The Summer School aims to tackle cross-cutting mathematical approaches to imaging sciences and machine/deep learning, essential for young PhD students/researchers interested in discovering the fascinating connections between these disciplines. The school aims at providing the students with both the theoretical and applied foundations of the mathematics of machine learning for imaging with an overview to challenging applications.
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