Continuous Collaboration: A Case Study on the Development of an Adaptive Cyber-physical System. - Matthias M. Hölzl; Thomas Gabor (SEsCPS@ICSE, 2015)

Software Engineering for Smart Cyber-Physical Systems - Towards a Research Agenda: Report on the First International Workshop on Software Engineering for Smart CPS. - Tomás Bures; Danny Weyns; Christian Berger 001; Stefan Biffl; Marian Daun; Thomas Gabor; David Garlan; Ilias Gerostathopoulos; Christine Julien 001; Filip Krikava; Richard Mordinyi; Nikos Pronios (ACM SIGSOFT Softw. Eng. Notes, 2015)

Reasoning and Learning for Awareness and Adaptation. - Matthias M. Hölzl; Thomas Gabor (The ASCENS Approach, 2015)

A Simulation-Based Architecture for Smart Cyber-Physical Systems. - Thomas Gabor; Lenz Belzner; Marie Kiermeier; Michael Till Beck; Alexander Neitz (ICAC, 2016)

Software engineering for distributed autonomous real-time systems. - Lenz Belzner; Michael Till Beck; Thomas Gabor; Harald Roelle; Horst Sauer (SEsCPS@ICSE, 2016)

QoS-Aware Multi-armed Bandits. - Lenz Belzner; Thomas Gabor (FAS*W@SASO/ICCAC, 2016)

Continuous Collaboration for Changing Environments. - Matthias M. Hölzl; Thomas Gabor (LNCS Trans. Found. Mastering Chang., 2016)

Genealogical distance as a diversity estimate in evolutionary algorithms. - Thomas Gabor; Lenz Belzner (GECCO (Companion), 2017)

Bayesian Verification under Model Uncertainty. - Lenz Belzner; Thomas Gabor (SEsCPS@ICSE, 2017)

Stacked Thompson Bandits. - Lenz Belzner; Thomas Gabor (SEsCPS@ICSE, 2017)

Assessing Solution Quality of 3SAT on a Quantum Annealing Platform. - Thomas Gabor; Sebastian Zielinski; Sebastian Feld; Christoph Roch; Christian Seidel; Florian Neukart; Isabella Galter; Wolfgang Mauerer; Claudia Linnhoff-Popien (QTOP@NetSys, 2017)

Scalable Multiagent Coordination with Distributed Online Open Loop Planning. - Lenz Belzner; Thomas Gabor (CoRR, 2017)

Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions. - 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; et al. (ACM SIGSOFT Softw. Eng. Notes, 2017)

Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. - Thomy Phan; Lenz Belzner; Thomas Gabor; Kyrill Schmid (AAMAS, 2018)

Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms. - Thomas Gabor; Lenz Belzner; Claudia Linnhoff-Popien (GECCO, 2018)

Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. - Thomas Gabor; Lenz Belzner; Thomy Phan; Kyrill Schmid (ICAC, 2018)

Action Markets in Deep Multi-Agent Reinforcement Learning. - Kyrill Schmid; Lenz Belzner; Thomas Gabor; Thomy Phan (ICANN (2), 2018)

The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents. - Lenz Belzner; Kyrill Schmid; Thomy Phan; Thomas Gabor; Martin Wirsing (ISoLA (3), 2018)

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 (ISoLA (3), 2018)

Mutation-Based Test Suite Evolution for Self-Organizing Systems. - André Reichstaller; Thomas Gabor; Alexander Knapp (ISoLA (3), 2018)

Risk-Sensitivity in Simulation Based Online Planning. - Kyrill Schmid; Lenz Belzner; Marie Kiermeier; Alexander Neitz; Thomy Phan; Thomas Gabor; Claudia Linnhoff (KI, 2018)

Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. - Thomy Phan; Kyrill Schmid; Lenz Belzner; Thomas Gabor; Sebastian Feld; Claudia Linnhoff-Popien (AAMAS, 2019)

Optimizing evolutionary CSG tree extraction. - Markus Friedrich 001; Pierre-Alain Fayolle; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 2019)

