Dr. Thomas Gabor

Dr. Thomas Gabor

Lehrstuhl für Mobile und Verteilte Systeme

Institut für Informatik
Ludwig-Maximilians-Universität München

Oettingenstraße 67
80538 München

Raum G 006

Telefon: +49 89 / 2180-9170

Fax: +49 89 / 2180-9148

Mail: thomas.gabor@ifi.lmu.de

Research Interests

  • Artificial Intelligence
  • Natural Computing
  • Optimization
  • Artificial Life
  • Evolutionary Algorithms
  • Quantum Computing
  • Software Engineering for Autonomous Systems
  • Formal Methods and System Theory

Publications

  • Maximilian Zorn, Steffen Illium, Thomy Phan, Tanja Katharina Kaiser, Claudia Linnhoff-Popien, and Thomas Gabor. Social Neural Network Soups with Surprise Minimization. In ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press, 2023.
    [BibTeX] [Download PDF] 
    @inproceedings{zorn2023social,
title={Social Neural Network Soups with Surprise Minimization},
author={Zorn, Maximilian and Illium, Steffen and Phan, Thomy and Kaiser, Tanja Katharina and Linnhoff-Popien, Claudia and Gabor, Thomas},
booktitle={ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference},
year={2023},
publisher={MIT Press},
url={https://direct.mit.edu/isal/proceedings-pdf/isal/35/65/2149250/isal_a_00671.pdf}
}
  • Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, and Sebastian Feld. Black Box Optimization Using QUBO and the Cross Entropy Method. In International Conference on Computational Science, page 48–55. Springer, 2023.
    [BibTeX] [Download PDF] 
    @inproceedings{nusslein2023black,
title={Black Box Optimization Using QUBO and the Cross Entropy Method},
author={N{\"u}{\ss}lein, Jonas and Roch, Christoph and Gabor, Thomas and Stein, Jonas and Linnhoff-Popien, Claudia and Feld, Sebastian},
booktitle={International Conference on Computational Science},
pages={48--55},
year={2023},
publisher={Springer},
url={https://arxiv.org/pdf/2206.12510}
}
  • Christoph Roch, Daniel Ratke, Jonas Nüßlein, Thomas Gabor, and Sebastian Feld. The Effect of Penalty Factors of Constrained Hamiltonians on the Eigenspectrum in Quantum Annealing. ACM Transactions on Quantum Computing, 4(2):1–18, 2023.
    [BibTeX] [Download PDF] 
    @article{roch2023effect,
title={The Effect of Penalty Factors of Constrained Hamiltonians on the Eigenspectrum in Quantum Annealing},
author={Roch, Christoph and Ratke, Daniel and N{\"u}{\ss}lein, Jonas and Gabor, Thomas and Feld, Sebastian},
journal={ACM Transactions on Quantum Computing},
volume={4},
number={2},
pages={1--18},
year={2023},
publisher={ACM New York, NY},
url={https://dl.acm.org/doi/pdf/10.1145/3577202}
}
  • Philipp Altmann, Thomy Phan, Fabian Ritz, Claudia Linnhoff-Popien, and Thomas Gabor. DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. In 2023 Adaptive and Learning Agents Workshop at AAMAS, 2023.
    [BibTeX] [Download PDF] 
    @inproceedings{altmanndirect,
title={DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training},
author={Altmann, Philipp and Phan, Thomy and Ritz, Fabian and Linnhoff-Popien, Claudia and Gabor, Thomas},
booktitle={2023 Adaptive and Learning Agents Workshop at AAMAS},
year={2023},
url={https://arxiv.org/pdf/2301.07421}
}
  • Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, and Claudia Linnhoff-Popien. Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), page 2839–2841, 2023.
    [BibTeX] [Download PDF] 
    @inproceedings{phan2023attention,
title={Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty},
author={Phan, Thomy and Ritz, Fabian and N{\"u}{\ss}lein, Jonas and K{\"o}lle, Michael and Gabor, Thomas and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
pages={2839--2841},
year={2023},
url={https://www.southampton.ac.uk/~eg/AAMAS2023/pdfs/p2839.pdf}
}
  • Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, and Claudia Linnhoff-Popien. A Relative Approach to Comparative Performance Analysis for Quantum Optimization. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation, page 2211–2215, 2023.
    [BibTeX] 
    @inproceedings{gabor2023relative,
title={A Relative Approach to Comparative Performance Analysis for Quantum Optimization},
author={Gabor, Thomas and Zielinski, Sebastian and Henghuber, Sofie and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the Companion Conference on Genetic and Evolutionary Computation},
pages={2211--2215},
year={2023}
}
  • Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, and Sebastian Feld. Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, page 2240–2246, 2022.
    [BibTeX] [Download PDF] 
    @inproceedings{nusslein2022algorithmic,
title={Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles},
author={N{\"u}{\ss}lein, Jonas and Gabor, Thomas and Linnhoff-Popien, Claudia and Feld, Sebastian},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={2240--2246},
year={2022},
url={https://arxiv.org/pdf/2204.13539}
}
  • Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, and Marc Geitz. Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART, pages 23-32. INSTICC, SciTePress, 2022.
    [BibTeX] [Download PDF] 
    @conference{muller2022solving,
title={Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion},
author={M{\"u}ller, Tobias and Schmid, Kyrill and Schuman, Dani{\"e}lle and Gabor, Thomas and Friedrich, Markus and Geitz, Marc},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={23-32},
publisher={SciTePress},
organization={INSTICC},
url={https://arxiv.org/pdf/2109.10617}
}
  • Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien, and Sebastian Feld. How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization. In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), page 1249–1257. IEEE, 2022.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2022approximate,
title={How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization},
author={Gabor, Thomas and Rosenfeld, Marian Lingsch and Linnhoff-Popien, Claudia and Feld, Sebastian},
booktitle={2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)},
pages={1249--1257},
year={2022},
publisher={IEEE},
url={https://arxiv.org/pdf/2204.11035}
}
  • Thomas Gabor, Steffen Illium, Maximilian Zorn, Cristian Lenta, Andy Mattausch, Lenz Belzner, and Claudia Linnhoff-Popien. Self-Replication in Neural Networks. Artificial Life, 28(2):205–223, 2022.
    [BibTeX] [Download PDF] 
    @article{gabor2022self,
title={Self-Replication in Neural Networks},
author={Gabor, Thomas and Illium, Steffen and Zorn, Maximilian and Lenta, Cristian and Mattausch, Andy and Belzner, Lenz and Linnhoff-Popien, Claudia},
journal={Artificial Life},
volume={28},
number={2},
pages={205--223},
year={2022},
publisher={MIT Press, Cambridge, Massachusetts},
url={https://direct.mit.edu/artl/article/28/2/205/111793}
}
  • Thomas Gabor, Marian Lingsch Rosenfeld, and Claudia Linnhoff-Popien. Simple Quantum State Encodings for Hybrid Programming of Quantum Simulators. In 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), page 170–173. IEEE, 2022.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2022simple,
title={Simple Quantum State Encodings for Hybrid Programming of Quantum Simulators},
author={Gabor, Thomas and Rosenfeld, Marian Lingsch and Linnhoff-Popien, Claudia},
booktitle={2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C)},
pages={170--173},
year={2022},
publisher={IEEE},
url={https://arxiv.org/pdf/2204.11042}
}
  • Thomas Gabor, Maximilian Zorn, and Claudia Linnhoff-Popien. The Applicability of Reinforcement Learning for the Automatic Generation of State Preparation Circuits. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, page 2196–2204, 2022.
    [BibTeX] 
    @inproceedings{gabor2022applicability,
title={The Applicability of Reinforcement Learning for the Automatic Generation of State Preparation Circuits},
author={Gabor, Thomas and Zorn, Maximilian and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={2196--2204},
year={2022}
}
  • Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, and Claudia Linnhoff-Popien. Modifying the Quantum-Assisted Genetic Algorithm. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, page 2205–2213, 2022.
    [BibTeX] 
    @inproceedings{gabor2022modifying,
title={Modifying the Quantum-Assisted Genetic Algorithm},
author={Gabor, Thomas and Lachner, Michael and Kraus, Nico and Roch, Christoph and Stein, Jonas and Ratke, Daniel and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={2205--2213},
year={2022}
}
  • Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, and Claudia Linnhoff-Popien. Case-Based Inverse Reinforcement Learning Using Temporal Coherence. In International Conference on Case-Based Reasoning, page 304–317. Springer, 2022.
    [BibTeX] [Download PDF] 
    @inproceedings{nusslein2022case,
