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Email:
sascha.muecke
![]() Phone: 0231/755-7536 Fax: 0231/755-5105 Room-No.: OH12 R4.018 |
Fischer/etal/2022a | Fischer, Raphael and Jakobs, Matthias and Mücke, Sascha and Morik, Katharina. A Unified Framework for Assessing Energy Efficiency of Machine Learning. In Proceedings of the ECML Workshop on Data Science for Social Good, 2022. |
Muecke/etal/2022a |
Mücke, Sascha and Heese, Raoul and Müller, Sabine and Wolter, Moritz and Piatkowski, Nico.
Quantum Feature Selection.
arXiv,
2022.
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Gonsior/etal/2021a |
Felix Gonsior and Sascha Mücke and Katharina Morik.
Structure Search for Normalizing Flows.
In
Thomas Seidl and Michael Fromm and Sandra Obermeier (editors),
Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021,
Vol. 2993,
pages 98--105,
CEUR-WS.org,
2021.
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Heese/etal/2021a | Heese, Raoul and Wolter, Moritz and Mücke, Sascha and Franken, Lukas and Piatkowski, Nico. On the effects of biased quantum random numbers on the initialization of artificial neural networks. 2021. |
Morik/etal/2021a |
Morik, Katharina and Kotthaus, Helena and Heppe, Lukas and Heinrich, Danny and Fischer, Raphael and Mücke, Sascha and Pauly, Andreas and Jakobs, Matthias and Piatkowski, Nico.
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework.
arXiv,
2021.
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Fischer/etal/2020a |
Fischer, Raphael and Jakobs, Matthias and Mücke, Sascha and Morik, Katharina.
Solving Abstract Reasoning Tasks with Grammatical Evolution.
In
Trabold, Daniel and Welke, Pascal and Piatkowski, Nico (editors),
Proceedings of the LWDA 2020 Workshops: KDML, FGWM, FGWI-BIA, and FGDB,
pages 6--10,
2020.
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Franken/etal/2020a |
Franken, Lukas and Georgiev, Bogdan and Mücke, Sascha and Wolter, Moritz and Piatkowski, Nico and Bauckhage, Christian.
Gradient-free quantum optimization on NISQ devices.
2020.
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Muecke/2019a | Mücke, Sascha. Evolutionäre Optimierung pseudoboolescher Funktionen auf FPGAs. TU Dortmund University, 2019. |
Muecke/etal/2019a |
Mücke, Sascha and Piatkowski, Nico and Morik, Katharina.
Learning Bit by Bit: Extracting the Essence of Machine Learning.
In
Jäschke, Robert and Weidlich, Matthias (editors),
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA),
Vol. 2454,
pages 144--155,
2019.
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Muecke/Piatkowski/2019a |
Muecke, Sascha and Piatkowski, Nico and Morik, Katharina.
Hardware Accelerated Learning at the Edge.
In
Kamp, Michael and Paurat, Daniel and Krishnamurthy, Yamuna (editors),
Decentralized Machine Learning at the Edge,
Springer,
2019.
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