Adam Oberman

  1. Title:
    PDE approach to regularization in deep learning
    Speaker:
    Adam Oberman

    Link:
    http://www.birs.ca/events/2017/5-day-workshops/17w5093/videos/watch/201705040903-Oberman.html

  2. Title:
    Lipschitz Regularized Deep Neural Networks Converge and are robust to adversarial perturbations
    Speaker:
    Adam Oberman

    Link:
    https://video-archive.fields.utoronto.ca/view/9756

  3. Title:
    Finite Difference schemes for Geometric Nonlinear Elliptic PDEs
    Speaker:
    Adam Oberman

    Link:
    https://www.msri.org/workshops/417/schedules/2976

  4. Title:
    From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results
    Speaker:
    Adam Oberman

    Link:
    https://www.msri.org/workshops/928/schedules/28396