title={Case-Based Inverse Reinforcement Learning Using Temporal Coherence},
author={N{\"u}{\ss}lein, Jonas and Illium, Steffen and M{\"u}ller, Robert and Gabor, Thomas and Linnhoff-Popien, Claudia},
booktitle={International Conference on Case-Based Reasoning},
pages={304--317},
year={2022},
publisher={Springer},
url={https://arxiv.org/pdf/2206.05827}
}
  • Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, and Thomas Gabor. Constructing Organism Networks from Collaborative Self-Replicators. In 2022 IEEE Symposium Series on Computational Intelligence (SSCI), page 1268–1275. IEEE, 2022.
    [BibTeX] [Download PDF] 
    @inproceedings{illium2022constructing,
title={Constructing Organism Networks from Collaborative Self-Replicators},
author={Illium, Steffen and Zorn, Maximilian and Lenta, Cristian and K{\"o}lle, Michael and Linnhoff-Popien, Claudia and Gabor, Thomas},
booktitle={2022 IEEE Symposium Series on Computational Intelligence (SSCI)},
pages={1268--1275},
year={2022},
publisher={IEEE},
url={https://arxiv.org/pdf/2212.10078}
}
  • Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, and Thomas Gabor. Capturing Dependencies Within Machine Learning via a Formal Process Model. In International Symposium on Leveraging Applications of Formal Methods, page 249–265. Springer, 2022.
    [BibTeX] [Download PDF] 
    @inproceedings{ritz2022capturing,
title={Capturing Dependencies Within Machine Learning via a Formal Process Model},
author={Ritz, Fabian and Phan, Thomy and Sedlmeier, Andreas and Altmann, Philipp and Wieghardt, Jan and Schmid, Reiner and Sauer, Horst and Klein, Cornel and Linnhoff-Popien, Claudia and Gabor, Thomas},
booktitle={International Symposium on Leveraging Applications of Formal Methods},
pages={249--265},
year={2022},
publisher={Springer},
url={https://arxiv.org/pdf/2208.05219}
}
  • Thomas Gabor, Thomy Phan, and Claudia Linnhoff-Popien. Productive Fitness in Diversity-Aware Evolutionary Algorithms. Natural Computing, 20(2), 2021.
    [BibTeX] [Download PDF] 
    @article{gabor2021productive,
author={Gabor, Thomas and Phan, Thomy and Linnhoff-Popien, Claudia},
title={Productive Fitness in Diversity-Aware Evolutionary Algorithms},
journal={Natural Computing},
year=2021,
volume=20,
number=2,
publisher={Springer},
url={https://link.springer.com/content/pdf/10.1007/s11047-021-09853-3.pdf}
}
  • Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein, and Claudia Linnhoff-Popien. Specification Aware Multi-Agent Reinforcement Learning. In International Conference on Agents and Artificial Intelligence, page 3–21. Springer, 2021.
    [BibTeX] 
    @inproceedings{ritz2021specification,
title={Specification Aware Multi-Agent Reinforcement Learning},
author={Ritz, Fabian and Phan, Thomy and M{\"u}ller, Robert and Gabor, Thomas and Sedlmeier, Andreas and Zeller, Marc and Wieghardt, Jan and Schmid, Reiner and Sauer, Horst and Klein, Cornel and Linnhoff-Popien, Claudia},
booktitle={International Conference on Agents and Artificial Intelligence},
pages={3--21},
year={2021},
publisher={Springer}
}
  • Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, and Claudia Linnhoff-Popien. Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, page 11308–11316, 2021.
    [BibTeX] [Download PDF] 
    @inproceedings{phan2021resilient,
title={Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition},
author={Phan, Thomy and Belzner, Lenz and Gabor, Thomas and Sedlmeier, Andreas and Ritz, Fabian and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={35},
number={13},
pages={11308--11316},
year={2021},
url={https://cdn.aaai.org/ojs/17348/17348-13-20842-1-2-20210518.pdf}
}
  • Thomas Gabor. Self-Adaptive Fitness in Evolutionary Processes. PhD thesis, LMU Munich, 2021.
    [BibTeX] [Download PDF] 
    @phdthesis{gabor2021self,
title={Self-Adaptive Fitness in Evolutionary Processes},
author={Gabor, Thomas},
year={2021},
school={LMU Munich},
url={https://edoc.ub.uni-muenchen.de/28784/7/Gabor_Thomas.pdf}
}
  • Thomas Gabor, Steffen Illium, Maximilian Zorn, and Claudia Linnhoff-Popien. Goals for Self-Replicating Neural Networks. In ALIFE 2022: The 2022 Conference on Artificial Life. MIT Press, 2021.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2021goals,
title={Goals for Self-Replicating Neural Networks},
author={Gabor, Thomas and Illium, Steffen and Zorn, Maximilian and Linnhoff-Popien, Claudia},
booktitle={ALIFE 2022: The 2022 Conference on Artificial Life},
year={2021},
publisher={MIT Press},
url={https://direct.mit.edu/isal/proceedings-pdf/isal2021/33/101/1929825/isal_a_00439.pdf}
}
  • Thomas Gabor, Marian Lingsch Rosenfeld, and Claudia Linnhoff-Popien. A Probabilistic Game of Life on a Quantum Annealer. In ALIFE 2021: The 2021 Conference on Artificial Life. MIT Press, 2021.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2021probabilistic,
title={A Probabilistic Game of Life on a Quantum Annealer},
author={Gabor, Thomas and Rosenfeld, Marian Lingsch and Linnhoff-Popien, Claudia},
booktitle={ALIFE 2021: The 2021 Conference on Artificial Life},
year={2021},
publisher={MIT Press},
url={https://direct.mit.edu/isal/proceedings-pdf/isal2021/33/103/1930016/isal_a_00441.pdf}
}
  • Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, and Claudia Linnhoff-Popien. Vast: Value function factorization with variable agent sub-teams. Advances in Neural Information Processing Systems, 34:24018–24032, 2021.
    [BibTeX] [Download PDF] 
    @article{phan2021vast,
title={Vast: Value function factorization with variable agent sub-teams},
author={Phan, Thomy and Ritz, Fabian and Belzner, Lenz and Altmann, Philipp and Gabor, Thomas and Linnhoff-Popien, Claudia},
journal={Advances in Neural Information Processing Systems},
volume={34},
pages={24018--24032},
year={2021},
url={https://proceedings.neurips.cc/paper_files/paper/2021/file/c97e7a5153badb6576d8939469f58336-Paper.pdf}
}
  • Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, and Claudia Linnhoff-Popien. Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. In ICAART (1), page 144–151, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{schmid2020multi,
title={Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information},
author={Schmid, Kyrill and Belzner, Lenz and Phan, Thomy and Gabor, Thomas and Linnhoff-Popien, Claudia},
booktitle={ICAART (1)},
pages={144--151},
year={2020},
url={https://www.researchgate.net/profile/Lenz_Belzner/publication/339908540_Multi-agent_Reinforcement_Learning_for_Bargaining_under_Risk_and_Asymmetric_Information/links/5e71f770a6fdcc37caf35417/Multi-agent-Reinforcement-Learning-for-Bargaining-under-Risk-and-Asymmetric-Information.pdf}
}
  • Thomas Gabor, Andreas Sedlmeier, Thomy Phan, Fabian Ritz, Marie Kiermeier, Lenz Belzner, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, and others. The Scenario Coevolution Paradigm: Adaptive Quality Assurance for Adaptive Systems. International Journal on Software Tools for Technology Transfer, page 1–20, 2020.
    [BibTeX] [Download PDF] 
    @article{gabor2020scenario,
title={The Scenario Coevolution Paradigm: Adaptive Quality Assurance for Adaptive Systems},
author={Gabor, Thomas and Sedlmeier, Andreas and Phan, Thomy and Ritz, Fabian and Kiermeier, Marie and Belzner, Lenz and Kempter, Bernhard and Klein, Cornel and Sauer, Horst and Schmid, Reiner and others},
journal={International Journal on Software Tools for Technology Transfer},
pages={1--20},
year={2020},
publisher={Springer},
url={https://link.springer.com/content/pdf/10.1007/s10009-020-00560-5.pdf}
}
  • Thomas Gabor, Sebastian Zielinski, Christoph Roch, Sebastian Feld, and Claudia Linnhoff-Popien. The UQ Platform: A Unifed Approach To Quantum Annealing. In 2020 5th International Conference on Computer and Communication Systems (ICCCS), page 115–119. IEEE, 2020.
    [BibTeX] 
    @inproceedings{gabor2020uq,
title={The UQ Platform: A Unifed Approach To Quantum Annealing},
author={Gabor, Thomas and Zielinski, Sebastian and Roch, Christoph and Feld, Sebastian and Linnhoff-Popien, Claudia},
booktitle={2020 5th International Conference on Computer and Communication Systems (ICCCS)},
pages={115--119},
year={2020},
publisher={IEEE}
}
  • Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, Jan Wieghardt, Marc Zeller, and Claudia Linnhoff-Popien. Learning and Testing Resilience in Cooperative Multi-Agent Systems. In Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems, page 1055–1063, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{phan2020learning,
title={Learning and Testing Resilience in Cooperative Multi-Agent Systems},
author={Phan, Thomy and Gabor, Thomas and Sedlmeier, Andreas and Ritz, Fabian and Kempter, Bernhard and Klein, Cornel and Sauer, Horst and Schmid, Reiner and Wieghardt, Jan and Zeller, Marc and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems},
