Inverse problems and machine learning

June 29-30, 2023


Université Côte d'Azur
Parc Valrose
Nice, France

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  • The workshop is postponed to 2024

    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.

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