• Computer Science

    • Convex Optimization
    • Sparse Representation
    • Total Variation
    • Linear Independence
  • Mathematics

    • Extreme Points
    • Hilbert Space
    • Nondegeneracy
    • Measures


SPOT: Sparsity Promoting Optimal Transport regularization for superresolution and data-driven models

In this project, we plan to study the properties of solutions of sparsity promoting models. In particular, we will focus on static and dynamic models regularized with Optimal Transport energies, with the goal of understanding the superresolution properties of Inverse Problems in the presence of noise. We will then apply the developed theory to analyze the dynamics and improve the training of Machine Learning models.


University of Twente

Zilverling (building no. 11), room 2055
Hallenweg 19
7522 NH Enschede

Navigate to location


Scan the QR code or
Download vCard