Benchmarking surrogate-assisted genetic recommender systems. - Thomas Gabor; Philipp Altmann (GECCO (Companion), 2019)

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 (GECCO, 2019)

Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. - Thomas Gabor; Jan Peter; Thomy Phan; Christian Meyer; Claudia Linnhoff-Popien (IJCAI, 2019)

Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning. - Thomy Phan; Thomas Gabor; Robert Müller 005; Christoph Roch; Claudia Linnhoff-Popien (IJCAI, 2019)

Self-Replication in Neural Networks. - Thomas Gabor; Steffen Illium; Andy Mattausch; Lenz Belzner; Claudia Linnhoff-Popien (ALIFE, 2019)

Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning. - Carsten Hahn; Thomy Phan; Thomas Gabor; Lenz Belzner; Claudia Linnhoff-Popien (ALIFE, 2019)

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. - Andreas Sedlmeier; Thomas Gabor; Thomy Phan; Lenz Belzner; Claudia Linnhoff-Popien (CoRR, 2019)

A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. - Christoph Roch; Thomy Phan; Sebastian Feld; Robert Müller 005; Thomas Gabor; Claudia Linnhoff-Popien (CoRR, 2019)

A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer. - Sebastian Feld; Christoph Roch; Thomas Gabor; Christian Seidel; Florian Neukart; Isabella Galter; Wolfgang Mauerer; Claudia Linnhoff-Popien (Frontiers ICT, 2019)

Learning and Testing Resilience in Cooperative Multi-Agent Systems. - Thomy Phan; Thomas Gabor; Andreas Sedlmeier; Fabian Ritz; Bernhard Kempter; Cornel Klein; Horst Sauer; Reiner N. Schmid; Jan Wieghardt; Marc Zeller; Claudia Linnhoff-Popien (AAMAS, 2020)

The Dynamic Time Warping Distance Measure as Q U BO Formulation. - Sebastian Feld; Christoph Roch; Thomas Gabor; Xiao-Ting Michelle To; Claudia Linnhoff-Popien (ICCCS, 2020)

The U Q Platform: A U nifed Approach To Q uantum Annealing. - Thomas Gabor; Sebastian Zielinski; Christoph Roch; Sebastian Feld; Claudia Linnhoff-Popien (ICCCS, 2020)

Approximate approximation on a quantum annealer. - Irmi Sax; Sebastian Feld; Sebastian Zielinski; Thomas Gabor; Claudia Linnhoff-Popien; Wolfgang Mauerer (CF, 2020)

Approximating Archetypal Analysis Using Quantum Annealing. - Sebastian Feld; Christoph Roch; Katja Geirhos; Thomas Gabor (ESANN, 2020)

Nash Equilibria in Multi-Agent Swarms. - Carsten Hahn; Thomy Phan; Sebastian Feld; Christoph Roch; Fabian Ritz; Andreas Sedlmeier; Thomas Gabor; Claudia Linnhoff-Popien (ICAART (1), 2020)

Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. - Kyrill Schmid; Lenz Belzner; Thomy Phan; Thomas Gabor; Claudia Linnhoff-Popien (ICAART (1), 2020)

Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. - Andreas Sedlmeier; Thomas Gabor; Thomy Phan; Lenz Belzner; Claudia Linnhoff-Popien (ICAART (2), 2020)

A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. - Christoph Roch; Thomy Phan; Sebastian Feld; Robert Müller 005; Thomas Gabor; Carsten Hahn; Claudia Linnhoff-Popien (ICCS (6), 2020)

Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA. - Christoph Roch; Alexander Impertro; Thomy Phan; Thomas Gabor; Sebastian Feld; Claudia Linnhoff-Popien (ICRC, 2020)

Insights on Training Neural Networks for QUBO Tasks. - Thomas Gabor; Sebastian Feld; Hila Safi; Thomy Phan; Claudia Linnhoff-Popien (ICSE (Workshops), 2020)

