Jeanette Miriam Lorenz

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 24

Top Topics

Quantum Computing

Image Classification

Reinforcement Learning

Solving Optimization Problems

Top Venues

Quantum Mach. Intell.

Publications

Marc Andreu Marfany, Alona Sakhnenko, Jeanette Miriam Lorenz
Identifying Bottlenecks of NISQ-friendly HHL algorithms. CoRR (2024)
Alona Sakhnenko, Julian Sikora, Jeanette Miriam Lorenz
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset. CoRR (2024)
Nicola Franco, Marie Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. CoRR (2024)
Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. ICAART (3) (2024)
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. CoRR (2024)
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
A hyperparameter study for quantum kernel methods. Quantum Mach. Intell. 6 (2) (2024)
Maria Francisca Madeira, Alessandro Poggiali, Jeanette Miriam Lorenz
Quantum Patch-Based Autoencoder for Anomaly Segmentation. CoRR (2024)
Domenik Eichhorn, Maximilian Schweikart, Nick Poser, Frederik Fiand, Benedikt Poggel, Jeanette Miriam Lorenz
Hybrid Meta-Solving for Practical Quantum Computing. CoRR (2024)
Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz
Predominant Aspects on Security for Quantum Machine Learning: Literature Review. CoRR (2024)
Georg Kruse, Rodrigo Coehlo, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization. CoRR (2024)
Lilly Palackal, Benedikt Poggel, Matthias Wulff, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl
Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem. QCE (2023)
Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl, Jeanette Miriam Lorenz
Benchmarking the Variational Quantum Eigensolver using different quantum hardware. QCE (2023)
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. CoRR (2023)
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution. AISafety/SafeRL@IJCAI (2023)
Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. QCE (2023)
Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl, Florian J. Kiwit, Balthasar Schachtner, Amine Bentellis, Jeanette Miriam Lorenz
Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks. QCE (2023)
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses. CoRR (2023)
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
A Hyperparameter Study for Quantum Kernel Methods. CoRR (2023)
Theodora-Augustina Dragan, Maureen Monnet, Christian B. Mendl, Jeanette Miriam Lorenz
Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices. ICAART (2) (2023)
Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer, Robert Wille, Jeanette Miriam Lorenz
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing. QSW (2023)
Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. CoRR (2023)
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer
Quantum-classical convolutional neural networks in radiological image classification. CoRR (2022)
Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. QCE (2022)
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer
Quantum-classical convolutional neural networks in radiological image classification. QCE (2022)