Dominik Dold

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Trends In Artificial Intelligence

Spiking Neural Networks

Top Venues

Publications

Elias Arnold, Philipp Spilger, Jan V. Straub, Eric Müller, Dominik Dold, Gabriele Meoni, Johannes Schemmel
Towards Large-scale Network Emulation on Analog Neuromorphic Hardware. CoRR (2024)
Max Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heißel, Rita Mastroianni, Sebastien Origer, Jai Grover, Dominik Dold, Zacharia Rudge
The Space Optimization Competition: Third Edition. GECCO Companion (2024)
Dominik Dold, Derek Aranguren van Egmond
Differentiable graph-structured models for inverse design of lattice materials. CoRR (2023)
Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. SSCI (2022)
Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. CoRR (2022)
Dario Izzo, Alexander Hadjiivanov, Dominik Dold, Gabriele Meoni, Emmanuel Blazquez
Neuromorphic Computing and Sensing in Space. CoRR (2022)
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
Neuro-symbolic computing with spiking neural networks. ICONS (2022)
Dario Izzo, Gabriele Meoni, Pablo Gómez, Dominik Dold, Alexander Zoechbauer
Selected Trends in Artificial Intelligence for Space Applications. CoRR (2022)
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
Neuro-symbolic computing with spiking neural networks. CoRR (2022)
Dominik Dold
Relational representation learning with spike trains. IJCNN (2022)
Dominik Dold
Relational representation learning with spike trains. CoRR (2022)
Dominik Dold, Josep Soler Garrido
An energy-based model for neuro-symbolic reasoning on knowledge graphs. ICMLA (2021)
Josep Soler Garrido, Dominik Dold, Johannes Frank
Machine learning on knowledge graphs for context-aware security monitoring. CSR (2021)
Dominik Dold, Josep Soler Garrido
SpikE: spike-based embeddings for multi-relational graph data. CoRR (2021)
Dominik Dold, Josep Soler Garrido
An energy-based model for neuro-symbolic reasoning on knowledge graphs. CoRR (2021)
Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold
Learning through structure: towards deep neuromorphic knowledge graph embeddings. CoRR (2021)
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) (2021)
Dominik Dold, Josep Soler Garrido
SpikE: spike-based embeddings for multi-relational graph data. IJCNN (2021)
Josep Soler Garrido, Dominik Dold, Johannes Frank
Machine learning on knowledge graphs for context-aware security monitoring. CoRR (2021)
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)
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)
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 (2019)
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 (2019)
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 (2019)
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 (2018)
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 (2018)