Giorgia Franchini

On the first order optimization methods in Deep Image Prior

  • Giorgia Franchini
  • Federica Porta
  • Andrea Sebastiani
    • Categories Network Optimization, Nonsmooth Optimization, Stochastic Approaches

    Deep learning methods have state-of-the-art performances in many image restoration tasks. Their effectiveness is mostly related to the size of the dataset used for the training. Deep Image Prior (DIP) is an energy function framework which eliminates the dependency on the training set, by considering the structure of a neural network as an handcrafted prior … Read more

    A line search based proximal stochastic gradient algorithm with dynamical variance reduction

  • Giorgia Franchini
  • Federica Porta
  • Valeria Ruggiero
  • Ilaria Trombini
    • Categories Convex Optimization Tags , , ,

    Many optimization problems arising from machine learning applications can be cast as the minimization of the sum of two functions: the first one typically represents the expected risk, and in practice it is replaced by the empirical risk, and the other one imposes a priori information on the solution. Since in general the first term … Read more