2 citations · 3 across the 3 of their papers we have counts for
3 papers
Removing cloud shadows from ground-based solar imagery
Amal Chaoui, Jay Paul Morgan, Adeline Paiement +1
The study and prediction of space weather entails the analysis of solar images showing structures of the Sun's atmosphere. When imaged from the Earth's ground, images may be pollut…
Domain-informed graph neural networks: a quantum chemistry case study
Jay Morgan, Adeline Paiement, Christian Klinke
We explore different strategies to integrate prior domain knowledge into the design of a deep neural network (DNN). We focus on graph neural networks (GNN), with a use case of esti…
Adaptive Neighbourhoods for the Discovery of Adversarial Examples
Jay Morgan, Adeline Paiement, Arno Pauly +1
Deep Neural Networks (DNNs) have often supplied state-of-the-art results in pattern recognition tasks. Despite their advances, however, the existence of adversarial examples have c…