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Elias Arnold
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2020 – today
- 2024
- [c3]Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel:
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. NICE 2024: 1-6 - [i6]Elias Arnold, Philipp Spilger, Jan V. Straub, Eric Müller, Dominik Dold, Gabriele Meoni, Johannes Schemmel:
Towards Large-scale Network Emulation on Analog Neuromorphic Hardware. CoRR abs/2401.16840 (2024) - [i5]Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel:
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. CoRR abs/2401.16841 (2024) - 2023
- [c2]Philipp Spilger
, Elias Arnold
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2. NICE 2023: 57-62 - [c1]Georg Böcherer, Florian Strasser, Elias Arnold, Youxi Lin, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov:
Spiking Neural Network Linear Equalization: Experimental Demonstration of 2km 100Gb/s IM/DD PAM4 Optical Transmission. OFC 2023: 1-3 - [i4]Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel:
Event-based Backpropagation for Analog Neuromorphic Hardware. CoRR abs/2302.07141 (2023) - 2022
- [i3]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:
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. CoRR abs/2203.11102 (2022) - [i2]Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov:
Spiking Neural Network Equalization for IM/DD Optical Communication. CoRR abs/2205.04263 (2022) - [i1]Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel:
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2. CoRR abs/2212.12210 (2022)
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