Elias Arnold

According to our database, Elias Arnold authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware.

Elias Arnold, Eike-Manuel Edelmann, Alexander von Bank, Eric Müller, Laurent Schmalen, Johannes Schemmel

Proceedings of the Neuro Inspired Computational Elements, 2025

Live Demonstration: Event-based Learning in Spiking Networks on Analog Hardware using JAX.

Elias Arnold, Eric Müller, Johannes Schemmel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Towards Large-scale Network Emulation on Analog Neuromorphic Hardware.

Elias Arnold, Philipp Spilger, Jan V. Straub, Eric Müller, Dominik Dold, Gabriele Meoni, Johannes Schemmel

CoRR, 2024

jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware.

Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023

Event-based Backpropagation for Analog Neuromorphic Hardware.

Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel

CoRR, 2023

Spiking Neural Network Linear Equalization: Experimental Demonstration of 2km 100Gb/s IM/DD PAM4 Optical Transmission.

Georg Böcherer, Florian Strasser, Elias Arnold, Youxi Lin, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2.

Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

2022

Spiking Neural Network Equalization for IM/DD Optical Communication.

Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov

CoRR, 2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.

Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Leonard Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Christian Pehle, Johannes Schemmel

CoRR, 2022