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. - Thomas Gabor; Leo Sünkel; Fabian Ritz; Thomy Phan; Lenz Belzner; Christoph Roch; Sebastian Feld; Claudia Linnhoff-Popien (ICSE (Workshops), 2020)

Foraging Swarms using Multi-Agent Reinforcement Learning. - Carsten Hahn; Fabian Ritz; Paula Wikidal; Thomy Phan; Thomas Gabor; Claudia Linnhoff-Popien (ALIFE, 2020)

Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting. - Fabian Ritz; Felix Hohnstein; Robert Müller 005; Thomy Phan; Thomas Gabor; Carsten Hahn; Claudia Linnhoff-Popien (ALIFE, 2020)

A Formal Model for Reasoning About the Ideal Fitness in Evolutionary Processes. - Thomas Gabor; Claudia Linnhoff-Popien (ISoLA (2), 2020)

Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions. - Thomas Hubregtsen; Christoph Segler; Josef Pichlmeier; Aritra Sarkar; Thomas Gabor; Koen Bertels (ISQED, 2020)

The scenario coevolution paradigm: adaptive quality assurance for adaptive systems. - 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; et al. (Int. J. Softw. Tools Technol. Transf., 2020)

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. - Thomy Phan; Lenz Belzner; Thomas Gabor; Andreas Sedlmeier; Fabian Ritz; Claudia Linnhoff-Popien (AAAI, 2021)

SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. - Fabian Ritz; Thomy Phan; Robert Müller 005; Thomas Gabor; Andreas Sedlmeier; Marc Zeller; Jan Wieghardt; Reiner N. Schmid; Horst Sauer; Cornel Klein; Claudia Linnhoff-Popien (ICAART (1), 2021)

Specification Aware Multi-Agent Reinforcement Learning. - Fabian Ritz; Thomy Phan; Robert Müller 005; Thomas Gabor; Andreas Sedlmeier; Marc Zeller; Jan Wieghardt; Reiner N. Schmid; Horst Sauer; Cornel Klein; Claudia Linnhoff-Popien (ICAART (Revised Selected Papers), 2021)

Goals for Self-Replicating Neural Networks. - Thomas Gabor; Steffen Illium; Maximilian Zorn; Claudia Linnhoff-Popien (ALIFE, 2021)

A Probabilistic Game of Life on a Quantum Annealer. - Thomas Gabor; Marian Lingsch Rosenfeld; Claudia Linnhoff-Popien (ALIFE, 2021)

VAST: Value Function Factorization with Variable Agent Sub-Teams. - Thomy Phan; Fabian Ritz; Lenz Belzner; Philipp Altmann; Thomas Gabor; Claudia Linnhoff-Popien (NeurIPS, 2021)

Productive fitness in diversity-aware evolutionary algorithms. - Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (Nat. Comput., 2021)

Self-adaptive fitness in evolutionary processes. - Thomas Gabor (2021)

Selbstadaptive Fitness in evolutionären Prozessen. - Thomas Gabor (Ausgezeichnete Informatikdissertationen, 2021)

Modifying the quantum-assisted genetic algorithm. - Thomas Gabor; Michael Lachner; Nico Kraus; Christoph Roch; Jonas Stein 001; Daniel Ratke; Claudia Linnhoff-Popien (GECCO Companion, 2022)

The applicability of reinforcement learning for the automatic generation of state preparation circuits. - Thomas Gabor; Maximilian Zorn; Claudia Linnhoff-Popien (GECCO Companion, 2022)

Algorithmic QUBO formulations for k-SAT and hamiltonian cycles. - Jonas Nüßlein; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (GECCO Companion, 2022)

Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. - Steffen Illium; Thore Schillman; Robert Müller 005; Thomas Gabor; Claudia Linnhoff-Popien (ICAART (3), 2022)

Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. - Tobias Müller; Kyrill Schmid; Daniëlle Schuman; Thomas Gabor; Markus Friedrich 001; Marc Geitz (ICAART (3), 2022)

