Classification with mixtures of curved mahalanobis metrics. - Frank Nielsen; Boris Muzellec; Richard Nock (ICIP, 2016)

Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances. - Frank Nielsen; Boris Muzellec; Richard Nock (CoRR, 2016)

Tsallis Regularized Optimal Transport and Ecological Inference. - Boris Muzellec; Richard Nock; Giorgio Patrini; Frank Nielsen (AAAI, 2017)

Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. - Boris Muzellec; Marco Cuturi (NeurIPS, 2018)

Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. - Boris Muzellec; Marco Cuturi (NeurIPS, 2019)

Missing Data Imputation using Optimal Transport. - Boris Muzellec; Julie Josse; Claire Boyer; Marco Cuturi (ICML, 2020)

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form. - Hicham Janati; Boris Muzellec; Gabriel Peyré; Marco Cuturi (NeurIPS, 2020)

A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation. - Adrien Vacher; Boris Muzellec; Alessandro Rudi; Francis R. Bach; François-Xavier Vialard (COLT, 2021)

A Note on Optimizing Distributions using Kernel Mean Embeddings. - Boris Muzellec; Francis R. Bach; Alessandro Rudi (CoRR, 2021)

Learning PSD-valued functions using kernel sums-of-squares. - Boris Muzellec; Francis R. Bach; Alessandro Rudi (CoRR, 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)

Dimension-free convergence rates for gradient Langevin dynamics in RKHS. - Boris Muzellec; Kanji Sato; Mathurin Massias; Taiji Suzuki (COLT, 2022)

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. - Tanguy Marchand; Boris Muzellec; Constance Beguier; Jean Ogier du Terrail; Mathieu Andreux (NeurIPS, 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 001; Regis Loeb; Paul Mangold; Tanguy Marchand; Othmane Marfoq; Erum Mushtaq; Boris Muzellec; Constantin Philippenko; et al. (NeurIPS, 2022)

PyDESeq2: a python package for bulk RNA-seq differential expression analysis. - Boris Muzellec; Maria Telenczuk; Vincent Cabeli; Mathieu Andreux (Bioinform., 2023)

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)