Selected publications.


  1. 07-feature_geometry.png
    On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning
    Matteo Gamba, Arna Ghosh, Kumar Krishna Agrawal, and 3 more authors
    NeurIPS workshop SSL Theory and Practice, 2023
  2. 01-jacobian_operator_norm.png
    On the Lipschitz Constant of Deep Networks and Double Descent
    Matteo Gamba, Hossein Azizpour, and Mårten Björkman
    In Procedings of the British Machine Vision Conference 2023, 2023
  3. 02-illustration_sharp.png
    Deep Double Descent via Smooth Interpolation
    Matteo Gamba, Erik Englesson, Mårten Björkman, and 1 more author
    In Transactions in Machine Learning Research, 2023


  1. 03-jacobian_operator_norm-epochwise.png
    Overparameterization Implictly Regularizes Input Smoothness
    Matteo Gamba, Hossein Azizpour, and Mårten Björkman
    NeurIPS workshop Interpolate, 2022
  2. 04-illustration.png
    Are All Linear Regions Created Equal?
    Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, and 2 more authors
    In International Conference on Artificial Intelligence and Statistics, 2022


  1. 05-statistics.png
    Hyperplane arrangements of trained convnets are biased
    Matteo Gamba, Stefan Carlsson, Hossein Azizpour, and 1 more author
    arXiv preprint arXiv:2003.07797, 2020


  1. 06-cones.png
    On the Geometry of Rectifier Convolutional Neural Networks
    Matteo Gamba, Hossein Azizpour, Stefan Carlsson, and 1 more author
    In Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019