Daniëlle Schuman

According to our database, Daniëlle Schuman authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.

Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien

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

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.

Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien

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

Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements.

Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien

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

2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.

Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien

CoRR, 2023

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines.

Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien

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

Sampling problems on a Quantum Computer.

Maximilian Balthasar Mansky, Jonas Nüßlein, David Bucher, Daniëlle Schuman, Sebastian Zielinski, Claudia Linnhoff-Popien

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

2022

Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion.

Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022