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Ant Colony Optimization for Mining Gradual Patterns


Aug 31, 2022
Dickson Odhiambo Owuor, Thomas Runkler, Anne Laurent, Joseph Orero, Edmond Menya

* Int. J. Mach. Learn. & Cyber. 12, 2989--3009 (2021) 
* 35 pages, journal article 

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Neuro-symbolic computing with spiking neural networks


Aug 04, 2022
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas Runkler

* Accepted for publication at the International Conference on Neuromorphic Systems (ICONS) 2022 

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User-Interactive Offline Reinforcement Learning


May 21, 2022
Phillip Swazinna, Steffen Udluft, Thomas Runkler


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How to Manage Tiny Machine Learning at Scale: An Industrial Perspective


Feb 18, 2022
Haoyu Ren, Darko Anicic, Thomas Runkler

* Accepted by The 2022 tinyML Research Symposium 

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Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning


Jan 14, 2022
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas Runkler

* Submitted to IFAC Conference on Intelligent Control and Automation Sciences (ICONS)2022 

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Combining Sub-Symbolic and Symbolic Methods for Explainability


Dec 03, 2021
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler

* RuleML+RR 2021 

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Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning


Nov 26, 2021
Phillip Swazinna, Steffen Udluft, Thomas Runkler

* Accepted at IEEE SSCI 2021 

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Ontology-Based Skill Description Learning for Flexible Production Systems


Nov 25, 2021
Anna Himmelhuber, Stephan Grimm, Thomas Runkler, Sonja Zillner

* 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 

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Demystifying Graph Neural Network Explanations


Nov 25, 2021
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler

* [email protected]'21 

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Towards Data-Free Domain Generalization


Oct 25, 2021
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas Runkler, Volker Tresp

* Accepted at NeurIPS 2021 - DistShift Workshop 

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