Etienne Mueller, Daniel Auge, Simon Klimaschka, Alois Knoll: Neural Oscillations for Energy-Efficient Hardware Implementation of Sparsely Activated Deep Spiking Neural Networks. Association for the Advancement of Artificial Intelligence (AAAI), 2022Practical Deep Learning in the Wildmehr…BibTeX
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2021
Auge, Daniel; Hille, Julian; Mueller, Etienne; Knoll, Alois: A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks. Neural Processing Letters, 2021 mehr…BibTeX
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Daniel Auge, Julian Hille, Etienne Mueller, Alois Knoll: Hand Gesture Recognition in Range-Doppler Images Using Binary Activated Spiking Neural Networks. IEEE International Conference on Automatic Face and Gesture Recognition 2021, 2021acceptedmehr…BibTeX
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Daniel Auge, Julian Hille, Felix Kreutz, Etienne Mueller, Alois Knoll: End-to-end Spiking Neural Network for Speech Recognition Using Resonating Input Neurons. 30th International Conference on Artificial Neural Networks (ICANN), 2021acceptedmehr…BibTeX
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Etienne Mueller, Julius Hansjakob, Daniel Auge, Alois Knoll: Minimizing Inference Time: Optimization Methods for Converted Deep Spiking Neural Networks. International Joint Conference on Neural Networks (IJCNN), 2021acceptedmehr…BibTeX
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Etienne Mueller, Viktor Studenyak, Daniel Auge, Alois Knoll: Spiking Transformer Networks: A Rate Coded Approach for Processing Sequential Data. Internation Conference on Systems and Informatics (ICSAI), 2021acceptedmehr…BibTeX
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Saasha Nair, Sina Shafaei, Daniel Auge and Alois Knoll: An Evaluation of “Crash Prediction Networks” (CPN) for Autonomous Driving Scenarios in CARLA Simulator. SafeAI 2021 - The AAAI's Workshop on Artificial Intelligence Safety, 2021, mehr…BibTeX
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2020
Auge D, Wenner P, Mueller E: Hand Gesture Recognition using Hierarchical Temporal Memory on Radar Sequence Data. Bernstein Conference 2020, 2020 mehr…BibTeX
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Daniel Auge, Etienne Mueller: Resonate-and-Fire Neurons as Frequency Selective Input Encoders for Spiking Neural Networks. 2020, mehr…BibTeX
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Mueller E, Hansjakob J, Auge D: Faster Conversion of Analog to Spiking Neural Networks by Error Centering. Bernstein Conference 2020, 2020 mehr…BibTeX
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