Boris Muzellec

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Subspace Projections

Grassmann Manifold

Missing Data Imputation

Top Venues

Publications

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) (2024)
Boris Muzellec, Maria Telenczuk, Vincent Cabeli, Mathieu Andreux
PyDESeq2: a python package for bulk RNA-seq differential expression analysis. Bioinform. 39 (9) (2023)
Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. NeurIPS (2022)
Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. COLT (2022)
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 S. Silva R., 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 (2022)
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)
Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. CoRR (2022)
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 (2021)
Boris Muzellec, Francis R. Bach, Alessandro Rudi
A Note on Optimizing Distributions using Kernel Mean Embeddings. CoRR (2021)
Boris Muzellec, Francis R. Bach, Alessandro Rudi
Learning PSD-valued functions using kernel sums-of-squares. CoRR (2021)
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)
Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form. NeurIPS (2020)
Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
Missing Data Imputation using Optimal Transport. ICML (2020)
Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi
Missing Data Imputation using Optimal Transport. CoRR (2020)
Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. CoRR (2020)
Boris Muzellec, Marco Cuturi
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. CoRR (2019)
Boris Muzellec, Marco Cuturi
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections. NeurIPS (2019)
Boris Muzellec, Marco Cuturi
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. CoRR (2018)
Boris Muzellec, Marco Cuturi
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions. NeurIPS (2018)
Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen
Tsallis Regularized Optimal Transport and Ecological Inference. AAAI (2017)
Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen
Tsallis Regularized Optimal Transport and Ecological Inference. CoRR (2016)
Frank Nielsen, Boris Muzellec, Richard Nock
Classification with mixtures of curved mahalanobis metrics. ICIP (2016)
Frank Nielsen, Boris Muzellec, Richard Nock
Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances. CoRR (2016)