Inverse problems and machine learning

September 1-2, 2022

Université Côte d'Azur
Parc Valrose
Nice, France

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  • Recent works in deep learning have demonstrated how to integrate deep learning techniques and inverse problems. The contributions are twofold: from one hand, deep learning algorithms can leverage large collections of training data to directly compute regularized reconstructions. From the other hand, deep learning algorithms can benefit from the vast inverse problem literature and the existing amount of contributions to the theory of inverse problems.

    The goal of this workshop is to gather mathematicians, computer scientists, and engineers from both inverse problems and machine learning communities.

    The workshop will be held on September 1st and 2nd, 2022, on the beautiful site of Parc Valrose, Université Côte d'Azur, Nice, France.

    Talks will take place in the conference room of the mathematics laboratory (LJAD).