Rachid Guerraoui, El Mahdi El Mhamdi
Neural networks have been traditionally considered robust in the sense that their precision degrades gracefully with the failure of neurons and can be compensated by additional learning phases. Nevertheless, critical applications for which neural networks ...
EPFL2016
