Maximilian Zorn

According to our database, Maximilian Zorn authored at least 21 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers.

Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien

CoRR, 2024

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning.

Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor

CoRR, 2024

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA.

Jonas Stein, Jonas Blenninger, David Bucher, Josef Peter Eder, Elif Çetiner, Maximilian Zorn, Claudia Linnhoff-Popien

CoRR, 2024

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.

Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien

CoRR, 2024

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning.

Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor

CoRR, 2024

Emergence in Multi-agent Systems: A Safety Perspective.

Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Rigorous Engineering of Collective Adaptive Systems, 2024

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis.

Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly.

Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern.

Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Advantage Actor-Critic for Reinforcement Learning.

Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Final Productive Fitness for Surrogates in Evolutionary Algorithms.

Maximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs.

Sebastian Zielinski, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern.

Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien

CoRR, 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, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the International Conference on Machine Learning, 2023

VoronoiPatches: Evaluating a New Data Augmentation Method.

Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA.

Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Improving Primate Sounds Classification Using Binary Presorting for Deep Learning.

Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

2022

Self-Replication in Neural Networks.

Thomas Gabor, Steffen Illium, Maximilian Zorn, Cristian Lenta, Andy Mattausch, Lenz Belzner, Claudia Linnhoff-Popien

Artif. Life, 2022

Constructing Organism Networks from Collaborative Self-Replicators.

Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

The applicability of reinforcement learning for the automatic generation of state preparation circuits.

Thomas Gabor, Maximilian Zorn, Claudia Linnhoff-Popien

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Goals for Self-Replicating Neural Networks.

Thomas Gabor, Steffen Illium, Maximilian Zorn, Claudia Linnhoff-Popien

Proceedings of the 2021 Conference on Artificial Life, 2021