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Elias Arnold
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A scalable approach to modeling on accelerated neuromorphic hardware
E Müller, E Arnold, O Breitwieser, M Czierlinski, A Emmel, J Kaiser, ...
Frontiers in neuroscience 16, 884128, 2022
192022
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
E Arnold, G Böcherer, E Müller, P Spilger, J Schemmel, S Calabrò, ...
2022 European Conference on Optical Communication (ECOC), 1-4, 2022
112022
Spiking neural network equalization for IM/DD optical communication
E Arnold, G Böcherer, E Müller, P Spilger, J Schemmel, S Calabrò, ...
Signal Processing in Photonic Communications, SpTu1J. 2, 2022
82022
Spiking Neural Network Linear Equalization: Experimental Demonstration of 2km 100Gb/s IM/DD PAM4 Optical Transmission
G Böcherer, F Strasser, E Arnold, Y Lin, J Schemmel, S Calabrò, ...
2023 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2023
72023
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2
P Spilger, E Arnold, L Blessing, C Mauch, C Pehle, E Müller, J Schemmel
arXiv preprint arXiv:2212.12210, 2022
62022
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication
E Arnold, G Böcherer, F Strasser, E Müller, P Spilger, S Billaudelle, J Weis, ...
Journal of Lightwave Technology, 2023
42023
Event-based Backpropagation for Analog Neuromorphic Hardware
C Pehle, L Blessing, E Arnold, E Müller, J Schemmel
arXiv preprint arXiv:2302.07141, 2023
42023
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
E Müller, M Althaus, E Arnold, P Spilger, C Pehle, J Schemmel
arXiv preprint arXiv:2401.16841, 2024
12024
Ausgedehnte räumliche Kopplung von Bose-Einstein-Kondensaten zur Realisierung von Gewinn und Verlust
E Arnold, GPDDH Cartarius
Bachelorarbeit, Universität Stuttgart, 2017
12017
Towards Large-scale Network Emulation on Analog Neuromorphic Hardware
E Arnold, P Spilger, JV Straub, E Müller, D Dold, G Meoni, J Schemmel
arXiv preprint arXiv:2401.16840, 2024
2024
Gradient Computation With Sparse Observations for Analog Neuromorphic Hardware
L Blessing, E Arnold, E Müller, J Schemmel, C Pehle
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Articles 1–11