pages={1055--1063},
year={2020},
url={http://ifaamas.org/Proceedings/aamas2020/pdfs/p1055.pdf}
}
  • Irmi Sax, Sebastian Feld, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, and Wolfgang Mauerer. Approximate Approximation on a Quantum Annealer. In Proceedings of the 17th ACM International Conference on Computing Frontiers, page 108–117, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{sax2020approximate,
title={Approximate Approximation on a Quantum Annealer},
author={Sax, Irmi and Feld, Sebastian and Zielinski, Sebastian and Gabor, Thomas and Linnhoff-Popien, Claudia and Mauerer, Wolfgang},
booktitle={Proceedings of the 17th ACM International Conference on Computing Frontiers},
pages={108--117},
year={2020},
url={https://arxiv.org/pdf/2004.09267.pdf}
}
  • Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier, Aritra Sarkar, Thomas Gabor, and Koen Bertels. Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. In 2020 21st International Symposium on Quality Electronic Design (ISQED), page 329–334. IEEE, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{hubregtsen2020integration,
title={Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions},
author={Hubregtsen, Thomas and Segler, Christoph and Pichlmeier, Josef and Sarkar, Aritra and Gabor, Thomas and Bertels, Koen},
booktitle={2020 21st International Symposium on Quality Electronic Design (ISQED)},
pages={329--334},
year={2020},
publisher={IEEE}, url={https://www.researchgate.net/profile/Thomas_Hubregtsen/publication/337916817_Integration_and_Evaluation_of_Quantum_Accelerators_for_Data-Driven_User_Functions/links/5df3aa1892851c83647a41f0/Integration-and-Evaluation-of-Quantum-Accelerators-for-Data-Driven-User-Functions.pdf}
}
  • Sebastian Feld, Christoph Roch, Thomas Gabor, Xiao-Ting Michelle To, and Claudia Linnhoff-Popien. The Dynamic Time Warping Distance Measure as QUBO Formulation. In 2020 5th International Conference on Computer and Communication Systems (ICCCS), page 946–950. IEEE, 2020.
    [BibTeX] 
    @inproceedings{feld2020dynamic,
title={The Dynamic Time Warping Distance Measure as QUBO Formulation},
author={Feld, Sebastian and Roch, Christoph and Gabor, Thomas and To, Xiao-Ting Michelle and Linnhoff-Popien, Claudia},
booktitle={2020 5th International Conference on Computer and Communication Systems (ICCCS)},
pages={946--950},
year={2020},
publisher={IEEE}
}
  • Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, and Claudia Linnhoff-Popien. The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. In First International Workshop on Quantum Software Engineering (Q-SE 2020), 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2020holy,
title={The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline},
author={Gabor, Thomas and S{\"u}nkel, Leo and Ritz, Fabian and Phan, Thomy and Belzner, Lenz and Roch, Christoph and Feld, Sebastian and Linnhoff-Popien, Claudia},
booktitle={First International Workshop on Quantum Software Engineering (Q-SE 2020)},
year={2020},
url={https://arxiv.org/pdf/2004.14035.pdf}
}
  • Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Carsten Hahn, and Claudia Linnhoff-Popien. A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. In International Conference on Computational Science, page 488–501. Springer, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{roch2020quantum,
title={A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games},
author={Roch, Christoph and Phan, Thomy and Feld, Sebastian and M{\"u}ller, Robert and Gabor, Thomas and Hahn, Carsten and Linnhoff-Popien, Claudia},
booktitle={International Conference on Computational Science},
pages={488--501},
year={2020},
publisher={Springer},
url={https://link.springer.com/content/pdf/10.1007%2F978-3-030-50433-5_38.pdf}
}
  • Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, and Claudia Linnhoff-Popien. Foraging Swarms using Multi-Agent Reinforcement Learning. In Artificial Life Conference Proceedings, page 333–340. MIT Press, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{hahn2020foraging,
title={Foraging Swarms using Multi-Agent Reinforcement Learning},
author={Hahn, Carsten and Ritz, Fabian and Wikidal, Paula and Phan, Thomy and Gabor, Thomas and Linnhoff-Popien, Claudia},
booktitle={Artificial Life Conference Proceedings},
pages={333--340},
year={2020},
publisher={MIT Press},
url={https://www.mitpressjournals.org/doi/pdfplus/10.1162/isal_a_00267}
}
  • Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn, and Claudia Linnhoff-Popien. Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting. In Artificial Life Conference Proceedings, page 518–525. MIT Press, 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{ritz2020towards,
title={Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting},
author={Ritz, Fabian and Hohnstein, Felix and M{\"u}ller, Robert and Phan, Thomy and Gabor, Thomas and Hahn, Carsten and Linnhoff-Popien, Claudia},
booktitle={Artificial Life Conference Proceedings},
pages={518--525},
year={2020},
publisher={MIT Press},
url={https://www.mitpressjournals.org/doi/pdf/10.1162/isal_a_00273}
}
  • Thomas Gabor and Claudia Linnhoff-Popien. A Formal Model for Reasoning about the Ideal Fitness in Evolutionary Processes. In International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2020.
    [BibTeX] 
    @inproceedings{gabor2020formal,
title={A Formal Model for Reasoning about the Ideal Fitness in Evolutionary Processes},
author={Thomas Gabor and Claudia Linnhoff-Popien},
booktitle={International Symposium on Leveraging Applications of Formal Methods (ISoLA)},
year={2020}
}
  • Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, and Claudia Linnhoff-Popien. Insights on Training Neural Networks for QUBO Tasks. In First International Workshop on Quantum Software Engineering (Q-SE 2020), 2020.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2020insights,
title={Insights on Training Neural Networks for QUBO Tasks},
author={Gabor, Thomas and Feld, Sebastian and Safi, Hila and Phan, Thomy and Linnhoff-Popien, Claudia},
booktitle={First International Workshop on Quantum Software Engineering (Q-SE 2020)},
year={2020},
url={https://arxiv.org/pdf/2004.14036.pdf}
}
  • Thomas Gabor, Steffen Illium, Andy Mattausch, Lenz Belzner, and Claudia Linnhoff-Popien. Self-Replication in Neural Networks. In Artificial Life Conference Proceedings, page 424–431. MIT Press, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2019self,
title={Self-Replication in Neural Networks},
author={Gabor, Thomas and Illium, Steffen and Mattausch, Andy and Belzner, Lenz and Linnhoff-Popien, Claudia},
booktitle={Artificial Life Conference Proceedings},
pages={424--431},
year={2019},
publisher={MIT Press},
url={https://direct.mit.edu/isal/proceedings/isal2019/31/424/99154}
}
  • Thomas Gabor, Sebastian Zielinski, Sebastian Feld, Christoph Roch, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, and Claudia Linnhoff-Popien. Assessing Solution Quality of 3SAT on a Quantum Annealing Platform. In International Workshop on Quantum Technology and Optimization Problems. Springer, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2019assessing,
title={Assessing Solution Quality of 3SAT on a Quantum Annealing Platform},
author={Gabor, Thomas and Zielinski, Sebastian and Feld, Sebastian and Roch, Christoph and Seidel, Christian and Neukart, Florian and Galter, Isabella and Mauerer, Wolfgang and Linnhoff-Popien, Claudia},
booktitle={International Workshop on Quantum Technology and Optimization Problems},
year={2019},
publisher={Springer},
url={https://arxiv.org/pdf/1902.04703.pdf}
}
  • Sebastian Feld, Christoph Roch, Thomas Gabor, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, and Claudia Linnhoff-Popien. A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer. Frontiers in ICT, 6:13, 2019.
    [BibTeX] [Download PDF] 
    @article{feld2019hybrid,
title={A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer},
author={Feld, Sebastian and Roch, Christoph and Gabor, Thomas and Seidel, Christian and Neukart, Florian and Galter, Isabella and Mauerer, Wolfgang and Linnhoff-Popien, Claudia},
journal={Frontiers in ICT},
volume={6},
pages={13},
year={2019},
publisher={Frontiers},
url={https://www.frontiersin.org/articles/10.3389/fict.2019.00013/full}
}
  • Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, and Claudia Linnhoff-Popien. Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, page 2162–2164, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{phan2019distributed,
title={Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies},
