Welcome to the “Sparsity for Physics, Signal and Learning” summer school.
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.
sparsity4psl [dot] gmail [dot] com
The summer school is supported by the ERC grant NORIA.