Jeanette Miriam Lorenz
According to our database1,
Jeanette Miriam Lorenz
authored at least 14 papers
between 2022 and 2024.
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Bibliography
2024
CoRR, 2024
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses.
CoRR, 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection.
CoRR, 2023
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing.
Proceedings of the IEEE International Conference on Quantum Software, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution.
Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023
2022
Quantum-classical convolutional neural networks in radiological image classification.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022