author={Phan, Thomy and Schmid, Kyrill and Belzner, Lenz and Gabor, Thomas and Feld, Sebastian and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems},
pages={2162--2164},
year={2019},
url={http://www.ifaamas.org/Proceedings/aamas2019/pdfs/p2162.pdf}
}
  • Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, and Claudia Linnhoff-Popien. Optimizing Evolutionary CSG Tree Extraction. In Proceedings of the Genetic and Evolutionary Computation Conference, page 1183–1191, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{friedrich2019optimizing,
title={Optimizing Evolutionary CSG Tree Extraction},
author={Friedrich, Markus and Fayolle, Pierre-Alain and Gabor, Thomas and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
pages={1183--1191},
year={2019},
url={https://www.researchgate.net/profile/Markus_Friedrich7/publication/333448252_Optimizing_Evolutionary_CSG_Tree_Extraction/links/5e7b58a8299bf1f3874007e6/Optimizing-Evolutionary-CSG-Tree-Extraction.pdf}
}
  • Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, and Claudia Linnhoff-Popien. Emergent Escape-Based Flocking Behavior Using Multi-Agent Reinforcement Learning. In Artificial Life Conference Proceedings, page 598–605. MIT Press, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{hahn2019emergent,
title={Emergent Escape-Based Flocking Behavior Using Multi-Agent Reinforcement Learning},
author={Hahn, Carsten and Phan, Thomy and Gabor, Thomas and Belzner, Lenz and Linnhoff-Popien, Claudia},
booktitle={Artificial Life Conference Proceedings},
pages={598--605},
year={2019},
publisher={MIT Press},
url={https://www.mitpressjournals.org/doi/pdf/10.1162/isal_a_00226}
}
  • Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, and Claudia Linnhoff-Popien. Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, page 5607–5613. AAAI Press, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{phan2019adaptive,
title={Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning},
author={Phan, Thomy and Gabor, Thomas and M{\"u}ller, Robert and Roch, Christoph and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the 28th International Joint Conference on Artificial Intelligence},
pages={5607--5613},
year={2019},
publisher={AAAI Press},
url={https://arxiv.org/pdf/1907.05861.pdf}
}
  • Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, and Jan Wieghardt. Scenario Co-Evolution for Reinforcement Learning on a Grid World Smart Factory Domain. In Proceedings of the Genetic and Evolutionary Computation Conference, page 898–906, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2019scenario,
title={Scenario Co-Evolution for Reinforcement Learning on a Grid World Smart Factory Domain},
author={Gabor, Thomas and Sedlmeier, Andreas and Kiermeier, Marie and Phan, Thomy and Henrich, Marcel and Pichlmair, Monika and Kempter, Bernhard and Klein, Cornel and Sauer, Horst and Schmid, Reiner and Wieghardt, Jan},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
pages={898--906},
year={2019},
url={https://www.researchgate.net/profile/Thomy_Phan/publication/334209233_Scenario_co-evolution_for_reinforcement_learning_on_a_grid_world_smart_factory_domain/links/5d26f5aa299bf1547cab91be/Scenario-co-evolution-for-reinforcement-learning-on-a-grid-world-smart-factory-domain.pdf}
}
  • Thomas Gabor and Philipp Altmann. Benchmarking Surrogate-Assisted Genetic Recommender Systems. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, page 1568–1575, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2019benchmarking,
title={Benchmarking Surrogate-Assisted Genetic Recommender Systems},
author={Gabor, Thomas and Altmann, Philipp},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion},
pages={1568--1575},
year={2019},
url={https://arxiv.org/pdf/1908.02880.pdf}
}
  • Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, and Claudia Linnhoff-Popien. Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, page 5562–5568. AAAI Press, 2019.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2019subgoal,
title={Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search},
author={Gabor, Thomas and Peter, Jan and Phan, Thomy and Meyer, Christian and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the 28th International Joint Conference on Artificial Intelligence},
pages={5562--5568},
year={2019},
publisher={AAAI Press},
url={https://www.ijcai.org/Proceedings/2019/0772.pdf}
}
  • Thomas Gabor, Lenz Belzner, Thomy Phan, and Kyrill Schmid. Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. In 15th IEEE International Conference on Autonomic Computing (ICAC), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2018preparing,
author = {Thomas Gabor and Lenz Belzner and Thomy Phan and Kyrill Schmid},
title = {Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms},
booktitle = {15th IEEE International Conference on Autonomic Computing (ICAC)},
year = {2018},
url = {https://arxiv.org/pdf/1810.12483.pdf}
}
  • Thomas Gabor, Marie Kiermeier, and Lenz Belzner. Don’t Lose Control, Stay up to Date: Automated Runtime Quality Engineering. In Digital Marketplaces Unleashed. Springer, 2018.
    [BibTeX] 
    @incollection{gabor2018dont,
author = {Thomas Gabor and Marie Kiermeier and Lenz Belzner},
title = {Don't Lose Control, Stay up to Date: Automated Runtime Quality Engineering},
booktitle = {Digital Marketplaces Unleashed},
publisher = {Springer},
year = {2018}
}
  • Thomy Phan, Lenz Belzner, Thomas Gabor, and Kyrill Schmid. Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. In 17th Conference on Autonomous Agents and Multi Agent Systems (AAMAS), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{phan2018leveraging,
author = {Thomy Phan and Lenz Belzner and Thomas Gabor and Kyrill Schmid},
title = {Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation},
booktitle = {17th Conference on Autonomous Agents and Multi Agent Systems (AAMAS)},
year = {2018},
url = {https://arxiv.org/pdf/1804.06311.pdf}
}
  • Thomas Gabor, Lenz Belzner, and Claudia Linnhoff-Popien. Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms. In The Genetic and Evolutionary Computation Conference (GECCO), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2018inheritance,
author = {Thomas Gabor and Lenz Belzner and Claudia Linnhoff-Popien},
title = {Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms},
booktitle = {The Genetic and Evolutionary Computation Conference (GECCO)},
year = {2018},
url = {https://arxiv.org/pdf/1810.12470.pdf}
}
  • Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, and Martin Wirsing. The Sharer’s Dilemma in Collective Adaptive Systems of Self-Interested Agents. In International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{belzner2018sharers,
title={The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents},
author={Lenz Belzner and Kyrill Schmid and Thomy Phan and Thomas Gabor and Martin Wirsing},
booktitle={International Symposium on Leveraging Applications of Formal Methods (ISoLA)},
year={2018},
url={https://arxiv.org/pdf/1804.10781.pdf}
}
  • Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, and Claudia Linnhoff-Popien. Risk-Sensitivity in Simulation Based Online Planning. In KI 2018: Advances in Artificial Intelligence – 41st German Conference on AI, 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{schmid2018risk,
author = {Kyrill Schmid and Lenz Belzner and Marie Kiermeier and Alexander Neitz and Thomy Phan and Thomas Gabor and Claudia Linnhoff-Popien},
title = {Risk-Sensitivity in Simulation Based Online Planning},
booktitle = {{KI} 2018: Advances in Artificial Intelligence - 41st German Conference
on AI},
year = {2018},
url={https://www.researchgate.net/profile/Lenz_Belzner/publication/327313847_Risk-Sensitivity_in_Simulation_Based_Online_Planning_41st_German_Conference_on_AI_Berlin_Germany_September_24-28_2018_Proceedings/links/5bb9c567299bf1049b70f51c/Risk-Sensitivity-in-Simulation-Based-Online-Planning-41st-German-Conference-on-AI-Berlin-Germany-September-24-28-2018-Proceedings.pdf}
}
  • Kyrill Schmid, Lenz Belzner, Thomas Gabor, and Thomy Phan. Action Markets in Deep Multi-Agent Reinforcement Learning. In 27th International Conference on Artificial Neural Networks and Machine Learning (ICANN), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{schmid2018action,
author = {Kyrill Schmid and Lenz Belzner and Thomas Gabor and Thomy Phan},
title = {Action Markets in Deep Multi-Agent Reinforcement Learning},
booktitle = {27th International Conference on Artificial Neural Networks and Machine Learning ({ICANN})},
year = {2018},
url = {https://www.researchgate.net/profile/Lenz_Belzner/publication/327879531_Action_Markets_in_Deep_Multi-Agent_Reinforcement_Learning_27th_International_Conference_on_Artificial_Neural_Networks_Rhodes_Greece_October_4-7_2018_Proceedings_Part_II/links/5bb70efb299bf1049b6f86b6/Action-Markets-in-Deep-Multi-Agent-Reinforcement-Learning-27th-International-Conference-on-Artificial-Neural-Networks-Rhodes-Greece-October-4-7-2018-Proceedings-Part-II.pdf}
