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2020 – today
- 2024
[c70]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS 2024: 2123-2125- [c69]Maximilian Zorn
, Sarah Gerner, Philipp Altmann, Thomas Gabor:
Final Productive Fitness for Surrogates in Evolutionary Algorithms. GECCO Companion 2024: 583-586 - [c68]Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. GECCO Companion 2024: 1984-1992 - [c67]Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor:
Quantum Federated Learning for Image Classification. ICAART (3) 2024: 936-942 - [c66]Leo Sünkel, Michael Kölle, Tobias Rohe, Thomas Gabor:
Towards Federated Learning on the Quantum Internet. ICCS (6) 2024: 330-344 - [c65]Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor:
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. QSW 2024: 157-167 - [i40]Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor:
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. CoRR abs/2404.03359 (2024) - [i39]Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor:
Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. CoRR abs/2404.09213 (2024) - [i38]Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. CoRR abs/2405.09272 (2024) - [i37]Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor:
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. CoRR abs/2405.12354 (2024) - [i36]Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor:
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. CoRR abs/2408.01187 (2024) - [i35]Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor:
Emergence in Multi-Agent Systems: A Safety Perspective. CoRR abs/2408.04514 (2024) - 2023
- [c64]Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. AAMAS 2023: 2839-2841 - [c63]Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien:
A Relative Approach to Comparative Performance Analysis for Quantum Optimization. GECCO Companion 2023: 2211-2215 - [c62]Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. GECCO Companion 2023: 2263-2271 - [c61]Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. ICCS (5) 2023: 34-47 - [c60]Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, Sebastian Feld:
Black Box Optimization Using QUBO and the Cross Entropy Method. ICCS (5) 2023: 48-55 - [c59]Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. ICML 2023: 27840-27853 - [c58]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. QCE 2023: 42-47 - [c57]Lenz Belzner, Thomas Gabor, Martin Wirsing:
Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study. AISoLA 2023: 355-374 - [i34]Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. CoRR abs/2301.01649 (2023) - [i33]Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien:
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. CoRR abs/2301.07421 (2023) - [i32]Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. CoRR abs/2302.03536 (2023) - [i31]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines. CoRR abs/2311.15966 (2023) - [i30]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Challenges for Reinforcement Learning in Quantum Computing. CoRR abs/2312.11337 (2023) - 2022
- [j7]Thomas Gabor, Steffen Illium, Maximilian Zorn, Cristian Lenta, Andy Mattausch, Lenz Belzner, Claudia Linnhoff-Popien:
Self-Replication in Neural Networks. Artif. Life 28(2): 205-223 (2022) - [c56]Thomas Gabor, Maximilian Zorn, Claudia Linnhoff-Popien:
The applicability of reinforcement learning for the automatic generation of state preparation circuits. GECCO Companion 2022: 2196-2204 - [c55]Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, Claudia Linnhoff-Popien:
Modifying the quantum-assisted genetic algorithm. GECCO Companion 2022: 2205-2213 - [c54]Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Algorithmic QUBO formulations for k-SAT and hamiltonian cycles. GECCO Companion 2022: 2240-2246 - [c53]Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz:
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. ICAART (3) 2022: 23-32 - [c52]Steffen Illium, Thore Schillman, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. ICAART (3) 2022: 308-315 - [c51]Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Case-Based Inverse Reinforcement Learning Using Temporal Coherence. ICCBR 2022: 304-317 - [c50]Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien:
