verified email at apple.com