Case-Based Inverse Reinforcement Learning Using Temporal Coherence. - Jonas Nüßlein; Steffen Illium; Robert Müller 005; Thomas Gabor; Claudia Linnhoff-Popien (ICCBR, 2022)

Simple Quantum State Encodings for Hybrid Programming of Quantum Simulators. - Thomas Gabor; Marian Lingsch Rosenfeld; Claudia Linnhoff-Popien (ICSA Companion, 2022)

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 (ISoLA (3), 2022)

Constructing Organism Networks from Collaborative Self-Replicators. - Steffen Illium; Maximilian Zorn; Cristian Lenta; Michael Kölle 001; Claudia Linnhoff-Popien; Thomas Gabor (SSCI, 2022)

How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization. - Thomas Gabor; Marian Lingsch Rosenfeld; Claudia Linnhoff-Popien; Sebastian Feld (SANER, 2022)

Self-Replication in Neural Networks. - Thomas Gabor; Steffen Illium; Maximilian Zorn; Cristian Lenta; Andy Mattausch; Lenz Belzner; Claudia Linnhoff-Popien (Artif. Life, 2022)

Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles. - Jonas Nüßlein; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (CoRR, 2022)

Black Box Optimization Using QUBO and the Cross Entropy Method. - Jonas Nüßlein; Christoph Roch; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (CoRR, 2022)

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. - Thomy Phan; Fabian Ritz; Jonas Nüßlein; Michael Kölle 001; Thomas Gabor; Claudia Linnhoff-Popien (AAMAS, 2023)

A Relative Approach to Comparative Performance Analysis for Quantum Optimization. - Thomas Gabor; Sebastian Zielinski; Sofie Henghuber; Claudia Linnhoff-Popien (GECCO Companion, 2023)

Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study. - Sebastian Zielinski; Jonas Nüßlein; Jonas Stein 001; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (GECCO Companion, 2023)

Black Box Optimization Using QUBO and the Cross Entropy Method. - Jonas Nüßlein; Christoph Roch; Thomas Gabor; Jonas Stein 001; Claudia Linnhoff-Popien; Sebastian Feld (ICCS (5), 2023)

Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization. - Jonas Nüßlein; Sebastian Zielinski; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (ICCS (5), 2023)

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. - Thomy Phan; Fabian Ritz; Philipp Altmann; Maximilian Zorn; Jonas Nüßlein; Michael Kölle 001; Thomas Gabor; Claudia Linnhoff-Popien (ICML, 2023)

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. - Daniëlle Schuman; Leo Sünkel; Philipp Altmann; Jonas Stein 001; Christoph Roch; Thomas Gabor; Claudia Linnhoff-Popien (QCE, 2023)

Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study. - Lenz Belzner; Thomas Gabor; Martin Wirsing (AISoLA, 2023)

DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. - Philipp Altmann; Thomy Phan; Fabian Ritz; Thomas Gabor; Claudia Linnhoff-Popien (CoRR, 2023)

Challenges for Reinforcement Learning in Quantum Computing. - Philipp Altmann; Adelina Bärligea; Jonas Stein 001; Michael Kölle 001; Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (CoRR, 2023)

Quantum Circuit Design: A Reinforcement Learning Challenge. - Philipp Altmann; Adelina Bärligea; Jonas Stein 001; Michael Kölle 001; Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (AAMAS, 2024)

Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. - Sebastian Zielinski; Maximilian Zorn; Thomas Gabor; Sebastian Feld; Claudia Linnhoff-Popien (GECCO Companion, 2024)

Final Productive Fitness for Surrogates in Evolutionary Algorithms. - Maximilian Zorn; Sarah Gerner; Philipp Altmann; Thomas Gabor (GECCO Companion, 2024)

Quantum Federated Learning for Image Classification. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Thomas Gabor (ICAART (3), 2024)