}
  • André Reichstaller, Thomas Gabor, and Alexander Knapp. Mutation-Based Test Suite Evolution for Self-Organizing Systems. In International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{reichstaller2018mutation,
title={Mutation-Based Test Suite Evolution for Self-Organizing Systems},
author={Andr\'{e} Reichstaller and Thomas Gabor and Alexander Knapp},
booktitle={International Symposium on Leveraging Applications of Formal Methods (ISoLA)},
year={2018},
url={https://www.researchgate.net/profile/Andre_Reichstaller/publication/326850695_Mutation-based_Test_Suite_Evolution_for_Self-Organizing_Systems/links/5b69731d45851546c9f69632/Mutation-based-Test-Suite-Evolution-for-Self-Organizing-Systems.pdf}
}
  • Thomas Gabor, Marie Kiermeier, Andreas Sedlmeier, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, and Jan Wieghardt. Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm. In International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2018.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2018adapting,
title={Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm},
author={Thomas Gabor and Marie Kiermeier and Andreas Sedlmeier and Bernhard Kempter and Cornel Klein and Horst Sauer and Reiner Schmid and Jan Wieghardt},
booktitle={International Symposium on Leveraging Applications of Formal Methods (ISoLA)},
year={2018},
url={https://arxiv.org/pdf/1902.04694.pdf}
}
  • Thomas Gabor and Lenz Belzner. Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms. In Measuring and Promoting Diversity in Evolutionary Algorithms (MPDEA@GECCO). ACM, 2017.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2017genealogical,
author = {Thomas Gabor and Lenz Belzner},
title = {Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms},
booktitle = "{Measuring and Promoting Diversity in Evolutionary Algorithms (MPDEA@GECCO)}",
publisher = {ACM},
year = {2017},
url = {https://arxiv.org/pdf/1704.08774.pdf}
}
  • Lenz Belzner and Thomas Gabor. Stacked Thompson Bandits. In 3rd IEEE/ACM International Workshop on Software Engineering for Smart Cyber-Physical Systems, SEsCPS@ICSE, 2017.
    [BibTeX] [Download PDF] 
    @inproceedings{belzner2017stacked,
author = {Lenz Belzner and Thomas Gabor},
title = {Stacked Thompson Bandits},
booktitle = "{3rd {IEEE/ACM} International Workshop on Software Engineering for Smart Cyber-Physical Systems, SEsCPS@ICSE}",
year = {2017},
url = {https://arxiv.org/pdf/1702.08726.pdf}
}
  • Lenz Belzner and Thomas Gabor. Bayesian Verification under Model Uncertainty. In 3rd IEEE/ACM International Workshop on Software Engineering for Smart Cyber-Physical Systems, SEsCPS@ICSE, 2017.
    [BibTeX] [Download PDF] 
    @inproceedings{belzner2017bayesian,
author = {Lenz Belzner and Thomas Gabor},
title = {Bayesian Verification under Model Uncertainty},
booktitle = "{3rd {IEEE/ACM} International Workshop on Software Engineering for Smart Cyber-Physical Systems, SEsCPS@ICSE}",
year = {2017},
url = {https://arxiv.org/pdf/1702.08725.pdf}
}
  • Tomas Bures, Danny Weyns, Bradley Schmer, Eduardo Tovar, Eric Boden, Thomas Gabor, Ilias Gerostathopoulos, Pragya Gupta, Eunsuk Kang, Alessia Knauss, Pankesh Patel, Awais Rashid, Ivan Ruchkin, Roykrong Sukkerd, and Christos Tsigkanos. Software engineering for smart cyber-physical systems: challenges and promising solutions. ACM SIGSOFT Software Engineering Notes, 2017.
    [BibTeX] [Download PDF] 
    @article{bures2017software,
title={Software engineering for smart cyber-physical systems: challenges and promising solutions},
author={Bures, Tomas and Weyns, Danny and Schmer, Bradley and Tovar, Eduardo and Boden, Eric and Gabor, Thomas and Gerostathopoulos, Ilias and Gupta, Pragya and Kang, Eunsuk and Knauss, Alessia and Patel, Pankesh and Rashid, Awais and Ruchkin, Ivan and Sukkerd, Roykrong and Tsigkanos, Christos},
journal={ACM SIGSOFT Software Engineering Notes},
year={2017},
publisher={ACM},
url={https://www.cs.cmu.edu/~iruchkin/docs/bures17-software.pdf}
}
  • Matthias Hölzl and Thomas Gabor. Continuous Collaboration for Changing Environments. In Transactions on Foundations for Mastering Change, Volume 1 (FoMAC). Springer, 2016.
    [BibTeX] 
    @incollection{hoelzl2016continuous,
author = {Matthias H{\"{o}}lzl and Thomas Gabor},
title = {Continuous Collaboration for Changing Environments},
booktitle = "{Transactions on Foundations for Mastering Change, Volume 1 (FoMAC)}",
publisher = {Springer},
year = {2016}
}
  • Thomas Gabor, Lenz Belzner, Marie Kiermeier, Michael Till Beck, and Alexander Neitz. A Simulation-Based Architecture for Smart Cyber-Physical Systems. In The International Workshop on Models@run.time for Self-Aware Computing Systems, 2016.
    [BibTeX] [Download PDF] 
    @inproceedings{gabor2016simulation,
author = {Thomas Gabor and Lenz Belzner and Marie Kiermeier and Michael Till Beck and Alexander Neitz},
title = {A Simulation-Based Architecture for Smart Cyber-Physical Systems},
booktitle = "{The International Workshop on Models@run.time for Self-Aware Computing Systems}",
year = {2016},
url={https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7573168}
}
  • Lenz Belzner and Thomas Gabor. QoS-Aware Multi-armed Bandits. In Third Edition of the IEEE Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO), 2016.
    [BibTeX] [Download PDF] 
    @inproceedings{belzner2016qosaware,
author = {Lenz Belzner and Thomas Gabor},
title = {QoS-Aware Multi-armed Bandits},
booktitle = "{Third Edition of the IEEE Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO)}",
year = {2016},
url = {https://arxiv.org/pdf/1703.10669.pdf}
}
  • Lenz Belzner, Michael Till Beck, Thomas Gabor, Harald Roelle, and Horst Sauer. Software Engineering for Distributed Autonomous Real-Time Systems. In 2nd International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS@ICSE), 2016.
    [BibTeX] [Download PDF] 
    @inproceedings{belzner2016software,
author = {Lenz Belzner and Michael Till Beck and Thomas Gabor and Harald Roelle and Horst Sauer},
title = {Software Engineering for Distributed Autonomous Real-Time Systems},
booktitle = "{2nd International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS@ICSE)}",
year = {2016},
url = {https://www.researchgate.net/profile/Lenz_Belzner/publication/303515222_Software_engineering_for_distributed_autonomous_real-time_systems/links/5be5ab4392851c6b27b28679/Software-engineering-for-distributed-autonomous-real-time-systems.pdf}
}
  • Tomas Bures, Danny Weyns, Christian Berger, Stefan Biffl, Marian Daun, Thomas Gabor, David Garlan, Ilias Gerostathopoulos, Christine Julien, Filip Krikava, Richard Mordinyi, and Nikos Pronios. Software Engineering for Smart Cyber-Physical Systems–Towards a Research Agenda: Report on the First International Workshop on Software Engineering for Smart CPS. ACM SIGSOFT Software Engineering Notes, 2015.
    [BibTeX] [Download PDF] 
    @article{bures2015software,
title={Software Engineering for Smart Cyber-Physical Systems--Towards a Research Agenda: Report on the First International Workshop on Software Engineering for Smart CPS},
author={Bures, Tomas and Weyns, Danny and Berger, Christian and Biffl, Stefan and Daun, Marian and Gabor, Thomas and Garlan, David and Gerostathopoulos, Ilias and Julien, Christine and Krikava, Filip and Mordinyi, Richard and Pronios, Nikos},
journal={ACM SIGSOFT Software Engineering Notes},
year={2015},
publisher={ACM},
url={https://iliasger.github.io/pubs/2015-SIGSOFT-notes-sCPS.pdf}
}
  • Matthias Hölzl and Thomas Gabor. Reasoning and Learning for Awareness and Adaptation. In Software Engineering for Collective Autonomic Systems – The ASCENS Approach. Springer, 2015.
    [BibTeX] 
    @incollection{hoelzl2015reasoning,
author = {Matthias H{\"{o}}lzl and Thomas Gabor},
title = {Reasoning and Learning for Awareness and Adaptation},
booktitle = {Software Engineering for Collective Autonomic Systems - The {ASCENS} Approach},
publisher = {Springer},
year = {2015}
}
  • Matthias Hölzl and Thomas Gabor. Continuous Collaboration: A Case Study on the Development of an Adaptive Cyber-Physical System. In 1st International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS@ICSE), 2015.
    [BibTeX] 
    @inproceedings{hoelzl2015continuous,
author = {Matthias H{\"{o}}lzl and Thomas Gabor},
title = {Continuous Collaboration: A Case Study on the Development of an Adaptive Cyber-Physical System},
booktitle = "{1st International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS@ICSE)}",
year = {2015}
}

