Talks
- Frontiers in Interacting Particle Systems, Aggregation-Diffusion Equations & Collective Behavior, CIRM,
June 2024
[slides]
- PDE Methods in Machine Learning: from Continuum Dynamics to Algorithms, BIRS-IMAG, Granada,
June 2024
[slides]
- Interacting Particle Systems: Analysis, Control, Learning and Computation, ICERM, Providence,
May 2024
[slides]
- 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