Thomas Gabor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
64
Venues
16
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
64 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | GECCO | Towards Variation via Foundation Model: An Empirical Study of a Problem-Agnostic No-Code LLM-Guided Evolutionary Algorithm. | Sarah Gerner, Gerhard Stenzel, Thomas Gabor |
| 2025 | GECCO | Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. | Michael Klle, Tom Bintener, Maximilian Zorn, Gerhard Stenzel, Leo Snkel, Thomas Gabor, Claudia Linnhoff-Popien |
| 2025 | GECCO | A General Genetic Algorithm Using Natural Language Evolutionary Operators. | Gerhard Stenzel, Sarah Gerner, Michael Klle, Maximilian Zorn, Thomas Gabor |
| 2025 | GECCO | Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. | Leo Snkel, Philipp Altmann, Michael Klle, Gerhard Stenzel, Thomas Gabor, Claudia Linnhoff-Popien |
| 2025 | ICAART | Optimizing Sensor Redundancy in Sequential Decision-Making Problems. | Jonas Nlein, Maximilian Zorn, Fabian Ritz, Jonas Stein, Gerhard Stenzel, Julian Schnberger, Thomas Gabor, Claudia Linnhoff-Popien |
| 2025 | ICAART | QMamba: Quantum Selective State Space Models for Text Generation. | Gerhard Stenzel, Michael Klle, Tobias Rohe, Maximilian Balthasar Mansky, Jonas Nlein, Thomas Gabor |
| 2025 | ICAART | Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. | Gerhard Stenzel, Sebastian Zielinski, Michael Klle, Philipp Altmann, Jonas Nlein, Thomas Gabor |
| 2025 | QCE | Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing. | Leo Snkel, Jonas Stein, Maximilian Zorn, Thomas Gabor, Claudia Linnhoff-Popien |
| 2024 | GECCO | Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. | Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien |
| 2024 | GECCO | Final Productive Fitness for Surrogates in Evolutionary Algorithms. | Maximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor |
| 2024 | ICAART | Quantum Federated Learning for Image Classification. | Leo Snkel, Philipp Altmann, Michael Klle, Thomas Gabor |
| 2024 | ICCS | Towards Federated Learning on the Quantum Internet. | Leo Snkel, Michael Klle, Tobias Rohe, Thomas Gabor |
| 2024 | IJCCI | REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. | Philipp Altmann, Cline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor |
| 2024 | IJCCI | Finding Strong Lottery Ticket Networks with Genetic Algorithms. | Philipp Altmann, Julian Schnberger, Maximilian Zorn, Thomas Gabor |
| 2024 | ISoLA | Emergence in Multi-agent Systems: A Safety Perspective. | Philipp Altmann, Julian Schnberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor |
| 2024 | QCE | Challenges for Reinforcement Learning in Quantum Circuit Design. | Philipp Altmann, Jonas Stein, Michael Klle, Adelina Brligea, Maximilian Zorn, Thomas Gabor, Thomy Phan, Sebastian Feld, Claudia Linnhoff-Popien |
| 2024 | QCE | Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. | Michael Klle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor |
| 2024 | QCE | On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning. | Leo Snkel, Philipp Altmann, Michael Klle, Thomas Gabor |
| 2024 | QCE | Applying an Evolutionary Algorithm to Minimize Teleportation Costs in Distributed Quantum Computing. | Leo Snkel, Manik Dawar, Thomas Gabor |
| 2024 | QCE | Solving Max-3SAT Using QUBO Approximation. | Sebastian Zielinski, Jonas Nlein, Michael Klle, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld |
| 2024 | QCE | Cohesive Quantum Circuit Layer Construction with Reinforcement Learning. | Maximilian Zorn, Jonas Stein, Philipp Altmann, Michael Klle, Claudia Linnhoff-Popien, Thomas Gabor |
| 2024 | VECoS | SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning. | Gerhard Stenzel, Kyrill Schmid, Michael Klle, Philipp Altmann, Marian Lingsch Rosenfeld, Maximilian Zorn, Tim Bcher, Thomas Gabor, Martin Wirsing, Lenz Belzner |
| 2023 | GECCO | A Relative Approach to Comparative Performance Analysis for Quantum Optimization. | Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien |
| 2023 | GECCO | Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. | Sebastian Zielinski, Jonas Nlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld |
| 2023 | ICCS | Black Box Optimization Using QUBO and the Cross Entropy Method. | Jonas Nlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, Sebastian Feld |
| 2023 | ICCS | Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. | Jonas Nlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld |
| 2023 | ICML | Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. | Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nlein, Michael Klle, Thomas Gabor, Claudia Linnhoff-Popien |
| 2023 | QCE | Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. | Danille Schuman, Leo Snkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien |
| 2023 | VECoS | Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study. | Lenz Belzner, Thomas Gabor, Martin Wirsing |
