Thomas A. Runkler

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 112

Top Venues

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Thomas A. Runkler
Einstein consistency of fuzzy preference relations. J. Intell. Fuzzy Syst. 46 (3) (2024)
Cuong Nhat Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas A. Runkler
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering. CoRR (2024)
Simon Eisenmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler
Model-based Offline Quantum Reinforcement Learning. CoRR (2024)
Yongjian Tang, Rakebul Hasan, Thomas A. Runkler
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios. CoRR (2024)
Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR (2024)
Haoyu Ren, Darko Anicic, Xue Li, Thomas A. Runkler
On-device Online Learning and Semantic Management of TinyML Systems. ACM Trans. Embed. Comput. Syst. 23 (4) (2024)
Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler
On-device Online Learning and Semantic Management of TinyML Systems. CoRR (2024)
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Lesley Bonyo
Clustering-based gradual pattern mining. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
TinyReptile: TinyML with Federated Meta-Learning. IJCNN (2023)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Automatic Trade-off Adaptation in Offline RL. CoRR (2023)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
User-Interactive Offline Reinforcement Learning. ICLR (2023)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Automatic Trade-off Adaptation in Offline RL. ESANN (2023)
Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler
TinyMetaFed: Efficient Federated Meta-Learning for TinyML. CoRR (2023)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
TinyReptile: TinyML with Federated Meta-Learning. CoRR (2023)
Thomas A. Runkler
A Convergence Study of the Possibilistic One Means Algorithm. FUZZ (2023)
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent
A metaheuristic approach for mining gradual patterns. Swarm Evol. Comput. 75 (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. 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)
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Orero, Edmond Odhiambo Menya
Ant Colony Optimization for Mining Gradual Patterns. CoRR (2022)
Thomas A. Runkler
Pareto Interval Type-2 Fuzzy Decision Making for Labeled Objects. FUZZ-IEEE (2022)
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. CoRR (2022)
Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. CoRR (2022)
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
Towards Data-Free Domain Generalization. ACML (2022)
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
Neuro-symbolic computing with spiking neural networks. ICONS (2022)
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent
A Metaheuristic Approach for Mining Gradual Patterns. CoRR (2022)
Haoyu Ren, Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. ISWC (2022)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
Towards Semantic Management of On-Device Applications in Industrial IoT. ACM Trans. Internet Techn. 22 (4) (2022)
Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler
Neuro-symbolic computing with spiking neural networks. CoRR (2022)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
User-Interactive Offline Reinforcement Learning. CoRR (2022)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective. CoRR (2022)
Thomas A. Runkler
PIU: risk-sensitive decision making using Pareto optimization of interval utilities induced by fuzzy preference relations. Soft Comput. 26 (1) (2022)
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
Behavior Constraining in Weight Space for Offline Reinforcement Learning. ESANN (2021)
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
Behavior Constraining in Weight Space for Offline Reinforcement Learning. CoRR (2021)
Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner
Ontology-Based Skill Description Learning for Flexible Production Systems. CoRR (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Overcoming model bias for robust offline deep reinforcement learning. Eng. Appl. Artif. Intell. 104 (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. SSCI (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. CoRR (2021)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT. CoRR (2021)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
TinyOL: TinyML with Online-Learning on Microcontrollers. CoRR (2021)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Demystifying Graph Neural Network Explanations. PKDD/ECML Workshops (1) (2021)
Hiba Arnout, Johanna Bronner, Thomas A. Runkler
Differentially Private Time Series Generation. ESANN (2021)
Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler
Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning. SSCI (2021)
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
Towards Data-Free Domain Generalization. CoRR (2021)
Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold
Learning through structure: towards deep neuromorphic knowledge graph embeddings. CoRR (2021)
Hiba Arnout, Johanna Bronner, Thomas A. Runkler
Evaluation of Generative Adversarial Networks for Time Series Data. IJCNN (2021)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
The synergy of complex event processing and tiny machine learning in industrial IoT. DEBS (2021)
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Combining Sub-symbolic and Symbolic Methods for Explainability. RuleML+RR (2021)
Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler
A New Concept for Explaining Graph Neural Networks. NeSy (2021)
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Combining Sub-Symbolic and Symbolic Methods for Explainability. CoRR (2021)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
Demystifying Graph Neural Network Explanations. CoRR (2021)
Haoyu Ren, Darko Anicic, Thomas A. Runkler
