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ORCIDDaniëlle Schuman
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2020 – today
- 2024
[c6]Jonas Stein, Daniëlle Schuman, Magdalena Benkard
, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien:
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. ICAART (2) 2024: 177-185- [c5]Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. ICAART (2) 2024: 324-335 - [c4]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:
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. ICAART (3) 2024: 352-359 - [i8]Tobias Rohe, Daniëlle Schuman, Jonas Nüßlein, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms. CoRR abs/2407.17204 (2024) - [i7]Michael Kölle, Afrae Ahouzi, Pascal Debus, Elif Çetiner, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. CoRR abs/2407.20753 (2024) - [i6]Jonas Nüßlein, Daniëlle Schuman, David Bucher, Naeimeh Mohseni, Kumar Jang Bahadur Ghosh, Corey O'Meara, Giorgio Cortiana, Claudia Linnhoff-Popien:
Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games. CoRR abs/2408.04366 (2024) - 2023
- [c3]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. QCE 2023: 42-47 - [c2]Maximilian Balthasar Mansky, Jonas Nüßlein, David Bucher, Daniëlle Schuman, Sebastian Zielinski, Claudia Linnhoff-Popien:
Sampling problems on a Quantum Computer. QCE 2023: 485-495 - [i5]Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien:
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. CoRR abs/2306.04998 (2023) - [i4]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:
Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. CoRR abs/2306.05042 (2023) - [i3]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines. CoRR abs/2311.15966 (2023) - [i2]Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements. CoRR abs/2312.09174 (2023) - 2022
- [c1]Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz:
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. ICAART (3) 2022: 23-32 - 2021
- [i1]Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz:
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion. CoRR abs/2109.10617 (2021)
Coauthor Index
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