Christoph Schorn

According to our database, Christoph Schorn authored at least 12 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Low-overhead fault tolerance for safety-critical neural network applications.

Christoph Schorn

PhD thesis, 2020

Automated design of error-resilient and hardware-efficient deep neural networks.

Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid

Neural Comput. Appl., 2020

Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs.

Michael Beyer, Andrey Morozov, Emil Valiev, Christoph Schorn, Lydia Gauerhof, Kai Ding, Klaus Janschek

CoRR, 2020

FACER: A Universal Framework for Detecting Anomalous Operation of Deep Neural Networks.

Christoph Schorn, Lydia Gauerhof

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

Lydia Gauerhof, Yuki Hagiwara, Christoph Schorn, Mario Trapp

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.

Andrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks.

Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach.

Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks.

Christoph Schorn, Andre Guntoro, Gerd Ascheid

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators.

Christoph Schorn, Andre Guntoro, Gerd Ascheid

Proceedings of the Computer Safety, Reliability, and Security, 2018

Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators.

Christoph Schorn, Andre Guntoro, Gerd Ascheid

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2016

Efficient Stochastic Inference of Bitwise Deep Neural Networks.

Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid

CoRR, 2016