publications

a list of my scientific papers.

2024

  1. On the effects of biased quantum random numbers on the initialization of artificial neural networks
    Raoul Heese, Moritz Wolter, Sascha Mücke, and 2 more authors
    Machine Learning, 2024
  2. Investigating the Relation Between Problem Hardness and QUBO Properties
    Thore Gerlach, and Sascha Mücke
    In International Symposium on Intelligent Data Analysis, 2024
  3. A Simple QUBO Formulation of Sudoku
    Sascha Mücke
    arXiv preprint arXiv:2403.04816, 2024

2023

  1. A Unified Framework for Assessing Energy Efficiency of Machine Learning
    Raphael Fischer, Matthias Jakobs, Sascha Mücke, and 1 more author
    In Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I, 2023
  2. Shapley Values with Uncertain Value Functions
    Raoul Heese, Sascha Mücke, Matthias Jakobs, and 2 more authors
    In International Symposium on Intelligent Data Analysis, 2023
  3. Explainable Quantum Machine Learning
    Raoul Heese, Thore Gerlach, Sascha Mücke, and 3 more authors
    arXiv preprint arXiv:2301.09138, 2023
  4. Feature Selection on Quantum Computers
    Sascha Mücke, Raoul Heese, Sabine Müller, and 2 more authors
    Quantum Machine Intelligence, 2023
  5. Optimum-Preserving QUBO Parameter Compression
    Sascha Mücke, Thore Gerlach, and Nico Piatkowski
    arXiv preprint arXiv:2307.02195, 2023

2022

  1. Quantum Circuit Evolution on NISQ Devices
    Lukas Franken, Bogdan Georgiev, Sascha Mücke, and 4 more authors
    In 2022 IEEE Congress on Evolutionary Computation (CEC), 2022
  2. Yes We Care!-Certification for Machine Learning Methods through the Care Label Framework
    Katharina J. Morik, Helena Kotthaus, Raphael Fischer, and 6 more authors
    Frontiers in Artificial Intelligence, 2022
  3. Quantum-Inspired Structure-Preserving Probabilistic Inference
    Sascha Mücke, and Nico Piatkowski
    In 2022 IEEE Congress on Evolutionary Computation (CEC), 2022
  4. Check Mate: A Sanity Check for Trustworthy AI
    Sascha Mücke, and Lukas Pfahler
    In Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), 2022

2021

  1. Structure Search for Normalizing Flows
    Felix Gonsior, Sascha Mücke, and Katharina Morik
    In Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), 2021

2020

  1. Solving Abstract Reasoning Tasks with Grammatical Evolution.
    Raphael Fischer, Matthias Jakobs, Sascha Mücke, and 1 more author
    In LWDA, 2020

2019

  1. Hardware Accelerated Learning at the Edge
    Sascha Mücke, Nico Piatkowski, and Katharina Morik
    In Decentralized Machine Learning at the Edge, 2019
  2. Learning Bit by Bit: Extracting the Essence of Machine Learning
    Sascha Mücke, Nico Piatkowski, and Katharina Morik
    In Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), 2019
  3. Evolutionäre Optimierung Pseudoboolescher Funktionen Auf FPGAs
    Sascha Mücke
    TU Dortmund University, 2019