- Optimal Transport Workshop, Cargese,
April 2024

[slides] - Workshop on Optimal Transport: Theory and Applications, Berlin,
March 2024

[slides] - Séminaire Palaisien, Palaiseau,
February 2024

[slides] - Journée Sigma-Mode, Paris,
January 2024

[slides] - Yes workshop, Eurandom, TU Eindhoven,
September 2022

[slides] - ICML tutorial, Baltimore,
July 2022

[slides][video] - Ellis Machine Learning Theory workshop, Genova,
June 2022

[slides] - Inria Thoth team seminar, Grenoble,
June 2022

[slides] - Synergies between Data Science and PDE Analysis, Hausdorff Center for Mathematics, Bonn,
June 2022

[slides] - Laplace's demon seminar, Criteo, Paris,
June 2022

[slides] - MSR New England Machine Learning Seminar, online,
June 2022

[slides] - Applied Optimal Transport workshop, Institute for Mathematical and Statistical Innovation (IMSI), Chicago,
May 2022

[slides] - I Can't Believe It's Not Better (ICBINB) seminar series, online,
May 2022

[slides][video] - Frontiers in kinetic equations for plasmas and collective behaviour, Isaac Newton Institute, Cambridge,
April 2022

[slides] - JSTAR, ENSAI, Rennes
April 2022

[slides] - Optimal Transport seminar, Orsay,
March 2022

[slides] - Quantization, Location, Sampling and Matching Workshop, Lagrange Mathematics and Computation Research Center, Paris,
March 2022

[slides] - Kantorovitch Initiative, Online,
March 2022

[slides][video] - Interaction Mechanisms in Monte Carlo, Heilbronn Institute for Mathematical Research, Bristol,
December 2021

[slides] - New Bridges between Mathematics and Data Science, Online,
November 2021

[slides][video] - One world Theoretical Machine Learning seminar , online,
October 2021

[slides][video] - Sampling Algorithms and Geometries on Probability Distributions workshop , Simons institute, Berkeley,
September 2021

[slides][video] [slides] - Entropic Regularization of Optimal Transport and Applications, Banff International Research Station (online), June 2021

[slides][video] - School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh (online),
March 2021

[slides][video] - Séminaire Parisien d'Optimisation, Institut Henri Poincaré, Paris,
October 2020

[slides] - Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Toronto (online)
September 2020

- Maximum Mean Discrepancy Gradient flow (Neurips 2019) [slides] [video]
- Wasserstein Gradient Flows for Machine Learning. Joint talk with Adil Salim about our recent line of work. [slides][video ]

- Séminaire de Statistique, CREST-CMAP, Palaiseau,
September 2020

[slides] - Statistics seminar, Laboratoire de Probabilités, Statistique et Modélisation (LPSM), Paris,
March 2020