| 2025 | ICCAD | Invited Paper: Rapid Performance Evaluation and Optimized AI Inference for Heterogeneous Automotive Chiplets. | Christoph Schorn, Axel Sauer, Marius Fischer, Ingo Feldner, Thomas Schamm, Falk Rehm |
| 2020 | IJCAI | Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers. | Andrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn |
| 2020 | ISSRE | Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection. | Lydia Gauerhof, Yuki Hagiwara, Christoph Schorn, Mario Trapp |
| 2019 | DATE | An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks. | Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2019 | DATE | Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. | Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2018 | DATE | Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators. | Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2018 | SAFECOMP | Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators. | Christoph Schorn, Andre Guntoro, Gerd Ascheid |