62 citations · 75 across the 5 of their papers we have counts for
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cs.LG2019★ 2 cited
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models
Michael J. Klaiber, Sebastian Vogel, Axel Acosta +5
End-to-end performance estimation and measurement of deep neural network (DNN) systems become more important with increasing complexity of DNN systems consisting of hardware and so…
cs.LG2019
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…