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2020 – today
- 2024
[j2]Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi:
Optimal Estimation of Smooth Transport Maps with Kernel SoS. SIAM J. Math. Data Sci. 6(2): 311-342 (2024)- 2023
- [j1]Boris Muzellec
, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux:
PyDESeq2: a python package for bulk RNA-seq differential expression analysis. Bioinform. 39(9) (2023) - 2022
- [c10]Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki:
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. COLT 2022: 1356-1420 - [c9]Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux:
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. NeurIPS 2022 - [c8]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 - [i11]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) - [i10]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
- [c7]Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, François-Xavier Vialard:
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation. COLT 2021: 4143-4173 - [i9]Boris Muzellec, Francis R. Bach, Alessandro Rudi:
A Note on Optimizing Distributions using Kernel Mean Embeddings. CoRR abs/2106.09994 (2021) - [i8]Boris Muzellec, Francis R. Bach, Alessandro Rudi:
Learning PSD-valued functions using kernel sums-of-squares. CoRR abs/2111.11306 (2021) - [i7]Boris Muzellec, Adrien Vacher, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi:
Near-optimal estimation of smooth transport maps with kernel sums-of-squares. CoRR abs/2112.01907 (2021) - 2020
- [c6]Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi:
Missing Data Imputation using Optimal Transport. ICML 2020: 7130-7140 - [c5]Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi:
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form. NeurIPS 2020 - [i6]Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi:
Missing Data Imputation using Optimal Transport. CoRR abs/2002.03860 (2020) - [i5]Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki:
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. CoRR abs/2003.00306 (2020)
2010 – 2019
- 2019
- [c4]Boris Muzellec, Marco Cuturi:
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. NeurIPS 2019: 6914-6925 - [i4]Boris Muzellec, Marco Cuturi:
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. CoRR abs/1905.10099 (2019) - 2018
- [c3]Boris Muzellec, Marco Cuturi:
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. NeurIPS 2018: 10258-10269 - [i3]Boris Muzellec, Marco Cuturi:
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. CoRR abs/1805.07594 (2018) - 2017
- [c2]Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. AAAI 2017: 2387-2393 - 2016
- [c1]Frank Nielsen, Boris Muzellec, Richard Nock:
Classification with mixtures of curved mahalanobis metrics. ICIP 2016: 241-245 - [i2]Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. CoRR abs/1609.04495 (2016) - [i1]Frank Nielsen, Boris Muzellec, Richard Nock:
Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances. CoRR abs/1609.07082 (2016)
Coauthor Index
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