3.2k citations · 4.3k across the 27 of their papers we have counts for
4 papers · 1 filter
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation
Erik Englesson, Hossein Azizpour
In this work we aim to obtain computationally-efficient uncertainty estimates with deep networks. For this, we propose a modified knowledge distillation procedure that achieves sta…
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre, Hossein Azizpour
Graph Networks are used to make decisions in potentially complex scenarios but it is usually not obvious how or why they made them. In this work, we study the explainability of Gra…
Predictions of turbulent shear flows using deep neural networks
P. A. Srinivasan, L. Guastoni, H. Azizpour +2
In the present work we assess the capabilities of neural networks to predict temporally evolving turbulent flows. In particular, we use the nine-equation shear flow model by Moehli…
The role of artificial intelligence in achieving the Sustainable Development Goals
Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite +7
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors across the society requires an assessment of its effect on sustainable development.…