Entangled q-Convolutional Neural Nets

no code implementations • 6 Mar 2021 • Vassilis Anagiannis, Miranda C. N. Cheng

In both our experiments on the MNIST and Fashion-MNIST datasets, we observe a distinct increase in both the left/right as well as the up/down bipartition entanglement entropy during training as the network learns the fine features of the data.

BIG-bench Machine Learning General Classification

Covariance in Physics and Convolutional Neural Networks

no code implementations • 6 Jun 2019 • Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling

In this proceeding we give an overview of the idea of covariance (or equivariance) featured in the recent development of convolutional neural networks (CNNs).