Andreas Baumbach

Fast and energy-efficient neuromorphic deep learning with first-spike times

Laura Kriener, Andreas Baumbach, Sebastian Billaudelle et al. · arXiv (Cornell University) · 2019 · 133 citations · Full text

Life Sciences, Computer Systems, Electrical Engineering +13

Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

Ákos F. Kungl, S. Schmitt, Johann Klähn et al. · Frontiers in Neuroscience · 2019 · 44 citations · Full text

Life Sciences, Computer Systems, Computational Neuroscience +16

Stochasticity from function — Why the Bayesian brain may need no noise

Dominik Dold, Ilja Bytschok, Ákos F. Kungl et al. · Neural Networks · 2019 · 32 citations · Full text

Life Sciences, Neuroscience, Computational Neuroscience +16

Fast and deep neuromorphic learning with first-spike coding

Julian Göltz, Andreas Baumbach, Sebastian Billaudelle et al. · 2020 · 24 citations

Computing, Neuroscience, Computational Neuroscience +16

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware

Eric Müller, Elias Arnold, Oliver Breitwieser et al. · Frontiers in Neuroscience · 2022 · 23 citations · Full text

Engineering, Computer Engineering, Computer Science +16