Jeanette Miriam Lorenz

According to our database, Jeanette Miriam Lorenz authored at least 31 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.

David Winderl, Nicola Franco, Jeanette Miriam Lorenz

Quantum Mach. Intell., December, 2024

A hyperparameter study for quantum kernel methods.

Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz

Quantum Mach. Intell., December, 2024

Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK.

Florian J. Kiwit, Maximilian A. Wolf, Marwa Marso, Philipp Ross, Jeanette Miriam Lorenz, Carlos A. Riofrío, André Luckow

Künstliche Intell., December, 2024

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

Yuki Hagiwara, Octavia-Andreea Ciora, Maureen Monnet, Gino Lancho, Jeanette Miriam Lorenz

CoRR, 2024

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset.

Alona Sakhnenko, Julian Sikora, Jeanette Miriam Lorenz

CoRR, 2024

Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization.

Georg Kruse, Rodrigo Coehlo, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz

CoRR, 2024

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning.

David Winderl, Nicola Franco, Jeanette Miriam Lorenz

CoRR, 2024

Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.

Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the Uncertainty in Artificial Intelligence, 2024

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

Elisabeth Pachl, Fabian Langer, Thora Markert, Jeanette Miriam Lorenz

Proceedings of the Symposium on Scaling AI Assessments, 2024

Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms.

Manuel Schnaus, Lilly Palackal, Benedikt Poggel, Xiomara Runge, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl

Proceedings of the IEEE International Conference on Quantum Software, 2024

Discrete Randomized Smoothing Meets Quantum Computing.

Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Certifiably Robust Encoding Schemes.

Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks.

Maureen Monnet, Nermine Chaabani, Theodora-Augustina Dragan, Balthasar Schachtner, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Identifying Bottlenecks of NISQ-Friendly HHL Algorithms.

Marc Andreu Marfany, Alona Sakhnenko, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Patch-Based Autoencoder for Anomaly Segmentation.

Maria Francisca Madeira, Alessandro Poggiali, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization.

Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

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

Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.

Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Hybrid Meta-Solving for Practical Quantum Computing.

Domenik Eichhorn, Maximilian Schweikart, Nick Poser, Frederik Fiand, Benedikt Poggel, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments.

Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Understanding ReLU Network Robustness Through Test Set Certification Performance.

Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann

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.

Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann

CoRR, 2023

Recommending Solution Paths for Solving Optimization Problems with Quantum Computing.

Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer, Robert Wille, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Software, 2023

Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem.

Lilly Palackal, Benedikt Poggel, Matthias Wulff, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks.

Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl, Florian J. Kiwit, Balthasar Schachtner, Amine Bentellis, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.

Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Benchmarking the Variational Quantum Eigensolver using different quantum hardware.

Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl, Jeanette Miriam Lorenz

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.

Theodora-Augustina Dragan, Maureen Monnet, Christian B. Mendl, Jeanette Miriam Lorenz

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution.

Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann

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.

Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm.

Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022