Boris Muzellec

According to our database, Boris Muzellec authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Optimal Estimation of Smooth Transport Maps with Kernel SoS.

Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi

SIAM J. Math. Data Sci., 2024

2023

PyDESeq2: a python package for bulk RNA-seq differential expression analysis.

Boris Muzellec, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux

Bioinform., September, 2023

2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning.

Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dimension-free convergence rates for gradient Langevin dynamics in RKHS.

Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Near-optimal estimation of smooth transport maps with kernel sums-of-squares.

Boris Muzellec, Adrien Vacher, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi

CoRR, 2021

Learning PSD-valued functions using kernel sums-of-squares.

Boris Muzellec, Francis R. Bach, Alessandro Rudi

CoRR, 2021

A Note on Optimizing Distributions using Kernel Mean Embeddings.

Boris Muzellec, Francis R. Bach, Alessandro Rudi

CoRR, 2021

A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation.

Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, François-Xavier Vialard

Proceedings of the Conference on Learning Theory, 2021

2020

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form.

Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Missing Data Imputation using Optimal Transport.

Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections.

Boris Muzellec, Marco Cuturi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions.

Boris Muzellec, Marco Cuturi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Tsallis Regularized Optimal Transport and Ecological Inference.

Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances.

Frank Nielsen, Boris Muzellec, Richard Nock

CoRR, 2016

Classification with mixtures of curved mahalanobis metrics.

Frank Nielsen, Boris Muzellec, Richard Nock

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016