Jeanette Miriam Lorenz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
4
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICAART | Continuous Quantum Reinforcement Learning for Robot Navigation. | Theodora-Augustina Dragan, Alexander Knzner, Robert Wille, Jeanette Miriam Lorenz |
| 2025 | ICAART | Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks. | Theodora-Augustina Dragan, Akshat Tandon, Tom Haider, Carsten Strobel, Jasper Simon Krauser, Jeanette Miriam Lorenz |
| 2025 | ICAART | Benchmarking Quantum Reinforcement Learning. | Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz |
| 2025 | QCE | Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive. | Amine Bentellis, Benedikt Poggel, Jeanette Miriam Lorenz |
| 2025 | QCE | CleanQRL: Lightweight Single-File Implementations of Quantum Reinforcement Learning Algorithms. | Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz |
| 2025 | QCE | Comparing Performance of Variational Quantum Algorithm Simulations on HPC Systems. | Marco De Pascale, Tobias Valentin Bauer, Yaknan John Gambo, Mario Hernndez Vera, Stefan Huber, Burak Mete, Amit Jamadagni, Amine Bentellis, Marita Oliv, Luigi Iapichino, Jeanette Miriam Lorenz |
| 2025 | QCE | Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. | David Winderl, Nicola Franco, Jeanette Miriam Lorenz |
| 2024 | CVPR | Understanding ReLU Network Robustness Through Test Set Certification Performance. | Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Gnnemann |
| 2024 | ICAART | Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. | Georg Kruse, Theodora-Augustina Dragan, Robert Wille, Jeanette Miriam Lorenz |
| 2024 | QCE | Hybrid Meta-Solving for Practical Quantum Computing. | Domenik Eichhorn, Maximilian Schweikart, Nick Poser, Frederik Fiand, Benedikt Poggel, Jeanette Miriam Lorenz |
| 2024 | QCE | Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis. | Nicola Franco, Marie C. Kempkes, Jakob Spiegelberg, Jeanette Miriam Lorenz |
| 2024 | QCE | Predominant Aspects on Security for Quantum Machine Learning: Literature Review. | Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rll, Jeanette Miriam Lorenz |
| 2024 | QCE | Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization. | Georg Kruse, Rodrigo Coelho, Andreas Rosskopf, Robert Wille, Jeanette Miriam Lorenz |
| 2024 | QCE | Quantum Patch-Based Autoencoder for Anomaly Segmentation. | Maria Francisca Madeira, Alessandro Poggiali, Jeanette Miriam Lorenz |
| 2024 | QCE | Identifying Bottlenecks of NISQ-Friendly HHL Algorithms. | Marc Andreu Marfany, Alona Sakhnenko, Jeanette Miriam Lorenz |
| 2024 | QCE | Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks. | Maureen Monnet, Nermine Chaabani, Theodora-Augustina Dragan, Balthasar Schachtner, Jeanette Miriam Lorenz |
| 2024 | QCE | Certifiably Robust Encoding Schemes. | Aman Saxena, Tom Wollschlger, Nicola Franco, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2024 | QCE | Discrete Randomized Smoothing Meets Quantum Computing. | Tom Wollschlger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2024 | UAI | Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing. | Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2023 | ICAART | 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 |
| 2023 | QCE | Benchmarking the Variational Quantum Eigensolver using different quantum hardware. | Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl, Jeanette Miriam Lorenz |
| 2023 | QCE | Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness. | Nicola Franco, Tom Wollschlger, Benedikt Poggel, Stephan Gnnemann, Jeanette Miriam Lorenz |
| 2023 | QCE | 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 |
| 2023 | QCE | Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem. | Lilly Palackal, Benedikt Poggel, Matthias Wulff, Hans Ehm, Jeanette Miriam Lorenz, Christian B. Mendl |
| 2022 | QCE | Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm. | Nicola Franco, Tom Wollschlger, Nicholas Gao, Jeanette Miriam Lorenz, Stephan Gnnemann |
| 2022 | QCE | Quantum-classical convolutional neural networks in radiological image classification. | Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer |