Welcome to the “Sparsity for Physics, Signal and Learning” summer school.

Where and when

• June 24th - 27th 2019
• INRIA - Paris, 2 rue Simone Iff, 75012 Paris, France.

Registration

Registration is free but mandatory.

Registration is now closed.

Topics

This summer school will be the opportunity to bring together students, researchers and people working on Sparsity and its applications to High-Dimensional Data. It will include four courses at Master/PhD level (no background required) and four additional talks on modern applications of sparse methods in domains such as imaging, parametric PDE, and large-scale data processing. The mathematical foundations of this event lie between probability, statistics, numerical analysis, optimization, image and signal processing.

Speakers

Courses

• Yohann De Castro (ENPC)
• Emilie Chouzenoux (Paris Est Marne-la-Vallée)
• Karen Veroy-Grepl (RWTH-Aachen)
• Bernard Haasdonk (Stuttgart University)
• Practical session: James Nichols (Sorbonnes Universités)

Talks

• Albert Cohen (Sorbonne Universités)
• Yvon Maday (Sorbonne Universités)
• Laure Blanc-Féraud (CNRS I3S)
• Rémi Gribonval (INRIA Rennes)

Organizers

• Vincent Duval (INRIA)
• Olga Mula (Université Paris Dauphine)
• Nicolas Keriven (ENS)
• Gabriel Peyré (CNRS, ENS)

Contact

sparsity4psl [dot] gmail [dot] com

Supported by

The summer school is supported by the ERC grant NORIA.