Raoul Heese

According to our database, Raoul Heese authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Explaining quantum circuits with Shapley values: towards explainable quantum machine learning.

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

Quantum Wave Function Collapse for Procedural Content Generation.

Raoul Heese

IEEE Computer Graphics and Applications, 2024

2023

Feature selection on quantum computers.

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

Quantum Mach. Intell., June, 2023

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.

Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker

IEEE Trans. Knowl. Data Eng., 2023

A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem.

Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese

CoRR, 2023

A Quantum Optimization Case Study for a Transport Robot Scheduling Problem.

Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Isobel Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz

CoRR, 2023

Explainable Quantum Machine Learning.

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

CoRR, 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

Representation of binary classification trees with binary features by quantum circuits.

Raoul Heese, Patricia Bickert, Astrid Elisa Niederle

Quantum, 2022

Wavelet-packets for deepfake image analysis and detection.

Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke

Mach. Learn., 2022

Quantum Feature Selection.

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

CoRR, 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

Calibrated Simplex Mapping Classification.

Raoul Heese, Michal Walczak, Michael Bortz, Jochen Schmid

CoRR, 2021

CupNet - Pruning a Network for Geometric Data.

Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification.

Raoul Heese, Michael Bortz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Optimized data exploration applied to the simulation of a chemical process.

Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz

Comput. Chem. Eng., 2019

The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge.

Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019