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Andreas Baumbach
Andreas Baumbach
PostDoctoral Researcher at Heidelberg University
Bestätigte E-Mail-Adresse bei kip.uni-heidelberg.de
Titel
Zitiert von
Zitiert von
Jahr
The astropy project: Building an open-science project and status of the v2. 0 core package
AM Price-Whelan, BM Sipőcz, HM Günther, PL Lim, SM Crawford, ...
The Astronomical Journal 156 (3), 123, 2018
90702018
Fast and energy-efficient neuromorphic deep learning with first-spike times
J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ...
Nature machine intelligence 3 (9), 823-835, 2021
1232021
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
S Billaudelle, Y Stradmann, K Schreiber, B Cramer, A Baumbach, D Dold, ...
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
572020
Fast and deep neuromorphic learning with first-spike coding
J Göltz, A Baumbach, S Billaudelle, AF Kungl, O Breitwieser, K Meier, ...
Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020
422020
Accelerated physical emulation of bayesian inference in spiking neural networks
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
Frontiers in neuroscience 13, 1201, 2019
422019
Stochasticity from function—why the bayesian brain may need no noise
D Dold, I Bytschok, AF Kungl, A Baumbach, O Breitwieser, W Senn, ...
Neural networks 119, 200-213, 2019
312019
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
272022
Cortical oscillations support sampling-based computations in spiking neural networks
A Korcsak-Gorzo, MG Müller, A Baumbach, L Leng, OJ Breitwieser, ...
PLoS computational biology 18 (3), e1009753, 2022
162022
Spiking neuromorphic chip learns entangled quantum states
S Czischek, A Baumbach, S Billaudelle, B Cramer, L Kades, ...
SciPost Physics 12 (1), 039, 2022
132022
Fast and deep: Energy-efficient neuromorphic learning with first-spike times
J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ...
arXiv preprint arXiv:1912.11443, 2019
132019
Variational learning of quantum ground states on spiking neuromorphic hardware
R Klassert, A Baumbach, MA Petrovici, M Gärttner
Iscience 25 (8), 2022
72022
Fast and deep neuromorphic learning with time-to-first-spike coding (2019)
J Göltz, A Baumbach, S Billaudelle, O Breitwieser, D Dold, L Kriener, ...
arXiv preprint arXiv:1911.10124, 2019
52019
Accelerated physical emulation of bayesian inference in spiking neural networks. Front Neurosci 13: 1201
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
52019
Brainscales: Greater versatility for neuromorphic emulation
A Baumbach, S Billaudelle, V Sabado, MA Petrovici
Brain-inspired Computing, 15, 2021
42021
Magnetic phenomena in spiking neural networks
A Baumbach, AF Kungl, MA Petrovici, J Schemmel, K Meier
Spin 200, 100, 2016
42016
F09/F10 Neuromorphic Computing
A Grübl, A Baumbach
University of Heidelberg, 2017
32017
Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks
A Korcsak-Gorzo, A Baumbach, R Legenstein, OJ Breitwieser, ...
Computational and Systems Neuroscience, 2021
22021
Quantum many-body states: A novel neuromorphic application
A Baumbach, R Klassert, S Czischek, M Gärttner, MA Petrovici
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
2022
Cortical oscillations support sampling-based computations in spiking neural networks
A Baumbach, A Korcsak-Gorzo, MG Mueller, L Leng, OJ Breitwieser, ...
JOURNAL OF COMPUTATIONAL NEUROSCIENCE 49 (SUPPL 1), S5-S6, 2021
2021
A functional role of cortical oscillations for probabilistic computation in spiking neural networks
MG Müller, A Korcsak-Gorzo, W Senn, L Leng, A Baumbach, ...
COSYNE 2021: Computational and Systems Neuroscience, 2021
2021
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