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Leo Sünkel
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2020 – today
- 2024
- [c8]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 - [c7]Michael Kölle
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. ICAART (3) 2024: 649-656 - [c6]Leo Sünkel, Philipp Altmann, Michael Kölle
Quantum Federated Learning for Image Classification. ICAART (3) 2024: 936-942 - [c5]Leo Sünkel, Michael Kölle, Tobias Rohe, Thomas Gabor:
Towards Federated Learning on the Quantum Internet. ICCS (6) 2024: 330-344 - [i6]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) - 2023
- [c4]Philipp Altmann
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. ICAART (3) 2023: 744-751 - [c3]Daniëlle Schuman, Leo Sünkel, Philipp Altmann
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. QCE 2023: 42-47 - [c2]Leo Sünkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. QCE 2023: 356-366 - [i5]Philipp Altmann
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training. CoRR abs/2301.02601 (2023) - [i4]Jonas Stein
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. CoRR abs/2306.04998 (2023) - [i3]Michael Kölle, Jonas Maurer, Philipp Altmann
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. CoRR abs/2311.05559 (2023) - [i2]Daniëlle Schuman, Leo Sünkel, Philipp Altmann
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines. CoRR abs/2311.15966 (2023) - 2020
- [c1]Thomas Gabor, Leo Sünkel, Fabian Ritz
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. ICSE (Workshops) 2020: 456-461 - [i1]Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. CoRR abs/2004.14035 (2020)
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last updated on 2024-08-25 19:14 CEST by the dblp team
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