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2020 – today
- 2024
[j3]Raoul Heese
, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski:
On the effects of biased quantum random numbers on the initialization of artificial neural networks. Mach. Learn. 113(3): 1189-1217 (2024)- [c13]Sascha Mücke:
A Simple QUBO Formulation of Sudoku. GECCO Companion 2024: 1958-1962 - [c12]Thore Gerlach, Sascha Mücke:
Investigating the Relation Between Problem Hardness and QUBO Properties. IDA (2) 2024: 171-182 - [c11]Nico Piatkowski, Sascha Mücke:
Real-Part Quantum Support Vector Machines. ECML/PKDD (8) 2024: 144-160 - 2023
- [j2]Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski:
Feature selection on quantum computers. Quantum Mach. Intell. 5(1): 1-16 (2023) - [c10]Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. IDA 2023: 156-168 - [c9]Sascha Mücke, Thore Gerlach:
Efficient Light Source Placement using Quantum Computing. LWDA 2023: 478-491 - [i6]Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. CoRR abs/2301.08086 (2023) - [i5]Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski:
Explainable Quantum Machine Learning. CoRR abs/2301.09138 (2023) - [i4]Sascha Mücke:
Faster QUBO Brute-Force Solving using Gray Code. CoRR abs/2310.19373 (2023) - 2022
- [j1]Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich:
Yes we care!-Certification for machine learning methods through the care label framework. Frontiers Artif. Intell. 5 (2022) - [c8]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski:
Quantum Circuit Evolution on NISQ Devices. CEC 2022: 1-8 - [c7]Sascha Mücke, Nico Piatkowski:
Quantum- Inspired Structure- Preserving Probabilistic Inference. CEC 2022: 1-9 - [c6]Sascha Mücke, Lukas Pfahler:
Check Mate: A Sanity Check for Trustworthy AI. LWDA 2022: 91-103 - [c5]Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik:
A Unified Framework for Assessing Energy Efficiency of Machine Learning. PKDD/ECML Workshops (1) 2022: 39-54 - [i3]Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski:
Quantum Feature Selection. CoRR abs/2203.13261 (2022) - 2021
- [c4]Felix Gonsior, Sascha Mücke, Katharina Morik:
Structure Search for Normalizing Flows. LWDA 2021: 98-105 - [i2]Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski:
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR abs/2105.10197 (2021) - 2020
- [c3]Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik:
Solving Abstract Reasoning Tasks with Grammatical Evolution. LWDA 2020: 6-10 - [i1]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage:
Gradient-free quantum optimization on NISQ devices. CoRR abs/2012.13453 (2020)
2010 – 2019
- 2019
- [c2]Sascha Mücke, Nico Piatkowski, Katharina Morik:
Learning Bit by Bit: Extracting the Essence of Machine Learning. LWDA 2019: 144-155 - [c1]Sascha Mücke, Nico Piatkowski, Katharina Morik:
Hardware Acceleration of Machine Learning Beyond Linear Algebra. PKDD/ECML Workshops (1) 2019: 342-347
Coauthor Index
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