| 2022 | GECCO | Modifying the quantum-assisted genetic algorithm. | Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, Claudia Linnhoff-Popien |
| 2022 | GECCO | The applicability of reinforcement learning for the automatic generation of state preparation circuits. | Thomas Gabor, Maximilian Zorn, Claudia Linnhoff-Popien |
| 2022 | GECCO | Algorithmic QUBO formulations for | Jonas Nlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld |
| 2022 | ICAART | Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. | Steffen Illium, Thore Schillman, Robert Mller, Thomas Gabor, Claudia Linnhoff-Popien |
| 2022 | ICAART | Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. | Tobias Mller, Kyrill Schmid, Danille Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz |
| 2022 | ICCBR | Case-Based Inverse Reinforcement Learning Using Temporal Coherence. | Jonas Nlein, Steffen Illium, Robert Mller, Thomas Gabor, Claudia Linnhoff-Popien |
| 2022 | ICSA | Simple Quantum State Encodings for Hybrid Programming of Quantum Simulators. | Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien |
| 2022 | ISoLA | Capturing Dependencies Within Machine Learning via a Formal Process Model. | Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor |
| 2021 | AAAI | Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. | Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien |
| 2021 | ICAART | SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. | Fabian Ritz, Thomy Phan, Robert Mller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien |
| 2021 | ICAART | Specification Aware Multi-Agent Reinforcement Learning. | Fabian Ritz, Thomy Phan, Robert Mller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien |
| 2020 | ESANN | Approximating Archetypal Analysis Using Quantum Annealing. | Sebastian Feld, Christoph Roch, Katja Geirhos, Thomas Gabor |
| 2020 | ICAART | Nash Equilibria in Multi-Agent Swarms. | Carsten Hahn, Thomy Phan, Sebastian Feld, Christoph Roch, Fabian Ritz, Andreas Sedlmeier, Thomas Gabor, Claudia Linnhoff-Popien |
| 2020 | ICAART | Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. | Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien |
| 2020 | ICAART | Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. | Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien |
| 2020 | ICCS | A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. | Christoph Roch, Thomy Phan, Sebastian Feld, Robert Mller, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien |
| 2020 | ICSE | Insights on Training Neural Networks for QUBO Tasks. | Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien |
| 2020 | ICSE | The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. | Thomas Gabor, Leo Snkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien |
| 2020 | ISoLA | A Formal Model for Reasoning About the Ideal Fitness in Evolutionary Processes. | Thomas Gabor, Claudia Linnhoff-Popien |
| 2019 | GECCO | Optimizing evolutionary CSG tree extraction. | Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, Claudia Linnhoff-Popien |
| 2019 | GECCO | Benchmarking surrogate-assisted genetic recommender systems. | Thomas Gabor, Philipp Altmann |
| 2019 | GECCO | Scenario co-evolution for reinforcement learning on a grid world smart factory domain. | Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt |
| 2019 | IJCAI | Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. | Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien |
| 2019 | IJCAI | Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. | Thomy Phan, Thomas Gabor, Robert Mller, Christoph Roch, Claudia Linnhoff-Popien |
| 2018 | GECCO | Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms. | Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien |
| 2018 | ICANN | Action Markets in Deep Multi-Agent Reinforcement Learning. | Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan |
| 2018 | ISoLA | The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents. | Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing |
| 2018 | ISoLA | Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm. | Thomas Gabor, Marie Kiermeier, Andreas Sedlmeier, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt |
| 2018 | ISoLA | Mutation-Based Test Suite Evolution for Self-Organizing Systems. | Andr Reichstaller, Thomas Gabor, Alexander Knapp |
| 2018 | KI | Risk-Sensitivity in Simulation Based Online Planning. | Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff |
| 2017 | GECCO | Genealogical distance as a diversity estimate in evolutionary algorithms. | Thomas Gabor, Lenz Belzner |
| 2017 | ICSE | Bayesian Verification under Model Uncertainty. | Lenz Belzner, Thomas Gabor |
| 2017 | ICSE | Stacked Thompson Bandits. | Lenz Belzner, Thomas Gabor |
| 2016 | ICSE | Software engineering for distributed autonomous real-time systems. | Lenz Belzner, Michael Till Beck, Thomas Gabor, Harald Roelle, Horst Sauer |
| 2015 | ICSE | Continuous Collaboration: A Case Study on the Development of an Adaptive Cyber-physical System. | Matthias M. Hlzl, Thomas Gabor |