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Disambiguation of "Schorn, Christoph"

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Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection.

, , , and . ISSRE Workshops, page 249-254. IEEE, (2020)

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Christoph Friedrich Schorn

Alfons Schorn

Julius Schorn

Hubert Schorn

Dieter Schorn

 

Other publications of authors with the same name

Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators., , and . DATE, page 979-984. IEEE, (2018)Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach., , , and . DATE, page 296-299. IEEE, (2019)Efficient Stochastic Inference of Bitwise Deep Neural Networks., , , and . CoRR, (2016)Automated design of error-resilient and hardware-efficient deep neural networks., , , , , and . CoRR, (2019)Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators., , and . SAFECOMP, volume 11093 of Lecture Notes in Computer Science, page 205-219. Springer, (2018)An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks., , and . DATE, page 1507-1512. IEEE, (2019)FACER: A Universal Framework for Detecting Anomalous Operation of Deep Neural Networks., and . ITSC, page 1-6. IEEE, (2020)Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers., , , , , and . AISafety@IJCAI, volume 2640 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Automated design of error-resilient and hardware-efficient deep neural networks., , , , , and . Neural Comput. Appl., 32 (24): 18327-18345 (2020)Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs., , , , , , and . CoRR, (2020)