62 citations · 73 across the 4 of their papers we have counts for
4 papers
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs
Michael Beyer, Andrey Morozov, Emil Valiev +4
Today, Deep Learning (DL) enhances almost every industrial sector, including safety-critical areas. The next generation of safety standards will define appropriate verification tec…
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
Karim Guirguis, Christoph Schorn, Andre Guntoro +2
The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars. Extensive research has been carried out concerning…
Automated design of error-resilient and hardware-efficient deep neural networks
Christoph Schorn, Thomas Elsken, Sebastian Vogel +3
Applying deep neural networks (DNNs) in mobile and safety-critical systems, such as autonomous vehicles, demands a reliable and efficient execution on hardware. Optimized dedicated…
Efficient Stochastic Inference of Bitwise Deep Neural Networks
Sebastian Vogel, Christoph Schorn, Andre Guntoro +1
Recently published methods enable training of bitwise neural networks which allow reduced representation of down to a single bit per weight. We present a method that exploits ensem…