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Jeanette Miriam Lorenz
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2020 – today
- 2024
- [c10]Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz:
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. ICAART (3) 2024: 393-400 - [i6]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 abs/2401.07774 (2024) - 2023
- [c9]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 - [c8]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: 199-210 - [c7]Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl, Jeanette Miriam Lorenz:
Benchmarking the Variational Quantum Eigensolver using different quantum hardware. QCE 2023: 518-523 - [c6]Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz:
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. QCE 2023: 524-534 - [c5]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: 601-610 - [c4]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: 648-658 - [c3]Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer, Robert Wille, Jeanette Miriam Lorenz:
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing. QSW 2023: 60-67 - [i5]Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. CoRR abs/2303.14961 (2023) - [i4]Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz:
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. CoRR abs/2305.00472 (2023) - [i3]Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz:
A Hyperparameter Study for Quantum Kernel Methods. CoRR abs/2310.11891 (2023) - [i2]David Winderl, Nicola Franco, Jeanette Miriam Lorenz:
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses. CoRR abs/2311.17458 (2023) - 2022
- [c2]Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer:
Quantum-classical convolutional neural networks in radiological image classification. QCE 2022: 56-66 - [c1]Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann:
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. QCE 2022: 142-153 - [i1]Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer:
Quantum-classical convolutional neural networks in radiological image classification. CoRR abs/2204.12390 (2022)
Coauthor Index
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