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Johannes Weis
Johannes Weis
Master student, Physics, Heidelberg University
Verified email at kip.uni-heidelberg.de
Title
Cited by
Cited by
Year
Accelerated analog neuromorphic computing
J Schemmel, S Billaudelle, P Dauer, J Weis
Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors …, 2022
182022
Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate
B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ...
arXiv preprint arXiv:2006.07239, 2020
162020
Surrogate gradients for analog neuromorphic computing
B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ...
Proceedings of the National Academy of Sciences 119 (4), e2109194119, 2022
142022
hxtorch: PyTorch for BrainScaleS-2
P Spilger, E Müller, A Emmel, A Leibfried, C Mauch, C Pehle, J Weis, ...
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
142020
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
C Pehle, S Billaudelle, B Cramer, J Kaiser, K Schreiber, Y Stradmann, ...
Frontiers in Neuroscience 16, 2022
122022
Inference with artificial neural networks on analog neuromorphic hardware
J Weis, P Spilger, S Billaudelle, Y Stradmann, A Emmel, E Müller, ...
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
102020
Accelerated analog neuromorphic computing. arXiv [Preprint](2020)
J Schemmel, S Billaudelle, P Dauer, J Weis
arXiv preprint arXiv:2003.11996 12, 2003
62003
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, 2022
42022
Demonstrating analog inference on the BrainScaleS-2 mobile system
Y Stradmann, S Billaudelle, O Breitwieser, FL Ebert, A Emmel, ...
arXiv preprint arXiv:2103.15960, 2021
42021
Surrogate gradients for analog neuromorphic computing
B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ...
arXiv preprint arXiv:2006.07239, 2020
42020
Towards addressing noise and static variations of analog computations using efficient retraining
B Klein, L Kuhn, J Weis, A Emmel, Y Stradmann, J Schemmel, H Fröning
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
32021
Inference with Artificial Neural Networks on Neuromorphic Hardware
J Weis
Kirchhoff-Institute for Physics, Heidelberg University, 2020
32020
Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate. arXiv preprint (2020)
B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ...
arXiv preprint arXiv:2006.07239, 0
3
Testing of a neuromorphic Short Term Plasticity circuit
J Weis
Internship report, Universität Heidelberg, 2017
12017
Autocorrelations in homeostatic spiking neural networks as a result of emergent bistable activity
J Zierenberg, B Cramer, M Kreft, S Billaudelle, V Karasenko, A Leibfried, ...
Bulletin of the American Physical Society, 2022
2022
Faculty of Physics and Astronomy
J Weis
2018
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Articles 1–16