Mathematical Coffees

You can find bellow the list of Mathematical Coffees. The chairman of these seminar is Gabriel Peyré (CNRS and ENS).

Session 2018

1. Advanced deep learning (Friday January 19th, 14h-16h30)
   • Edouard Oyallon, CentraleSupelec.
   • Gabriel Peyré, CNRS and ENS.
2. Advanced non-smooth optimization (Friday February 16th, 14h-16h30)
   • Jalal Fadili, ENSICaen.
   • Gabriel Peyré, CNRS and ENS.
3. Advanced machine learning (Friday 16 March, 14h-16h30)
   • Alexandre Gramfort, INRIA.
   • Gabriel Peyré, CNRS and ENS.
4. Advanced compressive sensing (Friday April 6th, 14h-16h30)
   • Guillaume Lecué, CNRS and ENSAE.
   • Gabriel Peyré, CNRS and ENS.
5. Deep generative models meet optimal transport (Friday May 4th, 14h30-17h00)
   • Marco Cuturi, ENSAE.
   • Gabriel Peyré, CNRS and ENS.
6. Scikit-learn and Panda frameworks (Friday 8th June, 14h-16h30)
   • Olivier Grisel (INRIA)
   • Joris Van den Bossche (INRIA)
7. Mean Field Games and applications (Friday September 14th, 14h-16h30)
   • Olivier Guéant, Paris 1.
8. Topos of information (Friday October 12th, 14h-16h30)
   • Daniel Bennequin, Paris 7.
   • Alain Berthoz, Collège de France.
9. Advanced non-linear signal processing (Friday November 9th, 14h-16h30)
   • Philippe Ciblat, Telecom ParisTech.
10. Quantum computing (Friday December, 7th – TBC, 14h-16h30)
    • Anupam Prakash, Berkley.
    • Elham Kashefi, Paris 6.

Session 2017

1. Optimal Transport Meets Machine Learning, (Jan. 20, 14h-17h):
   • Marco Cuturi, ENSAE.
   • Nicolas Courty, IRISA.
2. Geodesics and Fast Marching (Feb. 3rd, 14h-17h):
   • Laurent Cohen, CNRS and Paris-Dauphine.
   • Jean-Marie Mirebeau, CNRS and Paris-Sud.
3. Geometrical and Topological Data Analysis (Feb. 28th, 14h-17h)
   • Pierre Alliez, INRIA.
   • Julien Tierny, CNRS and Paris 6.
4. Convex Optimization (April 18th, 14h-17h)
   • Alexandre Gramfort, INRIA.
   • Matthieu Kowalski, Paris-Sud.
5. Deep learning (May 19th, 14h-17h)
   • Alexandre Allauzen, Paris-Sud.
   • Guillaume Charpiat, INRIA.
6. Sparsity and Compressed Sensing (June 8th, 14h-17h)
   • Jalal Fadili, ENSICaen.
   • Guillaume Lecué, CNRS and ENSAE.
7. Machine Learning (July 3rd, 14h-17h)
   • Gael Varoquaux, INRIA.
   • Alexandre Gramfort, INRIA.
8. Curses and Blessing of High Dimension (Sep. 11th, 14h-17h)
   • Julie Delon, Paris 5.
   • Jalal Fadili, ENSICaen.
9. Computational Bayesian Inference (Nov. 6th, 14h-17h)
   • Robin Ryder, Paris-Dauphine.
   • Jalal Fadili, ENSICaen.
10. Parallel Stochastic Computing (Dec. 19th, 14h-17h)
    • Emilie Chouzenoux, Paris-Est.
    • Fabian Pedregosa, ETH and UC Berkeley.