| Quantum-classical convolutional neural networks in radiological image classification A Matic, M Monnet, JM Lorenz, B Schachtner, T Messerer 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 20 | 2022 |
| Concept correlation and its effects on concept-based models L Heidemann, M Monnet, K Roscher Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 9 | 2023 |
| Pooling techniques in hybrid quantum-classical convolutional neural networks M Monnet, H Gebran, A Matic-Flierl, F Kiwit, B Schachtner, A Bentellis, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 8 | 2023 |
| Quantum reinforcement learning for solving a stochastic frozen lake environment and the impact of quantum architecture choices TA Drăgan, M Monnet, CB Mendl, JM Lorenz arXiv preprint arXiv:2212.07932, 2022 | 8 | 2022 |
| Towards human-interpretable prototypes for visual assessment of image classification models P Sinhamahapatra, L Heidemann, M Monnet, K Roscher arXiv preprint arXiv:2211.12173, 2022 | 5 | 2022 |
| Understanding the effects of data encoding on quantum-classical convolutional neural networks M Monnet, N Chaabani, TA Dragan, B Schachtner, JM Lorenz arXiv preprint arXiv:2405.03027, 2024 | | 2024 |
| Towards Engineered Safe AI with Modular Concept Models L Heidemann, I Kurzidem, M Monnet, K Roscher, S Günnemann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Architecture and Optimizer Choices TA Dragan, M Monnet, CB Mendl, JM Lorenz | | 2023 |