Simple Quantum State Encodings for Hybrid Programming of Quantum Simulators. ICSA Companion 2022: 170-173 - [c49]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies Within Machine Learning via a Formal Process Model. ISoLA (3) 2022: 249-265 - [c48]Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. SSCI 2022: 1268-1275 - [c47]Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien, Sebastian Feld:
How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization. SANER 2022: 1249-1257 - [i29]Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles. CoRR abs/2204.13539 (2022) - [i28]Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Case-Based Inverse Reinforcement Learning Using Temporal Coherence. CoRR abs/2206.05827 (2022) - [i27]Jonas Nüßlein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld:
Black Box Optimization Using QUBO and the Cross Entropy Method. CoRR abs/2206.12510 (2022) - [i26]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies within Machine Learning via a Formal Process Model. CoRR abs/2208.05219 (2022) - [i25]Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. CoRR abs/2212.10078 (2022) - [i24]Steffen Illium, Thore Schillman, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. CoRR abs/2212.11085 (2022) - 2021
- [b1]Thomas Gabor:
Self-adaptive fitness in evolutionary processes. Ludwig Maximilian University of Munich, Germany, 2021 - [j6]Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Productive fitness in diversity-aware evolutionary algorithms. Nat. Comput. 20(3): 363-376 (2021) - [c46]Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien:
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. AAAI 2021: 11308-11316 - [c45]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
Specification Aware Multi-Agent Reinforcement Learning. ICAART (Revised Selected Papers) 2021: 3-21 - [c44]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. ICAART (1) 2021: 28-37 - [c43]Thomas Gabor, Steffen Illium, Maximilian Zorn, Claudia Linnhoff-Popien:
Goals for Self-Replicating Neural Networks. ALIFE 2021: 101 - [c42]Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien:
A Probabilistic Game of Life on a Quantum Annealer. ALIFE 2021: 103 - [c41]Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien:
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS 2021: 24018-24032 - [p2]Thomas Gabor:
Selbstadaptive Fitness in evolutionären Prozessen. Ausgezeichnete Informatikdissertationen 2021: 41-50 - [i23]Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz:
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion. CoRR abs/2109.10617 (2021) - 2020
- [j5]Thomas Gabor, Andreas Sedlmeier, Thomy Phan, Fabian Ritz, Marie Kiermeier, Lenz Belzner, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems. Int. J. Softw. Tools Technol. Transf. 22(4): 457-476 (2020) - [c40]Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien:
Learning and Testing Resilience in Cooperative Multi-Agent Systems. AAMAS 2020: 1055-1063 - [c39]Thomas Gabor, Sebastian Zielinski, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The U Q Platform: A U nifed Approach To Q uantum Annealing. ICCCS 2020: 115-119 - [c38]Sebastian Feld, Christoph Roch, Thomas Gabor, Xiao-Ting Michelle To, Claudia Linnhoff-Popien:
The Dynamic Time Warping Distance Measure as Q U BO Formulation. ICCCS 2020: 946-950 - [c37]Irmi Sax, Sebastian Feld, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Wolfgang Mauerer:
Approximate approximation on a quantum annealer. CF 2020: 108-117 - [c36]Sebastian Feld, Christoph Roch, Katja Geirhos, Thomas Gabor:
Approximating Archetypal Analysis Using Quantum Annealing. ESANN 2020: 292-296 - [c35]Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien:
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. ICAART (1) 2020: 144-151 - [c34]Carsten Hahn, Thomy Phan, Sebastian Feld, Christoph Roch, Fabian Ritz, Andreas Sedlmeier, Thomas Gabor, Claudia Linnhoff-Popien:
Nash Equilibria in Multi-Agent Swarms. ICAART (1) 2020: 234-241 - [c33]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. ICAART (2) 2020: 522-529 - [c32]Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien:
