Jeanette Miriam Lorenz

Orcid: 0000-0001-6530-1873

Affiliations:
  • LMU Munich, Germany


According to our database1, Jeanette Miriam Lorenz authored at least 29 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
0
5
10
15
20
6
1
13
7
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.
Quantum Mach. Intell., December, 2024

A hyperparameter study for quantum kernel methods.
Quantum Mach. Intell., December, 2024

AI-Driven Approaches for Glaucoma Detection - A Comprehensive Review.
CoRR, 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

A View on Vulnerabilites: The Security Challenges of XAI (Academic Track).
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

Discrete Randomized Smoothing Meets Quantum Computing.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Certifiably Robust Encoding Schemes.
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

Identifying Bottlenecks of NISQ-Friendly HHL Algorithms.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Patch-Based Autoencoder for Anomaly Segmentation.
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

Predominant Aspects on Security for Quantum Machine Learning: Literature Review.
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

Hybrid Meta-Solving for Practical Quantum Computing.
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

Understanding ReLU Network Robustness Through Test Set Certification Performance.
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

Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Benchmarking the Variational Quantum Eigensolver using different quantum hardware.
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


  Loading...