11 citations · 13 across the 4 of their papers we have counts for
4 papers
BOMP-NAS: Bayesian Optimization Mixed Precision NAS
David van Son, Floran de Putter, Sebastian Vogel +1
Bayesian Optimization Mixed-Precision Neural Architecture Search (BOMP-NAS) is an approach to quantization-aware neural architecture search (QA-NAS) that leverages both Bayesian op…
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…
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…