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. ICCS (6) 2020: 488-501 - [c31]Christoph Roch, Alexander Impertro, Thomy Phan, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA. ICRC 2020: 50-57 - [c30]Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. ICSE (Workshops) 2020: 436-441 - [c29]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. ICSE (Workshops) 2020: 456-461 - [c28]Carsten Hahn, Fabian Ritz, Paula Wikidal, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien:
Foraging Swarms using Multi-Agent Reinforcement Learning. ALIFE 2020: 333-340 - [c27]Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn, Claudia Linnhoff-Popien:
Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting. ALIFE 2020: 518-525 - [c26]Thomas Gabor, Claudia Linnhoff-Popien:
A Formal Model for Reasoning About the Ideal Fitness in Evolutionary Processes. ISoLA (2) 2020: 473-490 - [c25]Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier, Aritra Sarkar, Thomas Gabor, Koen Bertels:
Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. ISQED 2020: 329-334 - [i22]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning. CoRR abs/2001.00496 (2020) - [i21]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. CoRR abs/2004.14035 (2020) - [i20]Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. CoRR abs/2004.14036 (2020) - [i19]Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. CoRR abs/2012.07949 (2020)
2010 – 2019
- 2019
- [j4]Sebastian Feld, Christoph Roch, Thomas Gabor, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, Claudia Linnhoff-Popien:
A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer. Frontiers ICT 6: 13 (2019) - [c24]Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. AAMAS 2019: 2162-2164 - [c23]Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt:
Scenario co-evolution for reinforcement learning on a grid world smart factory domain. GECCO 2019: 898-906 - [c22]Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, Claudia Linnhoff-Popien:
Optimizing evolutionary CSG tree extraction. GECCO 2019: 1183-1191 - [c21]Thomas Gabor, Philipp Altmann:
Benchmarking surrogate-assisted genetic recommender systems. GECCO (Companion) 2019: 1568-1575 - [c20]Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, Claudia Linnhoff-Popien:
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. IJCAI 2019: 5562-5568 - [c19]Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. IJCAI 2019: 5607-5613 - [c18]Thomas Gabor, Steffen Illium, Andy Mattausch, Lenz Belzner, Claudia Linnhoff-Popien:
Self-Replication in Neural Networks. ALIFE 2019: 424-431 - [c17]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning. ALIFE 2019: 598-605 - [i18]Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR abs/1901.02219 (2019) - [i17]Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. CoRR abs/1901.08761 (2019) - [i16]Thomas Gabor, Marie Kiermeier, Andreas Sedlmeier, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt:
Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm. CoRR abs/1902.04694 (2019) - [i15]Thomas Gabor, Sebastian Zielinski, Sebastian Feld, Christoph Roch, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, Claudia Linnhoff-Popien:
Assessing Solution Quality of 3SAT on a Quantum Annealing Platform. CoRR abs/1902.04703 (2019) - [i14]Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. CoRR abs/1903.06454 (2019) - [i13]Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning. CoRR abs/1905.04077 (2019) - [i12]Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien:
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. CoRR abs/1907.05861 (2019) - [i11]Thomas Gabor, Philipp Altmann:
Benchmarking Surrogate-Assisted Genetic Recommender Systems. CoRR abs/1908.02880 (2019) - [i10]Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier, Aritra Sarkar, Thomas Gabor, Koen Bertels:
Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. CoRR abs/1912.06032 (2019) - 2018
- [c16]Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid:
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. AAMAS 2018: 730-738 - [c15]Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms. GECCO 2018: 841-848 - [c14]Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. ICAC 2018: 131-140 - [c13]Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan:
Action Markets in Deep Multi-Agent Reinforcement Learning. ICANN (2) 2018: 240-249 - [c12]André Reichstaller, Thomas Gabor, Alexander Knapp:
