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Michael Kölle 0001
Person information
- affiliation: LMU Munich, Germany
Other persons with the same name
- Michael Kölle 0002
— University of Stuttgart, Germany
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2020 – today
- 2024
- [j1]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): 34 (2024) - [c28]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 - [c27]Michael Kölle
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms. ICAART (1) 2024: 59-70 - [c26]Michael Kölle
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) 2024: 71-82 - [c25]Michael Kölle
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. ICAART (1) 2024: 83-94 - [c24]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: 99-109 - [c23]Jonas Stein, Daniëlle Schuman, Magdalena Benkard
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. ICAART (2) 2024: 177-185 - [c22]Michael Kölle
Quantum Advantage Actor-Critic for Reinforcement Learning. ICAART (1) 2024: 297-304 - [c21]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: 305-312 - [c20]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: 324-335 - [c19]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: 352-359 - [c18]Michael Kölle
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. ICAART (3) 2024: 649-656 - [c17]Leo Sünkel, Philipp Altmann, Michael Kölle
Quantum Federated Learning for Image Classification. ICAART (3) 2024: 936-942 - [c16]Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. ICAART (3) 2024: 1127-1134 - [c15]Leo Sünkel, Michael Kölle, Tobias Rohe, Thomas Gabor:
Towards Federated Learning on the Quantum Internet. ICCS (6) 2024: 330-344 - [c14]Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien:
Quantum Denoising Diffusion Models. QSW 2024: 88-98 - [c13]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 - [c12]Gerhard Stenzel, Kyrill Schmid, Michael Kölle, Philipp Altmann, Marian Lingsch-Rosenfeld, Maximilian Zorn, Tim Bücher, Thomas Gabor, Martin Wirsing, Lenz Belzner:
SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning. AISoLA 2024: 107-124 - [i31]Robert Müller, Hasan Turalic, Thomy Phan
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering. CoRR abs/2401.03504 (2024) - [i30]Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein
Quantum Advantage Actor-Critic for Reinforcement Learning. CoRR abs/2401.07043 (2024) - [i29]Michael Kölle, Gerhard Stenzel, Jonas Stein
Quantum Denoising Diffusion Models. CoRR abs/2401.07049 (2024) - [i28]Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. CoRR abs/2401.07054 (2024) - [i27]Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms. CoRR abs/2401.07056 (2024) - [i26]Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien:
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR abs/2404.03431 (2024) - [i25]Gerhard Stenzel
Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. CoRR abs/2404.09213 (2024) - [i24]Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. CoRR abs/2405.12354 (2024) - [i23]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 abs/2407.20739 (2024) - [i22]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 abs/2407.20753 (2024) - [i21]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) - [i20]Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien:
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers. CoRR abs/2408.04751 (2024) - 2023
- [c11]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 - [c10]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: 19-34 - [c9]Jonas Stein
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. GECCO Companion 2023: 2254-2262 - [c8]Michael Kölle
Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping. ICAART (2) 2023: 251-258 - [c7]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: 286-309 - [c6]Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien:
VoronoiPatches: Evaluating a New Data Augmentation Method. ICAART (3) 2023: 350-357 - [c5]Michael Kölle, Tim Matheis, Philipp Altmann
Learning to Participate Through Trading of Reward Shares. ICAART (1) 2023: 355-362 - [c4]Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories Using Autoencoders. ICAART (3) 2023: 829-836 - [c3]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 - [i19]Thomy Phan
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. CoRR abs/2301.01649 (2023) - [i18]Michael Kölle, Tim Matheis, Philipp Altmann
Learning to Participate through Trading of Reward Shares. CoRR abs/2301.07416 (2023) - [i17]Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien:
Compression of GPS Trajectories using Autoencoders. CoRR abs/2301.07420 (2023) - [i16]Jonas Stein
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. CoRR abs/2305.03390 (2023) - [i15]Jonas Stein
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. CoRR abs/2306.04998 (2023) - [i14]Jonas Stein
Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. CoRR abs/2306.05042 (2023) - [i13]Jonas Stein
Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. CoRR abs/2306.05047 (2023) - [i12]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 abs/2306.05776 (2023) - [i11]Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien:
Improving Primate Sounds Classification using Binary Presorting for Deep Learning. CoRR abs/2306.16054 (2023) - [i10]Michael Kölle, Felix Topp, Thomy Phan
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR abs/2311.05546 (2023) - [i9]Michael Kölle, Jonas Maurer, Philipp Altmann
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. CoRR abs/2311.05559 (2023) - [i8]Jonas Stein
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. CoRR abs/2312.05552 (2023) - [i7]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 abs/2312.09174 (2023) - [i6]Philipp Altmann, Adelina Bärligea
Challenges for Reinforcement Learning in Quantum Computing. CoRR abs/2312.11337 (2023) - 2022
- [c2]Andreas Sedlmeier, Michael Kölle, Robert Müller, Leo Baudrexel, Claudia Linnhoff-Popien:
Quantifying Multimodality in World Models. ICAART (1) 2022: 367-374 - [c1]Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. SSCI 2022: 1268-1275 - [i5]Michael Kölle, Lennart Rietdorf, Kyrill Schmid:
Decentralized scheduling through an adaptive, trading-based multi-agent system. CoRR abs/2207.11172 (2022) - [i4]Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien:
VoronoiPatches: Evaluating A New Data Augmentation Method. CoRR abs/2212.10054 (2022) - [i3]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) - [i2]Michael Kölle, Alessandro Giovagnoli, Jonas Stein
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping. CoRR abs/2212.14807 (2022) - 2021
- [i1]Andreas Sedlmeier, Michael Kölle, Robert Müller, Leo Baudrexel, Claudia Linnhoff-Popien:
Quantifying Multimodality in World Models. CoRR abs/2112.07263 (2021)
Coauthor Index
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