TinyOL: TinyML with Online-Learning on Microcontrollers. IJCNN (2021)
Hiba Arnout, Johanna Bronner, Thomas A. Runkler
ClaRe-GAN: Generation of Class-Specific Time Series. SSCI (2021)
Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Onderi Orero, Edmond Odhiambo Menya
Ant colony optimization for mining gradual patterns. Int. J. Mach. Learn. Cybern. 12 (10) (2021)
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze
TopicBERT for Energy Efficient Document Classification. CoRR (2020)
Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler
DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains. IJCNN (2020)
Daniel Hein, Steffen Limmer, Thomas A. Runkler
Interpretable Control by Reinforcement Learning. CoRR (2020)
Thomas A. Runkler
PrefMap: Visualization of fuzzy pairwise preference structures. J. Intell. Fuzzy Syst. 39 (3) (2020)
Hiba Arnout, Johannes Kehrer, Johanna Bronner, Thomas A. Runkler
Visual Evaluation of Generative Adversarial Networks for Time Series Data. CoRR (2020)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. Neurocomputing 416 (2020)
Thomas A. Runkler
Generalized Weak Transitivity of Preference. IPMU (1) (2020)
Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics. CoRR (2020)
Ivan Gocev, Stephan Grimm, Thomas A. Runkler
Supporting Skill-based Flexible Manufacturing with Symbolic AI Methods. IECON (2020)
Thomas A. Runkler, Chao Chen, Simon Coupland, Robert I. John
Comparing Intervals Using Type Reduction. FUZZ-IEEE (2020)
Anna Himmelhuber, Stephan Grimm, Thomas A. Runkler, Sonja Zillner
Ontology-Based Skill Description Learning for Flexible Production Systems. ETFA (2020)
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze
TopicBERT for Energy Efficient Document Classification. EMNLP (Findings) (2020)
Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze
Neural Topic Modeling with Continual Lifelong Learning. ICML (2020)
Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze
Neural Topic Modeling with Continual Lifelong Learning. CoRR (2020)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning. CoRR (2020)
Thomas A. Runkler
Canonical Fuzzy Preference Relations. IFSA/NAFIPS (2019)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
Generating interpretable reinforcement learning policies using genetic programming. GECCO (Companion) (2019)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
interpretable dynamics models for data-efficient reinforcement learning. ESANN (2019)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning. CoRR (2019)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Data Association with Gaussian Processes. ECML/PKDD (2) (2019)
Thomas A. Runkler, Chao Chen, Simon Coupland, Robert I. John
Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making. FUZZ-IEEE (2019)
Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. CoRR (2019)
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler
Neural Relation Extraction within and across Sentence Boundaries. AAAI (2019)
Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas A. Runkler, Hinrich Schütze
Neural Architectures for Fine-Grained Propaganda Detection in News. CoRR (2019)
Thomas A. Runkler, James C. Bezdek
Optimizing the C Index Using a Canonical Genetic Algorithm. EvoApplications (2019)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming. CoRR (2018)
Thomas A. Runkler, Chao Chen, Robert I. John
Type reduction operators for interval type-2 defuzzification. Inf. Sci. 467 (2018)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
Interpretable policies for reinforcement learning by genetic programming. Eng. Appl. Artif. Intell. 76 (2018)
Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler
Sensitivity analysis for predictive uncertainty. ESANN (2018)
Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler
Diagnostics of Trains with Semantic Diagnostics Rules. ILP (2018)
Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) (2018)
Thomas A. Runkler
Mapping Utilities to Transitive Preferences. IPMU (1) (2018)
Ivan Gocev, Stephan Grimm, Thomas A. Runkler
Explanation of Action Plans Through Ontologies. OTM Conferences (2) (2018)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Multimodal Deep Gaussian Processes. CoRR (2018)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian Alignments of Warped Multi-Output Gaussian Processes. NeurIPS (2018)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming. GECCO (Companion) (2018)
Wenlong Wu, James M. Keller, Thomas A. Runkler
Sequential Possibilistic One-Means Clustering with Dynamic Eta. FUZZ-IEEE (2018)
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas A. Runkler
Neural Relation Extraction Within and Across Sentence Boundaries. CoRR (2018)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian Alignments of Warped Multi-Output Gaussian Processes. CoRR (2017)
Daniel Hein, Steffen Udluft, Thomas A. Runkler
Interpretable Policies for Reinforcement Learning by Genetic Programming. CoRR (2017)
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences. CoRR (2017)
Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler
Semantic Rule-Based Equipment Diagnostics. ISWC (2) (2017)
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
Batch reinforcement learning on the industrial benchmark: First experiences. IJCNN (2017)
Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
A Benchmark Environment Motivated by Industrial Control Problems. CoRR (2017)
Gulnar Mehdi, Evgeny Kharlamov, Ognjen Savkovic, Guohui Xiao, Elem Güzel Kalayci, Sebastian Brandt, Ian Horrocks, Mikhail Roshchin, Thomas A. Runkler
SemDia: Semantic Rule-Based Equipment Diagnostics Tool. CIKM (2017)
Thomas A. Runkler, James M. Keller
Sequential possibilistic one-means clustering. FUZZ-IEEE (2017)
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies. Eng. Appl. Artif. Intell. 65 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas A. Runkler