Talks

  • Preparing for the Quantum Age (but Profiting Earlier). Industrial use cases by PlanQK & Bayern Innovativ, Quantum Computing @ World of Quantum 2023.
    [Link] [Download PDF]
  • Panel Discussion: On the Borderline between Collective Stupidity and Collective Intelligence. International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA) 2022, with Tomáš Bureš, Tatjana Petrov, Joseph Sifakis, Franco Zambonelli, Stefan Jähnichen (moderator).
    [Link]
  • The Year of QC Applications. Keynote for „Quantum Computing in Practice: Industry-Specific Applications“ (German: „Quantencomputing in der Praxis: industriespezifische Anwendungen: Manufacturing Processes“), bayern innovativ, 2022.
    [Link] [Download PDF]
  • Towards Quantum Artificial Intelligence. QCtalks, 2021.
    [Link] [Download PDF]
  • The Holy Grail of Quantum Artificial Intelligence. Quantum Applications (German: „Quanten-Anwendungen“), Münchner Kreis, 2020.
    [Link] [Download PDF]
  • From Software Architecture to Software Gardening: New Paradigms for the Development of Complex Adaptive Systems. RoSI Lecture, TU Dresden, 2019.
    [Link] [Download PDF]
  • QAR-Lab Site Report and the PlanQK Initiative. Machine Learning for Quantum Technology 2019, with support from the QAR-Lab team.
    [Link] [Download PDF]
  • Site Report: Quantum Applications and Research Lab (QAR-Lab). Qubits Europe 2019, with Sebastian Feld, Christoph Roch.
    [Link] [Download PDF]
  • QAR-Lab Site Report: Computer Vision and Gate Assignment. DLR Workshop on Quantum Computing for Applications in Science and Industry 2018, with Sebastian Feld.
    [Link]
  • Quantum Computing from Optimization to Artificial Intelligence: Effects on Business, Software and Security. Command Control 2018.
    [Link] [Download PDF]
  • Panel Discussion: Artificial Intelligence – How to handle the smart machines? (German: „Podiumsdiskussion: Künstliche Intelligenz – Wie umgehen mit schlauen Maschinen?“) Automatica 2018, IT2Industry Forum, with Ralf Bucksch, Philipp Hahn, Kishor Sridar, Patrick Quellmalz.
    [Link]
  • Man vs. Machine: Optimized Development Processes with Artificial Intelligence. Automatica 2018, IT2Industry Forum.
    [Link] [Download PDF]
  • QASAR – Results and Hands-On Demonstration of a Joint Project of VW and LMU. Qubits Europe 2018, with Sebastian Feld.
    [Link] [Download PDF]