Mutation-Based Test Suite Evolution for Self-Organizing Systems. ISoLA (3) 2018: 118-136 - [c11]Thomas Gabor, Marie Kiermeier, Andreas Sedlmeier, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt:
Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm. ISoLA (3) 2018: 137-154 - [c10]Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing:
The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents. ISoLA (3) 2018: 241-256 - [c9]Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff:
Risk-Sensitivity in Simulation Based Online Planning. KI 2018: 229-240 - [i9]Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid:
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. CoRR abs/1804.06311 (2018) - [i8]Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing:
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents. CoRR abs/1804.10781 (2018) - [i7]Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms. CoRR abs/1810.12470 (2018) - [i6]Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. CoRR abs/1810.12483 (2018) - 2017
- [j3]Tomás Bures, Danny Weyns, Bradley R. Schmerl, Eduardo Tovar, Eric Boden, Thomas Gabor, Ilias Gerostathopoulos, Pragya Gupta, Eunsuk Kang, Alessia Knauss, Pankesh Patel, Awais Rashid, Ivan Ruchkin, Roykrong Sukkerd, Christos Tsigkanos:
Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions. ACM SIGSOFT Softw. Eng. Notes 42(2): 19-24 (2017) - [c8]Thomas Gabor, Lenz Belzner:
Genealogical distance as a diversity estimate in evolutionary algorithms. GECCO (Companion) 2017: 1572-1577 - [c7]Lenz Belzner, Thomas Gabor:
Bayesian Verification under Model Uncertainty. SEsCPS@ICSE 2017: 10-13 - [c6]Lenz Belzner, Thomas Gabor:
Stacked Thompson Bandits. SEsCPS@ICSE 2017: 18-21 - [c5]Thomas Gabor, Sebastian Zielinski, Sebastian Feld, Christoph Roch, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, Claudia Linnhoff-Popien:
Assessing Solution Quality of 3SAT on a Quantum Annealing Platform. QTOP@NetSys 2017: 23-35 - [i5]Lenz Belzner, Thomas Gabor:
Scalable Multiagent Coordination with Distributed Online Open Loop Planning. CoRR abs/1702.07544 (2017) - [i4]Lenz Belzner, Thomas Gabor:
Bayesian Verification under Model Uncertainty. CoRR abs/1702.08725 (2017) - [i3]Lenz Belzner, Thomas Gabor:
Stacked Thompson Bandits. CoRR abs/1702.08726 (2017) - [i2]Lenz Belzner, Thomas Gabor:
QoS-Aware Multi-Armed Bandits. CoRR abs/1703.10669 (2017) - [i1]Thomas Gabor, Lenz Belzner:
Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms. CoRR abs/1704.08774 (2017) - 2016
- [j2]Matthias M. Hölzl, Thomas Gabor:
Continuous Collaboration for Changing Environments. LNCS Trans. Found. Mastering Chang. 1: 201-224 (2016) - [c4]Thomas Gabor, Lenz Belzner, Marie Kiermeier, Michael Till Beck, Alexander Neitz:
A Simulation-Based Architecture for Smart Cyber-Physical Systems. ICAC 2016: 374-379 - [c3]Lenz Belzner, Michael Till Beck, Thomas Gabor, Harald Roelle, Horst Sauer:
Software engineering for distributed autonomous real-time systems. SEsCPS@ICSE 2016: 54-57 - [c2]Lenz Belzner, Thomas Gabor:
QoS-Aware Multi-armed Bandits. FAS*W@SASO/ICCAC 2016: 118-119 - 2015
- [j1]Tomás Bures, Danny Weyns, Christian Berger, Stefan Biffl, Marian Daun, Thomas Gabor, David Garlan, Ilias Gerostathopoulos, Christine Julien, Filip Krikava, Richard Mordinyi, 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 Softw. Eng. Notes 40(6): 28-32 (2015) - [c1]Matthias M. Hölzl, Thomas Gabor:
Continuous Collaboration: A Case Study on the Development of an Adaptive Cyber-physical System. SEsCPS@ICSE 2015: 19-25 - [p1]Matthias M. Hölzl, Thomas Gabor:
Reasoning and Learning for Awareness and Adaptation. The ASCENS Approach 2015: 249-290
Coauthor Index
Claudia Linnhoff-Popien
aka: Claudia Linnhoff
aka: Claudia Linnhoff
[c70] [c68] [i40] [i38] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [i34] [i33] [i32] [i31] [i30] [j7] [c56] [c55] [c54] [c52] [c51] [c50] [c49] [c48] [c47] [i29] [i28] [i27] [i26] [i25] [i24] [j6] [c46] [c45] [c44] [c43] [c42] [c41] [j5] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i22] [i21] [i20] [i19] [j4] [c24] [c22] [c20] [c19] [c18] [c17] [i18] [i17] [i15] [i14] [i13] [i12] [c15] [c9] [i7] [c5]
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
