Jeanette Miriam Lorenz
Orcid: 0000-0001-6530-1873Affiliations:
- LMU Munich, Germany
According to our database1,
Jeanette Miriam Lorenz authored at least 42 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Proceedings of the Künstliche Intelligenz und Wir: Stand, 2026
2025
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications.
CoRR, August, 2025
CoRR, April, 2025
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
CleanQRL: Lightweight Single-File Implementations of Quantum Reinforcement Learning Algorithms.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
The Effects of Conditional Pooling Techniques in Quanvolutional Circuits of Quantum-Classical Hybrid Neural Networks.
Proceedings of the 3rd International Workshop on AI for Quantum and Quantum for AI (AIQxQIA 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025
2024
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.
Quantum Mach. Intell., December, 2024
Quantum Mach. Intell., December, 2024
Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK.
Künstliche 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
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.
Proceedings of the Uncertainty in Artificial Intelligence, 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