Theses

  • Sarah Gerner, Thomas Gabor, Philipp Altmann, Claudia Linnhoff-Popien. Neural Network Surrogates for the Productive Fitness in Evolutionary Algorithms. Bachelor’s Thesis, 2023.
  • Moritz Glawleschkoff, Thomas Gabor, Maximilian Zorn, Claudia Linnhoff-Popien. Empowerment for Evolutionary Algorithms. Bachelor’s Thesis, 2023.
  • Teodor Slaveykov, Leo Sünkel, Thomas Gabor, Claudia Linnhoff-Popien. Application of Graph Partitioning Algorithms and Genetic Algorithm for Optimizing Teleportation Costs in Distributed Quantum Circuits (German: „Anwendung von Graphpartitionierungsalgorithmen und genetischen Algorithmen zur Optimierung der Teleportationskosten in verteilten Quantenschaltkreisen“). Bachelor’s Thesis, 2023.
  • Steffen Brandenburg, Leo Sünkel, Thomas Gabor, Claudia Linnhoff-Popien. The Impact of Embedding Methods on Generalizability in Quantum Machine Learning (German: „Einfluss von Embedding Methoden auf Generalisierbarkeit in Quantum Machine Learning“). Master’s Thesis, 2023.
  • Julian Schönberger, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Genetic Neuron Selection for Deep Neural Networks. Bachelor’s Thesis, 2023.
  • Maximilian Zorn, Thomas Gabor, Steffen Illium, Claudia Linnhoff-Popien. Reinforcement Learning for Synchronously Played Strategies in the Pokémon Environment. Master’s Thesis, 2022.
  • Felix Zenz, Thomas Gabor, Sebastian Zielinski, Claudia Linnhoff-Popien. The Complexity of Quantum-Annealing-Based Timetable Scheduling. Bachelor’s Thesis, 2022.
  • Liliane Kabboura, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Reward Shaping for Optimal Exploration in Reinforcement Learning. Master’s Thesis, 2022.
  • Hyeri An, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien. Evolutionary Subgoal-Discovery for Temporal Abstract Planning. Bachelor’s Thesis, 2022.
  • Florian Grzonka, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Predicting Hyperparameters for Evolutionary Algorithms using Neural Networks. Bachelor’s Thesis, 2022.
  • Felix Buchdrucker, Markus Friedrich, Thomas Gabor, Claudia Linnhoff-Popien. Partitioning Strategies for CSG Tree Synthesis from Point Clouds (German: „Partitionierungsstrategien für die CSG-Baumsynthese aus Punktwolken“). Master’s Thesis, 2022.
  • Larissa Mikolaschek, Thomas Gabor, Kyrill Schmid, Claudia Linnhoff-Popien. A Genetic Programming System for Currency Trading. Master’s Thesis, 2022.
  • Bastian Wagner, Thomas Gabor, Kyrill Schmid, Claudia Linnhoff-Popien. The Effects of Communication on Sharing Economy (German: „Die Auswirkungen von Kommunikation in der Sharing Economy“). Master’s Thesis, 2022.
  • Julius Blumenröder, Thomas Gabor, Sebastian Zielinski, Claudia Linnhoff-Popien. Data Robustness of Quantum Support Vector Machines (German: „Daten-Robustheit von Quantum-Support-Vector-Maschinen“). Bachelor’s Thesis, 2022.
  • Max Babel, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Quantum-Enhanced Neural Gas. Master’s Thesis, 2022.
  • Alexander Moßhammer, Markus Friedrich, Thomas Gabor, Claudia Linnhoff-Popien. Deep Learning Stereo Matching with Optimal Transport (German: „Deep Learning Stereo Matching mit Optimalem Transport“). Master’s Thesis, 2021.
  • Christian Lenta, Steffen Illium, Thomas Gabor, Claudia Linnhoff-Popien. Exploration of Parameter Boundaries in Self-Replicating Artificial Neural Networks. Bachelor’s Thesis, 2021.
  • David Müller, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Representing Learning Algorithm Models via Reward Functions (German: „Abbildung von Learning-Algorithmen-Modellen in deren Reward-Funktion“). Bachelor’s Thesis, 2021.
  • Tobias Marcel Hindelang, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Graph-Based and Set-Based Extensions of Evolutionary Algorithms for Route Optimization (German: „Graph- und Mengen-basierte Erweiterungen von evolutionären Algorithmen für Routenoptimierung“). Bachelor’s Thesis, 2021.
  • Korbinian Blanz, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien. Evaluating Resilience in Antagonist-based Multi-Agent Reinforcement Learning. Master’s Thesis, 2021.
  • Leisheng Wang, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien. Dividend Prediction Using Machine Learning Techniques. Bachelor’s Thesis, 2021.
  • Simon Cronjaeger, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien. Neural Architecture Search using Upside Down Reinforcement Learning. Master’s Thesis, 2021.
  • Jonas Nüßlein, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Reinforcement Learning for Arbitrary Target Observations (German: „Reinforcement Learning für beliebige Zielobservationen“). Master’s Thesis, 2021.
  • Maximilian Wagner, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. An Evolutionary Algorithm for Optimizing API Designs in Software Ecosystems (German: „Evolutionärer Algorithmus zur Optimierung des API-Designs in Software-Ökosystemen“). Master’s Thesis, 2021.
  • Daniel Ellert, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Automated Hyperparameter Optimization via Co-Evolution in Genetic Algorithms (German: „Automatische Hyperparameter-Optimierung durch Koevolution in genetischen Algorithmen“). Master’s Thesis, 2021.
  • Abdulrahman Alsheikh, Sebastian Feld, Thomas Gabor, Claudia Linnhoff-Popien. Optimization of Constrained Problems via a Quantum-Assisted Genetic Algorithm (German: „Optimierung beschränkter Probleme mittels Quanten-Unterstützen genetischen Algorithmus“). Master’s Thesis, 2021.
  • Marian Lingsch, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. AI in Programming: Prediction of Code Parts from UML (German: „KI bei der Programmierung: Vorhersage von Code-Bestandteilen aus UML“). Bachelor’s Thesis, 2021.
  • Patrick Börzel, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Randomized Fitness in Evolutionary Algorithms (German: „Randomisierte Fitness in Evolutionären Algorithmen“). Master’s Thesis, 2020.
  • Daniëlle Schuman, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien. Using Quantum Annealing in Spiking Neural Network Execution. Bachelor’s Thesis, 2020.
  • Philipp Altmann, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Adversarial Self-Imitation Learning. Master’s Thesis, 2020.
  • Thore Schillmann, Steffen Illium, Thomas Gabor, Claudia Linnhoff-Popien. Investigating Memory Horizons in Recurrent Neural Memory Networks. Bachelor’s Thesis, 2020.
  • Felip Guimera Cuevas, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien. Uncorrelated and Prioritized Reservoir Sampling for Reinforcement Learning with Restricted Memory over Arbitrary Time-Spans. Master’s Thesis, 2020.
  • Antonia Halbig, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Reinforcement Learning Targeting Arbitrary Expected Rewards. Bachelor’s Thesis, 2020.
    [Summary]
  • Dajana Berthold, Thomas Gabor, Steffen Illium, Claudia Linnhoff-Popien. Complex Recombination in Genetic Programming (German). Master’s Thesis, 2020.
  • Maximilian Zorn, Steffen Illium, Thomas Gabor, Claudia Linnhoff-Popien. Additional Goals for Self-Replicating Neural Networks. Bachelor’s Thesis, 2020.
  • Sofie Henghuber, Thomas Gabor, Robert Müller, Claudia Linnhoff-Popien. Evolutionary Algorithms for Dynamic Optimization Problems (German: „Evolutionäre Algorithmen für dynamische Optimierungsprobleme“). Bachelor’s Thesis, 2020.
  • Anna Arendt, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Self-Adaptive Recombination in Evolutionary Algorithms (German: „Selbst-adaptive Rekombination in evolutionären Algorithmen“). Bachelor’s Thesis, 2020.
  • Marco Philip, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien. Adversarial Planning for Pursuit-Evasion Scenarios. Bachelor’s Thesis, 2020.
  • Marc Leichsenring, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Multi-headed Modification to the Monte Carlo Tree Search with Variable Search Depth. Bachelor’s Thesis, 2020.
  • Patricia Gschoßmann, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien. Learning to Play Pommerman with Emergent Communication. Bachelor’s Thesis, 2020.
