Jeanette Miriam Lorenz

51 papers A 1Misc 15Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2026 — ch.
Quantencomputing und Künstliche Intelligenz.
Künstliche Intelligenz und Wir: Stand, Nutzung und Herausforderungen der KI
Jeanette Miriam Lorenz
2025 — conf
Benchmarking Quantum Reinforcement Learning.
ICAART (1)
Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz
2025 J jnl
Comparing performance of variational quantum algorithm simulations on HPC systems.
CoRR
Marco De Pascale, Tobias Valentin Bauer, Yaknan John Gambo, Mario Hernández Vera, Stefan Huber, Burak Mete, Amit Jamadagni, Amine Bentellis, Marita Oliv, Luigi Iapichino, Jeanette Miriam Lorenz
2025 — conf
Continuous Quantum Reinforcement Learning for Robot Navigation.
ICAART (1)
Theodora-Augustina Dragan, Alexander Künzner, Robert Wille, Jeanette Miriam Lorenz
2025 J jnl
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications.
CoRR
Philip Anton Hernicht, Alona Sakhnenko, Corey O'Meara, Giorgio Cortiana, Jeanette Miriam Lorenz
2025 J jnl
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models.
CoRR
Tongyan Wu, Amine Bentellis, Alona Sakhnenko, Jeanette Miriam Lorenz
2025 J jnl
Is data-efficient learning feasible with quantum models?
CoRR
Alona Sakhnenko, Christian B. Mendl, Jeanette Miriam Lorenz
2025 — conf
Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks.
ICAART (1)
Theodora-Augustina Dragan, Akshat Tandon, Tom Haider, Carsten Strobel, Jasper Simon Krauser, Jeanette Miriam Lorenz
2025 — conf
The Effects of Conditional Pooling Techniques in Quanvolutional Circuits of Quantum-Classical Hybrid Neural Networks.
AIQxQIA@ECAI
Robin Faier, Jeanette Miriam Lorenz, Hans Ehm
2024 — conf
A View on Vulnerabilites: The Security Challenges of XAI (Academic Track).
SAIA
Elisabeth Pachl, Fabian Langer, Thora Markert, Jeanette Miriam Lorenz
2024 J jnl
A hyperparameter study for quantum kernel methods.
Quantum Mach. Intell.
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
2024 J jnl
AI-Driven Approaches for Glaucoma Detection - A Comprehensive Review.
CoRR
Yuki Hagiwara, Octavia-Andreea Ciora, Maureen Monnet, Gino Lancho, Jeanette Miriam Lorenz
2024 J jnl
Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK.
Künstliche Intell.
Florian J. Kiwit, Maximilian A. Wolf, Marwa Marso, Philipp Ross, Jeanette Miriam Lorenz, Carlos A. Riofrío, André Luckow
2024 J jnl
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset.
CoRR
Alona Sakhnenko, Julian Sikora, Jeanette Miriam Lorenz
2024 Misc conf
Certifiably Robust Encoding Schemes.
QCE
Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 J jnl
Certifiably Robust Encoding Schemes.
CoRR
Aman Saxena, Tom Wollschläger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 J jnl
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning.
CoRR
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
2024 Misc conf
Discrete Randomized Smoothing Meets Quantum Computing.
QCE
Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 J jnl
Discrete Randomized Smoothing Meets Quantum Computing.
CoRR
Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann
2024 — conf
Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms.
QSW
Manuel Schnaus, Lilly Palackal, Benedikt Poggel, Xiomara Runge, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl
2024 A conf
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.
UAI
Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann
2024 Misc conf
Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization.
QCE
Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz
2024 J jnl
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization.
CoRR
Georg Kruse, Rodrigo Coehlo, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz
2024 Misc conf
Hybrid Meta-Solving for Practical Quantum Computing.
QCE
Domenik Eichhorn, Maximilian Schweikart, Nick Poser, Frederik Fiand, Benedikt Poggel, Jeanette Miriam Lorenz
2024 J jnl
Hybrid Meta-Solving for Practical Quantum Computing.
CoRR
Domenik Eichhorn, Maximilian Schweikart, Nick Poser, Frederik Fiand, Benedikt Poggel, Jeanette Miriam Lorenz
2024 Misc conf
Identifying Bottlenecks of NISQ-Friendly HHL Algorithms.
QCE
Marc Andreu Marfany, Alona Sakhnenko, Jeanette Miriam Lorenz
2024 J jnl
Identifying Bottlenecks of NISQ-friendly HHL algorithms.
CoRR
Marc Andreu Marfany, Alona Sakhnenko, Jeanette Miriam Lorenz
2024 Misc conf
Predominant Aspects on Security for Quantum Machine Learning: Literature Review.
QCE
Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz
2024 J jnl
Predominant Aspects on Security for Quantum Machine Learning: Literature Review.
CoRR
Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz
2024 Misc conf
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.
QCE
Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
2024 J jnl
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis.
CoRR
Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz
2024 Misc conf
Quantum Patch-Based Autoencoder for Anomaly Segmentation.
QCE
Maria Francisca Madeira, Alessandro Poggiali, Jeanette Miriam Lorenz
2024 J jnl
Quantum Patch-Based Autoencoder for Anomaly Segmentation.
CoRR
Maria Francisca Madeira, Alessandro Poggiali, Jeanette Miriam Lorenz
2024 J jnl
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses.
Quantum Mach. Intell.
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
2024 — conf
Understanding ReLU Network Robustness Through Test Set Certification Performance.
CVPR Workshops
Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
2024 Misc conf
Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks.
QCE
Maureen Monnet, Nermine Chaabani, Theodora-Augustina Dragan, Balthasar Schachtner, Jeanette Miriam Lorenz
2024 — conf
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments.
ICAART (3)
Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz
2023 J jnl
A Hyperparameter Study for Quantum Kernel Methods.
CoRR
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
2023 Misc conf
Benchmarking the Variational Quantum Eigensolver using different quantum hardware.
QCE
Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl, Jeanette Miriam Lorenz
2023 — conf
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution.
AISafety/SafeRL@IJCAI
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
2023 J jnl
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection.
CoRR
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
2023 Misc conf
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.
QCE
Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
2023 J jnl
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness.
CoRR
Nicola Franco, Tom Wollschläger, Benedikt Poggel, Stephan Günnemann, Jeanette Miriam Lorenz
2023 Misc conf
Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks.
QCE
Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl, Florian J. Kiwit, Balthasar Schachtner, Amine Bentellis, Jeanette Miriam Lorenz
2023 J jnl
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses.
CoRR
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
2023 — conf
Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices.
ICAART (2)
Theodora-Augustina Dragan, Maureen Monnet, Christian B. Mendl, Jeanette Miriam Lorenz
2023 Misc conf
Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem.
QCE
Lilly Palackal, Benedikt Poggel, Matthias Wulff, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl
2023 — conf
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing.
QSW
Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer, Robert Wille, Jeanette Miriam Lorenz
2022 Misc conf
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm.
QCE
Nicola Franco, Tom Wollschläger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Günnemann
2022 Misc conf
Quantum-classical convolutional neural networks in radiological image classification.
QCE
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer
2022 J jnl
Quantum-classical convolutional neural networks in radiological image classification.
CoRR
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer