Laplacian Networks: Bounding Indicator Function Smoothness for Neural Networks Robustness

no code implementations • ICLR 2019 • Carlos Eduardo Rosar Kos Lassance, Vincent Gripon, Antonio Ortega

For the past few years, Deep Neural Network (DNN) robustness has become a question of paramount importance.

Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness

no code implementations • 24 May 2018 • Carlos Eduardo Rosar Kos Lassance, Vincent Gripon, Antonio Ortega

For the past few years, Deep Neural Network (DNN) robustness has become a question of paramount importance.

Matching Convolutional Neural Networks without Priors about Data

1 code implementation • 27 Feb 2018 • Carlos Eduardo Rosar Kos Lassance, Jean-Charles Vialatte, Vincent Gripon

We propose an extension of Convolutional Neural Networks (CNNs) to graph-structured data, including strided convolutions and data augmentation on graphs.

Data Augmentation