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Marco Wiedmann
Marco Wiedmann
在 fau.de 的电子邮件经过验证
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An empirical comparison of optimizers for quantum machine learning with spsa-based gradients
M Wiedmann, M Hölle, M Periyasamy, N Meyer, C Ufrecht, DD Scherer, ...
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
122023
Compression of deep convolutional neural network using additional importance-weight-based filter pruning approach
SS Sawant, M Wiedmann, S Göb, N Holzer, EW Lang, T Götz
Applied Sciences 12 (21), 11184, 2022
42022
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
M Periyasamy, M Hölle, M Wiedmann, DD Scherer, A Plinge, C Mutschler
arXiv preprint arXiv:2305.00905, 2023
22023
Investigation of the influence of the number of spectral channels in colorimetric analysis
A Stefani, T Götz, JM Vieregge, M Wiedmann, W Tschekalinskij, N Holzer, ...
The European Conference on Lasers and Electro-Optics, ch_p_26, 2021
12021
ER-Force 2024 Extended Team Description Paper
T Böhm, E Gareis, U Hahn, T Heineken, V Hopf, M Schmid, ...
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