Michael Kölle

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 40

Top Topics

Continuous Optimization Problems

Boltzmann Machines

Reinforcement Learning

Diffusion Models

Top Venues

Publications

Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR (2024)
Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor
Quantum Federated Learning for Image Classification. ICAART (3) (2024)
Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. ICAART (3) (2024)
Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien
Quantum Denoising Diffusion Models. CoRR (2024)
Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. CoRR (2024)
Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. ICAART (1) (2024)
Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. ICAART (3) (2024)
Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms. CoRR (2024)
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 (2024)
Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. CoRR (2024)
Michael Kölle, Afrae Ahouzi, Pascal Debus, Elif Çetiner, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. CoRR (2024)
Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
Quantum Advantage Actor-Critic for Reinforcement Learning. ICAART (1) (2024)
Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. ICAART (2) (2024)
Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering. CoRR (2024)
Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms. ICAART (1) (2024)
Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien
ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering. ICAART (1) (2024)
Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. ICAART (3) (2024)
Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
Quantum Advantage Actor-Critic for Reinforcement Learning. CoRR (2024)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) (2024)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS (2024)
Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. ICAART (2) (2024)
Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. ICAART (2) (2024)
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 (2024)
Leo Sünkel, Michael Kölle, Tobias Rohe, Thomas Gabor
Towards Federated Learning on the Quantum Internet. ICCS (6) (2024)
Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. GECCO Companion (2023)
Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements. CoRR (2023)
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)
Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien
Weight Re-mapping for Variational Quantum Algorithms. ICAART (Revised Selected Paper) (2023)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Challenges for Reinforcement Learning in Quantum Computing. CoRR (2023)
Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. CoRR (2023)
Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR (2023)
Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien
Improving Primate Sounds Classification Using Binary Presorting for Deep Learning. DeLTA (2023)
Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien
Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. CoRR (2023)
Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien
Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. CoRR (2023)
Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. CoRR (2023)
Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien
Weight Re-Mapping for Variational Quantum Algorithms. CoRR (2023)
Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien
Improving Primate Sounds Classification using Binary Presorting for Deep Learning. CoRR (2023)
Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. CoRR (2023)
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)