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ORCIDAndreas Baumbach
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2020 – today
- 2023
[j4]Hadi Zolfaghari
, Mervyn Andiapen, Andreas Baumbach, Anthony Mathur, Rich R. Kerswell:
Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics. PLoS Comput. Biol. 19(10) (2023)- 2022
- [j3]Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach, Luziwei Leng, Oliver Julien Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A. Petrovici:
Cortical oscillations support sampling-based computations in spiking neural networks. PLoS Comput. Biol. 18(3) (2022) - [c4]Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici:
Quantum many-body states: A novel neuromorphic application. NICE 2022: 104-106 - [i8]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) - 2021
- [j2]Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. 3(9): 823-835 (2021) - [i7]Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner:
Variational learning of quantum ground states on spiking neuromorphic hardware. CoRR abs/2109.15169 (2021) - [i6]Andreas Baumbach, Sebastian Billaudelle, Virginie Sabado, Mihai A. Petrovici:
BrainScaleS: Greater Versatility for Neuromorphic Emulation. ERCIM News 2021(125) (2021) - 2020
- [b1]Andreas Baumbach:
From microscopic dynamics to ensemble behavior in spiking neural networks. University of Heidelberg, Germany, 2020 - [c3]Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1-5 - [c2]Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1 - [c1]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Ákos F. Kungl, Oliver Breitwieser, Karlheinz Meier, Johannes Schemmel, Laura Kriener, Mihai A. Petrovici:
Fast and deep neuromorphic learning with first-spike coding. NICE 2020: 14:1-14:3 - [i5]Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner:
Spiking neuromorphic chip learns entangled quantum states. CoRR abs/2008.01039 (2020)
2010 – 2019
- 2019
- [j1]Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks 119: 200-213 (2019) - [i4]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and deep neuromorphic learning with time-to-first-spike coding. CoRR abs/1912.11443 (2019) - [i3]Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR abs/1912.12980 (2019) - 2018
- [i2]Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Generative models on accelerated neuromorphic hardware. CoRR abs/1807.02389 (2018) - [i1]Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - why the Bayesian brain may need no noise. CoRR abs/1809.08045 (2018)
Coauthor Index
aka: Oliver Julien Breitwieser
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