| Self-replication in neural networks T Gabor, S Illium, M Zorn, C Lenta, A Mattausch, L Belzner, ... Artificial Life 28 (2), 205-223, 2022 | 6 | 2022 |
| Goals for self-replicating neural networks T Gabor, S Illium, M Zorn, C Linnhoff-Popien ALIFE 2022: The 2022 Conference on Artificial Life, 2021 | 5 | 2021 |
| Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA J Stein, F Chamanian, M Zorn, J Nüßlein, S Zielinski, M Kölle, ... Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 4 | 2023 |
| Attention-based recurrence for multi-agent reinforcement learning under stochastic partial observability T Phan, F Ritz, P Altmann, M Zorn, J Nüßlein, M Kölle, T Gabor, ... International Conference on Machine Learning, 27840-27853, 2023 | 3 | 2023 |
| The applicability of reinforcement learning for the automatic generation of state preparation circuits T Gabor, M Zorn, C Linnhoff-Popien Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 3 | 2022 |
| Quantum Advantage Actor-Critic for Reinforcement Learning M Kölle, M Hgog, F Ritz, P Altmann, M Zorn, J Stein, C Linnhoff-Popien arXiv preprint arXiv:2401.07043, 2024 | 1 | 2024 |
| Constructing Organism Networks from Collaborative Self-Replicators S Illium, M Zorn, C Lenta, M Kölle, C Linnhoff-Popien, T Gabor 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1268-1275, 2022 | 1 | 2022 |
| REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning P Altmann, C Davignon, M Zorn, F Ritz, C Linnhoff-Popien, T Gabor arXiv preprint arXiv:2404.03359, 2024 | | 2024 |
| MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange P Altmann, K Winter, M Kölle, M Zorn, T Phan, C Linnhoff-Popien arXiv preprint arXiv:2404.03431, 2024 | | 2024 |
| A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis M Kölle, T Schubert, P Altmann, M Zorn, J Stein, C Linnhoff-Popien arXiv preprint arXiv:2401.07054, 2024 | | 2024 |
| Discriminative Reward Co-Training P Altmann, F Ritz, M Zorn, M Kölle, T Phan, T Gabor, C Linnhoff-Popien | | 2023 |
| Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly J Stein, N Roshani, M Zorn, P Altmann, M Kölle, C Linnhoff-Popien arXiv preprint arXiv:2312.05552, 2023 | | 2023 |
| Social Neural Network Soups with Surprise Minimization M Zorn, S Illium, T Phan, TK Kaiser, C Linnhoff-Popien, T Gabor ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life …, 2023 | | 2023 |
| Improving Primate Sounds Classification Using Binary Presorting for Deep Learning M Kölle, S Illium, M Zorn, J Nüßlein, P Suchostawski, C Linnhoff-Popien International Conference on Deep Learning Theory and Applications, 19-34, 2023 | | 2023 |
| Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern J Stein, T Rohe, F Nappi, J Hager, D Bucher, M Zorn, M Kölle, ... arXiv preprint arXiv:2306.05047, 2023 | | 2023 |
| VoronoiPatches: Evaluating A New Data Augmentation Method S Illium, G Griffin, M Kölle, M Zorn, J Nüßlein, C Linnhoff-Popien arXiv preprint arXiv:2212.10054, 2022 | | 2022 |
