Quantifying Multimodality in World Models. - Andreas Sedlmeier; Michael Kölle 001; Robert Müller 005; Leo Baudrexel; Claudia Linnhoff-Popien (ICAART (1), 2022)

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

Decentralized scheduling through an adaptive, trading-based multi-agent system. - Michael Kölle 001; Lennart Rietdorf; Kyrill Schmid (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)

Improving Primate Sounds Classification Using Binary Presorting for Deep Learning. - Michael Kölle 001; Steffen Illium; Maximilian Zorn; Jonas Nüßlein; Patrick Suchostawski; Claudia Linnhoff-Popien (DeLTA, 2023)

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. - Jonas Stein 001; Farbod Chamanian; Maximilian Zorn; Jonas Nüßlein; Sebastian Zielinski; Michael Kölle 001; Claudia Linnhoff-Popien (GECCO Companion, 2023)

VoronoiPatches: Evaluating a New Data Augmentation Method. - Steffen Illium; Gretchen Griffin; Michael Kölle 001; Maximilian Zorn; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (3), 2023)

Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping. - Michael Kölle 001; Alessandro Giovagnoli; Jonas Stein 001; Maximilian Balthasar Mansky; Julian Hager; Claudia Linnhoff-Popien (ICAART (2), 2023)

Weight Re-mapping for Variational Quantum Algorithms. - Michael Kölle 001; Alessandro Giovagnoli; Jonas Stein 001; Maximilian Balthasar Mansky; Julian Hager; Tobias Rohe; Robert Müller 005; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper), 2023)

Compression of GPS Trajectories Using Autoencoders. - Michael Kölle 001; Steffen Illium; Carsten Hahn; Lorenz Schauer; Johannes Hutter; Claudia Linnhoff-Popien (ICAART (3), 2023)

Learning to Participate Through Trading of Reward Shares. - Michael Kölle 001; Tim Matheis; Philipp Altmann; Kyrill Schmid (ICAART (1), 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)

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. - Jonas Stein 001; Michael Poppel; Philip Adamczyk; Ramona Fabry; Zixin Wu; Michael Kölle 001; Jonas Nüßlein; Daniëlle Schuman; Philipp Altmann; Thomas Ehmer; Vijay Narasimhan; Claudia Linnhoff-Popien (CoRR, 2023)

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. - Jonas Stein 001; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle 001; 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)

Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. - Michael Kölle 001; Afrae Ahouzi; Pascal Debus; Robert Müller 005; Daniëlle Schuman; Claudia Linnhoff-Popien (ICAART (2), 2024)

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms. - Michael Kölle 001; Yannick Erpelding; Fabian Ritz; Thomy Phan; Steffen Illium; Claudia Linnhoff-Popien (ICAART (1), 2024)

Quantum Advantage Actor-Critic for Reinforcement Learning. - Michael Kölle 001; Mohamad Hgog; Fabian Ritz; Philipp Altmann; Maximilian Zorn; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (1), 2024)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. - Michael Kölle 001; Jonas Maurer; Philipp Altmann; Leo Sünkel; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (3), 2024)

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. - Jonas Stein 001; Michael Poppel; Philip Adamczyk; Ramona Fabry; Zixin Wu; Michael Kölle 001; Jonas Nüßlein; Daniëlle Schuman; Philipp Altmann; Thomas Ehmer; Vijay Narasimhan; Claudia Linnhoff-Popien (ICAART (3), 2024)

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. - Jonas Stein 001; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle 001; Claudia Linnhoff-Popien (ICAART (3), 2024)

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. - Jonas Stein 001; Navid Roshani; Maximilian Zorn; Philipp Altmann; Michael Kölle 001; Claudia Linnhoff-Popien (ICAART (2), 2024)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. - Michael Kölle 001; Tom Schubert; Philipp Altmann; Maximilian Zorn; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (1), 2024)

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. - Jonas Stein 001; Daniëlle Schuman; Magdalena Benkard; Thomas Holger; Wanja Sajko; Michael Kölle 001; Jonas Nüßlein; Leo Sünkel; Olivier Salomon; Claudia Linnhoff-Popien (ICAART (2), 2024)

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. - Michael Kölle 001; Felix Topp; Thomy Phan; Philipp Altmann; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (1), 2024)

Quantum Transfer Learning: The Impact of Classical Preprocessing. - Michael Kölle 001; Jonas Maurer; Philipp Altmann; Leo Sünkel; Jonas Stein 001; Julian Hager; Sebastian Zielinski; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. - Michael Kölle 001; Karola Schneider; Sabrina Egger; Felix Topp; Thomy Phan; Philipp Altmann; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering. - Robert Müller 005; Hasan Turalic; Thomy Phan; Michael Kölle 001; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (1), 2024)

Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers. - Navid Roshani; Jonas Stein 001; Maximilian Zorn; Michael Kölle 001; Philipp Altmann; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 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)

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)

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)

Quantum Denoising Diffusion Models. - Michael Kölle 001; Gerhard Stenzel; Jonas Stein 001; Sebastian Zielinski; Björn Ommer; Claudia Linnhoff-Popien (QSW, 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)

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. - Philipp Altmann; Katharina Winter; Michael Kölle 001; Maximilian Zorn; Thomy Phan; Claudia Linnhoff-Popien (CoRR, 2024)

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. - Michael Kölle 001; Afrae Ahouzi; Pascal Debus; Elif Çetiner; Robert Müller 005; Daniëlle Schuman; Claudia Linnhoff-Popien (CoRR, 2024)

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning. - Thomy Phan; Felix Sommer; Fabian Ritz; Philipp Altmann; Jonas Nüßlein; Michael Kölle 001; Lenz Belzner; Claudia Linnhoff-Popien (Auton. Agents Multi Agent Syst., 2024)

From Problem to Solution: A General Pipeline to Solve Optimisation Problems on Quantum Hardware. - Tobias Rohe; Simon Grätz; Michael Kölle 001; Sebastian Zielinski; Jonas Stein 001; Claudia Linnhoff-Popien (FICC (3), 2025)

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)

PIMAEX: Multi-Agent Exploration Through Peer Incentivization. - Michael Kölle 001; Johannes Tochtermann; Julian Schönberger; Gerhard Stenzel; Philipp Altmann; Claudia Linnhoff-Popien (ICAART (1), 2025)

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. - Philipp Altmann; Katharina Winter; Michael Kölle 001; Maximilian Zorn; Claudia Linnhoff-Popien (ICAART (1), 2025)

Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning. - Tobias Rohe; Michael Kölle 001; Jan Matheis; Rüdiger Höpfl; Leo Sünkel; Claudia Linnhoff-Popien (ICAART (2), 2025)

Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data. - Tobias Rohe; Barbara Böhm; Michael Kölle 001; Jonas Stein 001; Robert Müller 005; Claudia Linnhoff-Popien (ICAART (3), 2025)

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs. - Tobias Rohe; Florian Burger; Michael Kölle 001; Sebastian Wölckert; Maximilian Zorn; 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)

Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits. - Michael Kölle 001; Alexander Feist; Jonas Stein 001; Sebastian Wölckert; Claudia Linnhoff-Popien (ICCS (4), 2025)

Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances. - Tobias Rohe; Maximilian Balthasar Mansky; Michael Kölle 001; Jonas Stein 001; Leo Sünkel; Claudia Linnhoff-Popien (I4CS, 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)