Search Results - "Dold, Dominik"

Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks by Kungl, Akos F, Schmitt, Sebastian, Klähn, Johann, Müller, Paul, Baumbach, Andreas, Dold, Dominik, Kugele, Alexander, Müller, Eric, Koke, Christoph, Kleider, Mitja, Mauch, Christian, Breitwieser, Oliver, Leng, Luziwei, Gürtler, Nico, Güttler, Maurice, Husmann, Dan, Husmann, Kai, Hartel, Andreas, Karasenko, Vitali, Grübl, Andreas, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A

“…The massively parallel nature of biological information processing plays an important role due to its superiority in comparison to human-engineered computing…”
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Differentiable graph-structured models for inverse design of lattice materials by Dold, Dominik, Aranguren van Egmond, Derek

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Stochasticity from function — Why the Bayesian brain may need no noise by Dold, Dominik, Bytschok, Ilja, Kungl, Akos F., Baumbach, Andreas, Breitwieser, Oliver, Senn, Walter, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A.

“…An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a…”
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Relational representation learning with spike trains by Dold, Dominik

“…Relational representation learning has lately received an increase in interest due to its flexibility in modeling a variety of systems like interacting…”
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Relational representation learning with spike trains by Dold, Dominik

“…Relational representation learning has lately received an increase in interest due to its flexibility in modeling a variety of systems like interacting…”
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Evaluating the feasibility of interpretable machine learning for globular cluster detection by Dold, Dominik, Fahrion, Katja

“…A&A 663, A81 (2022) Extragalactic globular clusters (GCs) are important tracers of galaxy formation and evolution. Obtaining GC catalogues from photometric…”
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SpikE: spike-based embeddings for multi-relational graph data by Dold, Dominik, Garrido, Josep Soler

“…Despite the recent success of reconciling spike-based coding with the error backpropagation algorithm, spiking neural networks are still mostly applied to…”
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Machine learning on knowledge graphs for context-aware security monitoring by Garrido, Josep Soler, Dold, Dominik, Frank, Johannes

“…Machine learning techniques are gaining attention in the context of intrusion detection due to the increasing amounts of data generated by monitoring tools, as…”
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Continuous Design and Reprogramming of Totimorphic Structures for Space Applications by Dold, Dominik, Thomas, Amy, Rosi, Nicole, Grover, Jai, Izzo, Dario

“…Recently, a class of mechanical lattices with reconfigurable, zero-stiffness structures has been proposed, called Totimorphic structures. In this work, we…”
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Totimorphic structures for space application by Thomas, Amy, Grover, Jai, Izzo, Dario, Dold, Dominik

“…We propose to use a recently introduced Totimorphic metamaterial for constructing morphable space structures. As a first step to investigate the feasibility of…”
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Differentiable graph-structured models for inverse design of lattice materials by Dold, Dominik, van Egmond, Derek Aranguren

“…Cell Reports Physical Science 4, 101586, October 18, 2023 Architected materials possessing physico-chemical properties adaptable to disparate environmental…”
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Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods by Himmelhuber, Anna, Dold, Dominik, Grimm, Stephan, Zillner, Sonja, Runkler, Thomas

“…2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022) Machine learning (ML) on graph-structured data has recently received deepened interest in…”
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Selected Trends in Artificial Intelligence for Space Applications by Izzo, Dario, Meoni, Gabriele, Gómez, Pablo, Dold, Dominik, Zoechbauer, Alexander

“…The development and adoption of artificial intelligence (AI) technologies in space applications is growing quickly as the consensus increases on the potential…”
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Neuromorphic Computing and Sensing in Space by Izzo, Dario, Hadjiivanov, Alexander, Dold, Dominik, Meoni, Gabriele, Blazquez, Emmanuel

“…The term ``neuromorphic'' refers to systems that are closely resembling the architecture and/or the dynamics of biological neural networks. Typical examples…”
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An energy-based model for neuro-symbolic reasoning on knowledge graphs by Dold, Dominik, Garrido, Josep Soler

“…Machine learning on graph-structured data has recently become a major topic in industry and research, finding many exciting applications such as recommender…”
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Learning Through Structure: Towards Deep Neuromorphic Knowledge Graph Embeddings by Chian, Victor Caceres, Hildebrandt, Marcel, Runkler, Thomas, Dold, Dominik

“…Computing latent representations for graph-structured data is an ubiquitous learning task in many industrial and academic applications ranging from molecule…”
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Scalable Network Emulation on Analog Neuromorphic Hardware by Arnold, Elias, Spilger, Philipp, Straub, Jan V, Müller, Eric, Dold, Dominik, Meoni, Gabriele, Schemmel, Johannes

“…We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking…”
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An energy-based model for neuro-symbolic reasoning on knowledge graphs by Dold, Dominik, Garrido, Josep Soler

“…Machine learning on graph-structured data has recently become a major topic in industry and research, finding many exciting applications such as recommender…”
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Machine learning on knowledge graphs for context-aware security monitoring by Garrido, Josep Soler, Dold, Dominik, Frank, Johannes

“…Machine learning techniques are gaining attention in the context of intrusion detection due to the increasing amounts of data generated by monitoring tools, as…”
Get full text

SpikE: spike-based embeddings for multi-relational graph data by Dold, Dominik, Garrido, Josep Soler

“…Despite the recent success of reconciling spike-based coding with the error backpropagation algorithm, spiking neural networks are still mostly applied to…”
Get full text