Sascha Mücke

According to our database, Sascha Mücke authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimum-preserving QUBO parameter compression.

Sascha Mücke, Thore Gerlach, Nico Piatkowski

Quantum Mach. Intell., June, 2025

2024

On the effects of biased quantum random numbers on the initialization of artificial neural networks.

Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski

Mach. Learn., 2024

Real-Part Quantum Support Vector Machines.

Nico Piatkowski, Sascha Mücke

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Investigating the Relation Between Problem Hardness and QUBO Properties.

Thore Gerlach, Sascha Mücke

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

A Simple QUBO Formulation of Sudoku.

Sascha Mücke

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Feature selection on quantum computers.

Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski

Quantum Mach. Intell., June, 2023

Faster QUBO Brute-Force Solving using Gray Code.

Sascha Mücke

CoRR, 2023

Explainable Quantum Machine Learning.

Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski

CoRR, 2023

Efficient Light Source Placement using Quantum Computing.

Sascha Mücke, Thore Gerlach

Proceedings of the Lernen, 2023

Shapley Values with Uncertain Value Functions.

Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022

Yes we care!-Certification for machine learning methods through the care label framework.

Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich

Frontiers Artif. Intell., 2022

Quantum Feature Selection.

Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski

CoRR, 2022

A Unified Framework for Assessing Energy Efficiency of Machine Learning.

Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Check Mate: A Sanity Check for Trustworthy AI.

Sascha Mücke, Lukas Pfahler

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Quantum- Inspired Structure- Preserving Probabilistic Inference.

Sascha Mücke, Nico Piatkowski

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Quantum Circuit Evolution on NISQ Devices.

Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Structure Search for Normalizing Flows.

Felix Gonsior, Sascha Mücke, Katharina Morik

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

2020

Gradient-free quantum optimization on NISQ devices.

Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage

CoRR, 2020

Solving Abstract Reasoning Tasks with Grammatical Evolution.

Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik

Proceedings of the Conference "Lernen, 2020

2019

Hardware Acceleration of Machine Learning Beyond Linear Algebra.

Sascha Mücke, Nico Piatkowski, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Bit by Bit: Extracting the Essence of Machine Learning.

Sascha Mücke, Nico Piatkowski, Katharina Morik

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019