Learning Bit by Bit: Extracting the Essence of Machine Learning. - Sascha Mücke; Nico Piatkowski; Katharina Morik (LWDA, 2019)

Hardware Acceleration of Machine Learning Beyond Linear Algebra. - Sascha Mücke; Nico Piatkowski; Katharina Morik (PKDD/ECML Workshops (1), 2019)

Solving Abstract Reasoning Tasks with Grammatical Evolution. - Raphael Fischer 001; Matthias Jakobs; Sascha Mücke; Katharina Morik (LWDA, 2020)

Gradient-free quantum optimization on NISQ devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Nico Piatkowski; Christian Bauckhage (CoRR, 2020)

Structure Search for Normalizing Flows. - Felix Gonsior; Sascha Mücke; Katharina Morik (LWDA, 2021)

Quantum Circuit Evolution on NISQ Devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Raoul Heese; Christian Bauckhage; Nico Piatkowski (CEC, 2022)

Quantum- Inspired Structure- Preserving Probabilistic Inference. - Sascha Mücke; Nico Piatkowski (CEC, 2022)

Check Mate: A Sanity Check for Trustworthy AI. - Sascha Mücke; Lukas Pfahler (LWDA, 2022)

A Unified Framework for Assessing Energy Efficiency of Machine Learning. - Raphael Fischer 001; Matthias Jakobs; Sascha Mücke; Katharina Morik (PKDD/ECML Workshops (1), 2022)

Quantum Feature Selection. - Sascha Mücke; Raoul Heese; Sabine Müller 001; Moritz Wolter; Nico Piatkowski (CoRR, 2022)

Yes we care!-Certification for machine learning methods through the care label framework. - Katharina Morik; Helena Kotthaus; Raphael Fischer 001; Sascha Mücke; Matthias Jakobs; Nico Piatkowski; Andreas Pauly; Lukas Heppe; Danny Heinrich (Frontiers Artif. Intell., 2022)

Shapley Values with Uncertain Value Functions. - Raoul Heese; Sascha Mücke; Matthias Jakobs; Thore Gerlach; Nico Piatkowski (IDA, 2023)

Efficient Light Source Placement using Quantum Computing. - Sascha Mücke; Thore Gerlach (LWDA, 2023)

Explainable Quantum Machine Learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (CoRR, 2023)

Faster QUBO Brute-Force Solving using Gray Code. - Sascha Mücke (CoRR, 2023)

Feature selection on quantum computers. - Sascha Mücke; Raoul Heese; Sabine Müller 001; Moritz Wolter; Nico Piatkowski (Quantum Mach. Intell., 2023)

A Simple QUBO Formulation of Sudoku. - Sascha Mücke (GECCO Companion, 2024)

Investigating the Relation Between Problem Hardness and QUBO Properties. - Thore Gerlach; Sascha Mücke (IDA (2), 2024)

Real-Part Quantum Support Vector Machines. - Nico Piatkowski; Sascha Mücke (ECML/PKDD (8), 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)

Kernel k-Medoids as General Vector Quantization. - Thore Gerlach; Sascha Mücke; Christian Bauckhage (CoRR, 2025)

Quantum Adiabatic Generation of Human-Like Passwords. - Sascha Mücke; Raoul Heese; Thore Gerlach; David Biesner; Loong Kuan Lee; Nico Piatkowski (CoRR, 2025)

Explaining quantum circuits with Shapley values: towards explainable quantum machine learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (Quantum Mach. Intell., 2025)

Optimum-preserving QUBO parameter compression. - Sascha Mücke; Thore Gerlach; Nico Piatkowski (Quantum Mach. Intell., 2025)