Jeanette Miriam Lorenz
Orcid: 0000-0001-6530-1873Affiliations:
- LMU Munich, Germany
According to our database1,
Jeanette Miriam Lorenz
authored at least 29 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2023
2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2024
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.
Quantum Mach. Intell., December, 2024
Quantum Mach. Intell., December, 2024
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset.
CoRR, 2024
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization.
CoRR, 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning.
CoRR, 2024
Proceedings of the Symposium on Scaling AI Assessments, 2024
Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms.
Proceedings of the IEEE International Conference on Quantum Software, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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