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ORCIDCharles Moussa
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2020 – today
- 2024
[j1]Charles Moussa
, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn:
Hyperparameter importance and optimization of quantum neural networks across small datasets. Mach. Learn. 113(4): 1941-1966 (2024)- 2023
- [c4]Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko:
Application of quantum-inspired generative models to small molecular datasets. QCE 2023: 342-348 - [i4]Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko:
Application of quantum-inspired generative models to small molecular datasets. CoRR abs/2304.10867 (2023) - 2022
- [c3]Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko:
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. DS 2022: 32-46 - [i3]Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko:
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. CoRR abs/2206.09992 (2022) - [i2]Charles Moussa, Max Hunter Gordon, Michal Baczyk, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Resource frugal optimizer for quantum machine learning. CoRR abs/2211.04965 (2022) - 2021
- [c2]Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko:
Tabu-Driven Quantum Neighborhood Samplers. EvoCOP 2021: 100-119
2010 – 2019
- 2019
- [i1]Charles Moussa, Henri Calandra, Travis S. Humble:
Function Maximization with Dynamic Quantum Search. CoRR abs/1902.00445 (2019) - 2017
- [c1]Charles Moussa, Henri Calandra, Travis S. Humble:
Function Maximization with Dynamic Quantum Search. QTOP@NetSys 2017: 86-95
Coauthor Index
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