Maximilian Zorn

According to our database, Maximilian Zorn authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

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

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