| Explaining quantum circuits with shapley values: Towards explainable quantum machine learning R Heese, T Gerlach, S Mücke, S Müller, M Jakobs, N Piatkowski Quantum Machine Intelligence 7 (1), 1-33, 2025 | 37 | 2025 |
| Towards bundle adjustment for satellite imaging via quantum machine learning N Piatkowski, T Gerlach, R Hugues, R Sifa, C Bauckhage, F Barbaresco 2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022 | 15 | 2022 |
| Optimum-preserving QUBO parameter compression S Mücke, T Gerlach, N Piatkowski Quantum Machine Intelligence 7 (1), 1, 2025 | 13 | 2025 |
| Solving subset sum problems using quantum inspired optimization algorithms with applications in auditing and financial data analysis D Biesner, T Gerlach, C Bauckhage, B Kliem, R Sifa 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 11 | 2022 |
| Fpga-placement via quantum annealing T Gerlach, S Knipp, D Biesner, S Emmanouilidis, K Hauber, N Piatkowski arXiv preprint arXiv:2312.15467, 2023 | 6 | 2023 |
| Shapley values with uncertain value functions R Heese, S Mücke, M Jakobs, T Gerlach, N Piatkowski International Symposium on Intelligent Data Analysis, 156-168, 2023 | 6 | 2023 |
| Investigating the relation between problem hardness and qubo properties T Gerlach, S Mücke International Symposium on Intelligent Data Analysis, 171-182, 2024 | 5 | 2024 |
| Policy rollout action selection with knowledge gradient for sensor path planning T Gerlach, F Hoffmann, A Charlish 2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021 | 5 | 2021 |
| Explaining quantum circuits with shapley values: towards explainable quantum machine learning (2023) R Heese, T Gerlach, S Mucke, S Muller, M Jakobs, N Piatkowski arXiv preprint arXiv:2301.09138, 0 | 5 | |
| Quantum optimization for fpga-placement T Gerlach, S Knipp, D Biesner, S Emmanouilidis, K Hauber, N Piatkowski 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 4 | 2024 |
| Efficient light source placement using quantum computing S Mücke, T Gerlach arXiv preprint arXiv:2312.01156, 2023 | 3 | 2023 |
| Quadratic Continuous Quantum Optimization S Mücke, T Gerlach, N Piatkowski arXiv preprint arXiv:2512.24759, 2025 | | 2025 |
| Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning T Gerlach, M Schenk, V Kain arXiv preprint arXiv:2511.04856, 2025 | | 2025 |
| WARP-LUTs--Walsh-Assisted Relaxation for Probabilistic Look Up Tables L Gerlach, L Våge, T Gerlach, E Kauffman, I Ojalvo arXiv preprint arXiv:2510.15655, 2025 | | 2025 |
| Multi-Objective Quantum Power System Redispatch LK Lee, T Gerlach, J Knaute, F Gerhardt, P Völker, T Maras, A Dotterweich, ... 2025 IEEE 12th International Conference on Data Science and Advanced …, 2025 | | 2025 |
| QUBOLite: A lightweigth Python toolkit for QUBO S Mücke, T Gerlach, N Piatkowski, L Theißinger arXiv preprint arXiv:2509.21321, 2025 | | 2025 |
| Quantum Adiabatic Generation of Human-Like Passwords S MÞcke, R Heese, T Gerlach, D Biesner, LK Lee, N Piatkowski arXiv preprint arXiv:2506.08917, 2025 | | 2025 |
| Kernel -Medoids as General Vector Quantization T Gerlach, S MÞcke, C Bauckhage arXiv preprint arXiv:2506.04786, 2025 | | 2025 |
| Quantum Adiabatic Generation of Human-Like Passwords S Mücke, R Heese, T Gerlach, D Biesner, LK Lee, N Piatkowski arXiv e-prints, arXiv: 2506.08917, 2025 | | 2025 |
| Standardization of Multi-Objective QUBOs LK Lee, TT Gerlach, N Piatkowski arXiv preprint arXiv:2504.12419, 2025 | | 2025 |
Nico PiatkowskiFraunhofer IAISVerified email at iais.fraunhofer.de
