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Neural Networks for Safety-Critical Applications - Challenges,
  Experiments and Perspectives

Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives

4 September 2017
Chih-Hong Cheng
Frederik Diehl
Yassine Hamza
Gereon Hinz
Georg Nührenberg
Markus Rickert
Harald Ruess
Michael Truong-Le
    AAML
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Papers citing "Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives"

2 / 2 papers shown
Title
Maximum Resilience of Artificial Neural Networks
Maximum Resilience of Artificial Neural Networks
Chih-Hong Cheng
Georg Nührenberg
Harald Ruess
AAML
90
284
0
28 Apr 2017
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
140
1,863
0
22 Sep 2016
1