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)

Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates - Dominik Dold (2020)

Machine learning on knowledge graphs for context-aware security monitoring. - Josep Soler Garrido; Dominik Dold; Johannes Frank (CSR, 2021)

An energy-based model for neuro-symbolic reasoning on knowledge graphs. - Dominik Dold; Josep Soler Garrido (ICMLA, 2021)

SpikE: spike-based embeddings for multi-relational graph data. - Dominik Dold; Josep Soler Garrido (IJCNN, 2021)

Learning through structure: towards deep neuromorphic knowledge graph embeddings. - Victor Caceres Chian; Marcel Hildebrandt; Thomas A. Runkler; Dominik Dold (CoRR, 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)

Neuro-symbolic computing with spiking neural networks. - Dominik Dold; Josep Soler Garrido; Victor Caceres Chian; Marcel Hildebrandt; Thomas A. Runkler (ICONS, 2022)

Relational representation learning with spike trains. - Dominik Dold (IJCNN, 2022)

Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. - Anna Himmelhuber; Dominik Dold; Stephan Grimm; Sonja Zillner; Thomas A. Runkler (SSCI, 2022)

Neuromorphic Computing and Sensing in Space. - Dario Izzo; Alexander Hadjiivanov; Dominik Dold; Gabriele Meoni; Emmanuel Blazquez (CoRR, 2022)

Selected Trends in Artificial Intelligence for Space Applications. - Dario Izzo; Gabriele Meoni; Pablo Gómez; Dominik Dold; Alexander Zoechbauer (CoRR, 2022)

Differentiable graph-structured models for inverse design of lattice materials. - Dominik Dold; Derek Aranguren van Egmond (CoRR, 2023)

The Space Optimization Competition: Third Edition. - Max Bannach; Emmanuel Blazquez; Dario Izzo; Giacomo Acciarini; Alexander Hadjiivanov; Gernot Heißel; Rita Mastroianni; Sebastien Origer; Jai Grover; Dominik Dold; Zacharia Rudge (GECCO Companion, 2024)

Towards Large-scale Network Emulation on Analog Neuromorphic Hardware. - Elias Arnold; Philipp Spilger; Jan V. Straub; Eric Müller 001; Dominik Dold; Gabriele Meoni; Johannes Schemmel (CoRR, 2024)

Continuous Design and Reprogramming of Totimorphic Structures for Space Applications. - Dominik Dold; Amy Thomas; Nicole Rosi; Jai Grover; Dario Izzo (CoRR, 2024)

Causal pieces: analysing and improving spiking neural networks piece by piece. - Dominik Dold; Philipp Christian Petersen (CoRR, 2025)

Energy efficiency analysis of Spiking Neural Networks for space applications. - Paolo Lunghi; Stefano Silvestrini; Dominik Dold; Gabriele Meoni; Alexander Hadjiivanov; Dario Izzo (CoRR, 2025)