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ORCIDSven Nitzsche
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2020 – today
- 2026
[c13]Annina Gutermann, Alexey Serdyuk, Fabian Lesniak, Julian Höfer, Hella Toto-Kiesa, Tanja Harbaum, Jürgen Becker, Brian Pachideh, Sven Nitzsche, Moritz Neher, Carmen Weigelt, Jann Krausse, Victor Pazmino Betancourt, Klaus Knobloch, Lukas Groth, Andrija Neskovic, Saleh Mulhem, Mladen Berekovic:
Multi-Partner Project: CeCaS Accelerator Design for Efficient Supercomputing in Automotive Systems. DATE 2026: 1-7- [i6]Brian Pachideh, Sven Nitzsche, Moritz Neher, Jann Krausse, Carmen Weigelt, Klaus Knobloch, Victor Pazmino Betancourt, Jürgen Becker:
YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap. CoRR abs/2604.03432 (2026) - [i5]Sven Nitzsche, Alexandru Ionita, Andreas Faust, Bogdan Ionescu, Jürgen Becker:
An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons. CoRR abs/2606.17853 (2026) - [i4]Andreas Faust, Sven Nitzsche, Jürgen Becker:
Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms. CoRR abs/2606.19369 (2026) - 2025
- [c12]Alexandru Vasilache, Sven Nitzsche, Christian Kneidl, Mikael Tekneyan, Moritz Neher, Jürgen Becker:
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance. ICONS 2025: 174-181 - [c11]Sven Nitzsche, Alexandru Ionita, Andreas Faust, Bogdan Ionescu, Jürgen Becker:
An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons. PKDD/ECML Workshops (2) 2025: 364-379 - [i3]Alexandru Vasilache, Jona Scholz, Vincent Schilling, Sven Nitzsche, Florian Kälber, Johannes Korsch, Jürgen Becker:
A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications. CoRR abs/2504.11026 (2025) - [i2]Alexandru Vasilache, Sven Nitzsche, Christian Kneidl, Mikael Tekneyan, Moritz Neher, Jürgen Becker:
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance. CoRR abs/2506.13416 (2025) - 2024
- [c10]Jann Krausse, Sven Nitzsche, Brian Pachideh, Carmen Weigelt, Klaus Knobloch, Jürgen Becker:
Exploring Neuronal Leakage for Spiking Neural Networks on Event-Driven Hardware. ICONS 2024: 140-147 - [c9]Alexandru Vasilache, Sven Nitzsche, Daniel Flögel, Tobias Schürmann, Stefan von Dosky, Thomas Bierweiler, Marvin Mußler, Florian Kälber, Sören Hohmann, Jürgen Becker:
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 Using Neural Networks: A Survey. PKDD/ECML Workshops (1) 2024: 149-161 - [i1]Alexandru Vasilache, Sven Nitzsche, Daniel Flögel, Tobias Schürmann, Stefan von Dosky, Thomas Bierweiler, Marvin Mußler, Florian Kälber, Sören Hohmann, Jürgen Becker:
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey. CoRR abs/2408.00516 (2024) - 2023
- [c8]Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia
, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner:
Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 2023: 1-7 - [c7]Brian Pachideh, Christian Zielke, Sven Nitzsche, Jürgen Becker:
Towards Hardware-Software Self-Adaptive Acceleration of Spiking Neural Networks on Reconfigurable Digital Hardware. SOCC 2023: 1-6 - 2022
- [c6]Valentin Kiechle, Matthias Börsig, Sven Nitzsche, Ingmar Baumgart, Jürgen Becker:
PREUNN: Protocol Reverse Engineering using Neural Networks. ICISSP 2022: 345-356 - 2021
- [j1]Nadir Khan, Sven Nitzsche, Asier Garciandia López, Jürgen Becker:
Utilizing and Extending Trusted Execution Environment in Heterogeneous SoCs for a Pay-Per-Device IP Licensing Scheme. IEEE Trans. Inf. Forensics Secur. 16: 2548-2563 (2021) - [c5]Sven Nitzsche, Brian Pachideh, Victor Pazmino Betancourt, Norbert Link, Christoph Schauer, Lukas Theurer, Valentin Haas, Philipp Marquardt, Sergey Biniaminov, Jürgen Becker:
Neuromorphic Vision mit Spiking Neural Networks zur Sturzerkennung im betreuten Wohnen. GI-Jahrestagung 2021: 1247-1253 - [c4]Sven Nitzsche, Moritz Neher, Stefan von Dosky, Jürgen Becker:
Ultra-low Power Machinery Fault Detection Using Deep Neural Networks. PKDD/ECML Workshops (1) 2021: 390-396 - 2020
- [c3]Matthias Börsig, Sven Nitzsche, Max Eisele, Roland Gröll, Jürgen Becker, Ingmar Baumgart:
Fuzzing Framework for ESP32 Microcontrollers. WIFS 2020: 1-6
2010 – 2019
- 2019
- [c2]Nadir Khan, Arthur Silitonga, Brian Pachideh, Sven Nitzsche, Jürgen Becker:
Secure Local Configuration of Intellectual Property Without a Trusted Third Party. ARC 2019: 137-146 - [c1]Nadir Khan, Sven Nitzsche, Jürgen Becker:
A Secure Framework with Remote Configuration of Intellectual Property. ICISSP 2019: 564-571
Coauthor Index
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