Scientific contributions

Papers

• Regularised optimal self-transport is approximate Gaussian mixture maximum likelihood - ArXiv - 2023 

• Empirical Optimal  Transport under Estimated Costs: Distributional Limits and Statistical Applications - ArXiv  - 2023 

• Quadratically Regularized Optimal Transport: nearly optimal potentials and convergence of discrete Laplace operators (with S. Zhang) - PDF - 2022

• Center-Outward Multiple-Output Lorenz Curves and Gini Indices a measure transportation approach (with M. Hallin) - ArXiv - 2022  

• Extrema of multinomial assignment process (with M. Lifshits) - ArXiv - 2022 - Published in Journal of Applied Probability.

• Statistical analysis of random objects via metric measure Laplacians (with A. Munk) - ArXiv - 2023 - Published in SIMODS.

• About limiting spectral distributions of block-rescaled empirical covariance matrices - ArXiv - 2022  

• On the Finite-Sample Performance of Measure Transportation-Based Multivariate Rank Tests (with M. Hallin) -ArXiv - 2022 - Accepted in the Feschrift for David Tyler

• Measuring dependence between random vectors via optimal transport (with J. Segers) - ArXiv - 2022- Published in JMVA

• Effects of Orthogeriatric care Models on Outcomes of Hip Fracture Patients : A Sytematic Review and Meta-Analysis (with A. Van Heghe, J. Dupont, M. Dejaeger, M.R. Laurent and E.Gielen) - 2021- Published in Calcified Tissue International

• Multivariate Goodness-of-Fit tests based on Wasserstein distance (with M. Hallin and J. Segers) - 2021- Published in Electronic Journal of Statistics - ArXiv

• Maxima and near-maxima of a Gaussian random assignment field (with J. Segers) - ArXiv - 2021- Published in Statistics and Probability Letters

• Second order optimisation methods for large-scale semi-discrete regularised optimal transport - Technical Report - PDF - 2020

• About Sudakov--Fernique inequality - Short note with new interpretation of known results  - PDF - 2020

• Distribution comparison tests based on space filling curves (with C. Heuchenne) - 2022 - Journal of Computational and Applied Mathematics

Talks

• Limiting distribution results for EOT - Munk's Oberseminar - November 2024 - Göttingen

• Manifold learning with sparse optimal transport - ICSDS - December 2023 - Lisbon

• Manifold learning with sparse optimal transport - November 2023 - Oberwolfach

• Manifold learning with sparse optimal transport - Yale University - September 2023 - New Haven

• Manifold learning with sparse optimal transport - A. Munk's Oberseminar - June 2023 - Göttingen

• Dynamics of Cytoskeletal Networks: From Geometric Structure to Cell Mechanics – SFB Meeting – August 2022 -  Goslar

• Statistical analysis of random objects via metric measure Laplacians - SFB Working Group 4 meeting - May 2022 - Göttingen

• OT-based multivariate ranks - A. Munk's Oberseminar - January 2022 - Göttingen

• Measuring dependence between random vectors via optimal transport- December 2021- KULeuven  (invited)

• Transporting probability measures - August 2021 - PhD defense - UCLouvain

• Deux applications de la distance de Wasserstein à la statistique (Two applications of the Wasserstein distance to statistics) -December 2020 - Quatrième rencontre Poitiers-Bordeaux (invited)

• Wasserstein-based dependence measures -December 2020- Brown Bag Statistics Seminar-UCLouvain

• Multivariate Goodness-of-Fit tests based on Wasserstein distance - Bernoulli-IMS One World Symposium - August 2020 -Video 

• Multivariate Goodness-of-Fit tests based on Wasserstein distance - October 2019 - 27th Annual meeting of the  Royal Statistical Society of Belgium

• Distribution comparison tests based on self-similar transport of measure - October 2018 - 26th Annual meeting of the  Royal Statistical Society of Belgium

• Distribution comparison tests based on self-similar transport of measure- September  2018- Young Researcher's day (internal seminar) - UCLouvain