NIPS Proceedingsβ

Joan Bruna

6 Papers

  • Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias (2019)
  • Gradient Dynamics of Shallow Univariate ReLU Networks (2019)
  • On the equivalence between graph isomorphism testing and function approximation with GNNs (2019)
  • On the Expressive Power of Deep Polynomial Neural Networks (2019)
  • Stability of Graph Scattering Transforms (2019)
  • Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation (2014)