Towards Federated Learning on the Quantum Internet. - Leo Sünkel; Michael Kölle 001; Tobias Rohe; Thomas Gabor (ICCS (6), 2024)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. - Philipp Altmann; Céline Davignon; Maximilian Zorn; Fabian Ritz; Claudia Linnhoff-Popien; Thomas Gabor (IJCCI, 2024)

Finding Strong Lottery Ticket Networks with Genetic Algorithms. - Philipp Altmann; Julian Schönberger; Maximilian Zorn; Thomas Gabor (IJCCI, 2024)

Emergence in Multi-agent Systems: A Safety Perspective. - Philipp Altmann; Julian Schönberger; Steffen Illium; Maximilian Zorn; Fabian Ritz; Tom Haider; Simon Burton 001; Thomas Gabor (ISoLA (2), 2024)

Challenges for Reinforcement Learning in Quantum Circuit Design. - Philipp Altmann; Jonas Stein 001; Michael Kölle 001; Adelina Bärligea; Maximilian Zorn; Thomas Gabor; Thomy Phan; Sebastian Feld; Claudia Linnhoff-Popien (QCE, 2024)

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. - Michael Kölle 001; Daniel Seidl; Maximilian Zorn; Philipp Altmann; Jonas Stein 001; Thomas Gabor (QCE, 2024)

On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Thomas Gabor (QCE, 2024)

Applying an Evolutionary Algorithm to Minimize Teleportation Costs in Distributed Quantum Computing. - Leo Sünkel; Manik Dawar; Thomas Gabor (QCE, 2024)

Solving Max-3SAT Using QUBO Approximation. - Sebastian Zielinski; Jonas Nüßlein; Michael Kölle 001; Thomas Gabor; Claudia Linnhoff-Popien; Sebastian Feld (QCE, 2024)

Cohesive Quantum Circuit Layer Construction with Reinforcement Learning. - Maximilian Zorn; Jonas Stein 001; Philipp Altmann; Michael Kölle 001; Claudia Linnhoff-Popien; Thomas Gabor (QCE, 2024)

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. - Michael Kölle 001; Timo Witter; Tobias Rohe; Gerhard Stenzel; Philipp Altmann; Thomas Gabor (QSW, 2024)

SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning. - Gerhard Stenzel; Kyrill Schmid; Michael Kölle 001; Philipp Altmann; Marian Lingsch Rosenfeld; Maximilian Zorn; Tim Bücher; Thomas Gabor; Martin Wirsing; Lenz Belzner (AISoLA, 2024)

Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. - Michael Kölle 001; Tom Bintener; Maximilian Zorn; Gerhard Stenzel; Leo Sünkel; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 2025)

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Gerhard Stenzel; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 2025)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems. - Jonas Nüßlein; Maximilian Zorn; Fabian Ritz; Jonas Stein 001; Gerhard Stenzel; Julian Schönberger; Thomas Gabor; Claudia Linnhoff-Popien (ICAART (1), 2025)

QMamba: Quantum Selective State Space Models for Text Generation. - Gerhard Stenzel; Michael Kölle 001; Tobias Rohe; Maximilian Balthasar Mansky; Jonas Nüßlein; Thomas Gabor (ICAART (1), 2025)

Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. - Gerhard Stenzel; Sebastian Zielinski; Michael Kölle 001; Philipp Altmann; Jonas Nüßlein; Thomas Gabor (ICAART (1), 2025)

Surrogate Fitness Metrics for Interpretable Reinforcement Learning. - Philipp Altmann; Céline Davignon; Maximilian Zorn; Fabian Ritz; Claudia Linnhoff-Popien; Thomas Gabor (CoRR, 2025)

Towards Scalable Lottery Ticket Networks using Genetic Algorithms. - Julian Schönberger; Maximilian Zorn; Jonas Nüßlein; Thomas Gabor; Philipp Altmann (CoRR, 2025)

Discriminative reward co-training. - Philipp Altmann; Fabian Ritz; Maximilian Zorn; Michael Kölle 001; Thomy Phan; Thomas Gabor; Claudia Linnhoff-Popien (Neural Comput. Appl., 2025)