  • Hila Safi, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Analyzing Quadratic Unconstrained Binary Optimization Matrices Using Neural Networks for Solving NP-Complete Problems. Master’s Thesis, 2020.
  • Oliver Heilmann, Thomas Gabor, Christoph Roch, Claudia Linnhoff-Popien. Thinning Out QUBO Matrices in Assignment Problems (German: „Ausdünnen von QUBO-Matrizen in Assignment-Problemen“). Bachelor’s Thesis, 2020.
  • Adam Mahmoud, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Explainability of a Reinforcement Learning Agent for Autonomous Driving. Bachelor’s Thesis, 2020.
  • Jonas Lewe, Thomas Gabor, Christoph Roch, Claudia Linnhoff-Popien. Realistic Complexity Analysis for Quantum-Assisted Airport Gate Assignment (German: „Realistische Komplexitätsanalyse für quantenbasierte Airport-Gate-Assignment-Probleme“), Bachelor’s Thesis, 2020.
  • Thomas Horner, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Diversity-Aware Evolutionary Algorithms vs. Experiment-Driven Adaptation. Bachelor’s Thesis, 2019.
  • Katja Geirhos, Sebastian Feld, Thomas Gabor, Claudia Linnhoff-Popien. Archetypal Analysis as a QUBO Problem (German: „Archetypische Analyse als QUBO-Formulierung“). Bachelor’s Thesis, 2019.
  • Christina Karle, Carsten Hahn, Thomas Gabor, Claudia Linnhoff-Popien. Co-Evolution in a Continuous Predator/Prey Environment Using Multi-Agent Reinforcement Learning (German: „Koevolution in einer kontinuierlichen Räuber-Beute-Umgebung mittels Multi-Agent Reinforcement Learning“). Bachelor’s Thesis, 2019.
  • Florian Schepp, Thomas Gabor, Christoph Roch, Claudia Linnhoff-Popien. Complexity Analysis of Problems to Be Solved Efficiently with a Quantum Computer and Their Relation to NP (German: „Komplexitätstheoretische Betrachtung der effizient durch Quantencomputer lösbaren Probleme und ihrer Beziehung zu NP“). Bachelor’s Thesis, 2019.
  • Jonas Nüßlein, Thomas Gabor, Christoph Roch, Claudia Linnhoff-Popien. Inference in Bayes Networks Using Quantum Annealing (German: „Inferenz auf Bayes-Netzen mit Quantum Annealing“). Bachelor’s Thesis, 2019.
  • Leo Sünkel, Thomas Gabor, Christoph Roch, Claudia Linnhoff-Popien. QUBOs for Evolutionary Algorithms and Quantum Annealing. Master’s Thesis, 2019.
  • Alexander Rosenblit, Markus Friedrich, Thomas Gabor, Claudia Linnhoff-Popien. Reduction of Redundant Structures in CSG Tree Extraction Using Evolutionary Algorithms (German: „Reduzierung redundanter Strukturen bei der CSG-Baum Extraktion mit Evolutionären Algorithmen“). Bachelor’s Thesis, 2019.
  • Christoph Derks, Kyrill Schmid, Thomas Gabor, Claudia Linnhoff-Popien. Classifying Agents in Sequential Social Dilemmas (German: „Klassifikation von Agenten in Sequentiellen Sozialen Dilemmas“). Bachelor’s Thesis, 2018.
  • Sarah Vaupel, Carsten Hahn, Thomas Gabor, Claudia Linnhoff-Popien. Intuitively Predicting the Movement of Dynamic Objects Using Neural Networks (German: „Intuitive Vorhersage der Bewegung dynamischer Objekte mit neuronalen Netzen“). Bachelor’s Thesis, 2018.
  • Alexander Julian Moßhammer, Thomas Gabor, Stefen Illium, Claudia Linnhoff-Popien. Scalable Neuroevolutionary Algorithms (German: „Skalierbare Neuroevolutionäre Algortihmen“). Bachelor’s Thesis, 2018.
  • Jan Peter, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien. Subgoal-Based Temporal Abstractions in Monte-Carlo Tree Search. Master’s Thesis, 2018.
  • Andy Mattausch, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien. Transfer Learning: Neural Networks for Weather Forecasting (German: „Transfer Learning: Neuronale Netze zur Wettervorhersage“). Master’s Thesis, 2018.
  • Daniel Ellert, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Reduction of User Interaction of Interactive Evolutionary Algorithms for the Example of an Application for Music Composition (German: „Reduzierung der Benutzerinteraktion bei interaktiven evolutionären Algorithmen am Beispiel einer Applikation zur Musikkomposition“). Bachelor’s Thesis, 2018.
  • Saskia Friedrich, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien. Domain Analysis for the Combination of Agents in General Video Game Playing (German: „Domänenanalyse zur Kombination von Agenten im General Video Game Playing“). Bachelor’s Thesis, 2018.
  • Benno Kreß, Thomas Gabor, Kyrill Schmid, Claudia Linnhoff-Popien. Diversity-Oriented Evolutionary Optimization of Smart Factory Layouts in Swift (German: „Diversitäts-orientierte evolutionäre Optimierung von Smart Factory Layouts in SWIFT“). Bachelor’s Thesis, 2018.
  • Michael Christa, Kyrill Schmid, Thomas Gabor, Claudia Linnhoff-Popien. Trading Agents: Analysis of the Ricardo Model Using Deep Multi-Agent Reinforcement Learning (German: „Handelnde Agenten: Untersuchung des Ricardo Modells mit Deep Multi Agent Reinforcement Learning“). Master’s Thesis, 2018.
  • Philipp Altmann, Thomas Gabor, Markus Friedrich, Claudia Linnhoff-Popien. Surrogate-Assisted Genetic Algorithms for Interactive Recommendation Systems. Bachelor’s Thesis, 2018.
  • Adrian Lübke, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien. Comparing Genetic Algorithms and Monte-Carlo Tree Search in General Video Game Playing. Bachelor’s Thesis, 2018.
  • Andreas Hessenberger, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien. Machine Learning with QBoost for Quantum Annealing Hardware (German: „Machine Learning mit QBoost auf Quantum Annealing Hardware“). Master’s Thesis, 2018.
  • Magdalena Speer, Carsten Hahn, Thomas Gabor, Claudia Linnhoff-Popien. Comparing Different Architectures of Artificial Neural Networks for Anomaly Detection in Time Series (German: „Ein Vergleich verschiedener Architekturen künstlicher neuronaler Netze zur Anomalieerkennung in Zeitserien“). Bachelor’s Thesis, 2018.
  • Johannes Hutter, Lorenz Schauer, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien. Compression of GPS Trajectories with Autoencoders. Master’s Thesis, 2017.
  • Sebastian Zielinski, Sebastian Feld, Thomas Gabor, Claudia Linnhoff-Popien. Analysis of the Distribution of Solutions in Quantum Annealing (German: „Analyse der Lösungsverteilung beim Quantum Annealing“). Master’s Thesis, 2017.
  • Christoph Roch, Sebastian Feld, Thomas Gabor, Claudia Linnhoff-Popien. Quantum-Classical Hybrid Applications (German: „Quanten-Klassische Hybride Anwendungen“). Master’s Thesis, 2017.
  • Peter Sammer, Lorenz Schauer, Thomas Gabor, Claudia Linnhoff-Popien. Strategies for the Efficient Indoor Placement of Monitor Nodes (German: „Strategien zur effizienten Verteilung von Monitor-Knoten im Gebäude“). Master’s Thesis, 2017.
  • Rachel Brabender, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien. Using Diversity in Evolutionary Algorithms (German: „Einsatz von Diversität in evolutionären Algorithmen“). Bachelor’s Thesis, 2017.
  • Thomy Phan, Lenz Belzner, Thomas Gabor, Claudia Linnhoff-Popien. EVADE: Emergent Value Function Approximation for Distributed Environments. Master’s Thesis, 2017.
  • Tobias Duemmling, Lenz Belzner, Thomas Gabor, Claudia Linnhoff-Popien. Temporal Abstractors (German: „Temporale Abstraktoren“). Bachelor’s Thesis, 2017.
  • Kyrill Schmid, Lenz Belzner, Thomas Gabor, Claudia Linnhoff-Popien. Risk Sensitive Online Planning. Bachelor’s Thesis, 2017.
  • Alexander Neitz, Lenz Belzner, Thomas Gabor, Claudia Linnhoff-Popien. Deep Q-Embedding for Multitask Reinforcement Learning. Master’s Thesis, 2017.
  • Alexander Isenko, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien. Neuroevolution in RoboCup2D (German). Bachelor’s Thesis, 2016.
  • Patrick Haller von Hallerstein, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien. Genetic Level Generation for General Video Game Playing (German: „Genetische Level Generierung für das generelle Spielen von Videospielen“). Bachelor’s Thesis, 2016.
  • Florian Kirchgeßner, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien. Heuristic Online Planning with Genetic Algorithms (German: „Heuristische Online-Planung mit genetischen Algorithmen“). Bachelor’s Thesis, 2016.