François-Pierre Paty

François-Pierre Paty

PhD Student at ENSAE Paris

About me

I am a PhD student in the statistics department of CREST, at ENSAE Paris (Institut Polytechnique de Paris) in Paris, France, since September 2018. My advisor is Marco Cuturi.
I am one of the organizers of the seminar Stat·Eco·ML.

💡 Interested in hiring me?

I am actively looking for challenging opportunities in machine learning and data science, starting from September 2021. Give a look at my CV/Résumé in English or in French, or to my academic CV. Click here to contact me.

Research interests

My research interest lies at the boundary between optimal transport (OT), statistics and machine learning. My work focuses on designing OT tools that are more robust to the curse of dimensionality, to data corruption or noise, so that OT can be efficiently applied to real data problems.


Upcoming events: Recent events: Older events:


Authors Paper Conference Resources
F-P. Paty
M. Cuturi
Regularized Optimal Transport is Ground Cost Adversarial ICML 2020 [Proceedings][ArXiv] [Slides] [Video]
F-P. Paty
A. d'Aspremont
M. Cuturi
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport AISTATS 2020
(Notable Paper Award)
[Proceedings][ArXiv] [Slides] [Video]
F-P. Paty
M. Cuturi
Subspace Robust Wasserstein Distances ICML 2019
(Top 20%)
[Proceedings] [ArXiv] [Code] [Poster] [Video]

Talks & Tutorials



2020-2021: 2019-2020: 2018-2019: