Generative models on accelerated neuromorphic hardware. - Ákos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller 002; Andreas Baumbach; Dominik Dold; Alexander Kugele; Nico Gürtler; Luziwei Leng; Eric Müller 001; Christoph Koke; Mitja Kleider; et al. (CoRR, 2018)

Fast and deep neuromorphic learning with time-to-first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Dominik Dold; Laura Kriener; Ákos Ferenc Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2019)

Stochasticity from function - Why the Bayesian brain may need no noise. - Dominik Dold; Ilja Bytschok; Ákos F. Kungl; Andreas Baumbach; Oliver Breitwieser; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Neural Networks, 2019)

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Fast and deep neuromorphic learning with first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Ákos F. Kungl; Oliver Breitwieser; Karlheinz Meier; Johannes Schemmel; Laura Kriener; Mihai A. Petrovici (NICE, 2020)

Spiking neuromorphic chip learns entangled quantum states. - 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 (CoRR, 2020)

From microscopic dynamics to ensemble behavior in spiking neural networks. - Andreas Baumbach (2020)

Variational learning of quantum ground states on spiking neuromorphic hardware. - Robert Klassert; Andreas Baumbach; Mihai A. Petrovici; Martin Gärttner (CoRR, 2021)

BrainScaleS: Greater Versatility for Neuromorphic Emulation. - Andreas Baumbach; Sebastian Billaudelle; Virginie Sabado; Mihai A. Petrovici (ERCIM News, 2021)

Fast and energy-efficient neuromorphic deep learning with first-spike times. - 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 (Nat. Mach. Intell., 2021)

Quantum many-body states: A novel neuromorphic application. - Andreas Baumbach; Robert Klassert; Stefanie Czischek; Martin Gärttner; Mihai A. Petrovici (NICE, 2022)

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. - Eric Müller 001; Elias Arnold; Oliver Breitwieser; Milena Czierlinski; Arne Emmel; Jakob Kaiser; Christian Mauch; Sebastian Schmitt; Philipp Spilger; Raphael Stock; Yannik Stradmann; Johannes Weis; et al. (CoRR, 2022)

Cortical oscillations support sampling-based computations in spiking neural networks. - 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 (PLoS Comput. Biol., 2022)

Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics. - Hadi Zolfaghari; Mervyn Andiapen; Andreas Baumbach; Anthony Mathur; Rich R. Kerswell (PLoS Comput. Biol., 2023)

Weight transport through spike timing for robust local gradients. - Timo Gierlich; Andreas Baumbach; Ákos F. Kungl; Kevin Max; Mihai A. Petrovici (CoRR, 2025)

A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data. - Xingwei He; Kit Mills Bransby; Ahmet Emir Ulutas; Thamil Kumaran; Nathan Angelo Lecaros Yap; Gonul Zeren; Hesong Zeng; Yaojun Zhang; Andreas Baumbach; James Moon; Anthony Mathur; Jouke Dijkstra; et al. (CoRR, 2025)