Raoul Heese

28 papers B 3Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum computing for discrete optimization: A highlight of three technologies.
Eur. J. Oper. Res.
Alexey A. Bochkarev, Raoul Heese, Sven Jäger, Philine Schiewe, Anita Schöbel
2025 J jnl
Efficient solution of the number partitioning problem on a quantum annealer: a hybrid quantum-classical decomposition approach.
J. Heuristics
Zongji Li, Tobias Seidel, Dominik Leib, Michael Bortz, Raoul Heese
2025 J jnl
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning.
Quantum Mach. Intell.
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
2025 J jnl
Quantum Adiabatic Generation of Human-Like Passwords.
CoRR
Sascha Mücke, Raoul Heese, Thore Gerlach, David Biesner, Loong Kuan Lee, Nico Piatkowski
2024 J jnl
On the effects of biased quantum random numbers on the initialization of artificial neural networks.
Mach. Learn.
Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
2024 J jnl
Quantum Wave Function Collapse for Procedural Content Generation.
IEEE Computer Graphics and Applications
Raoul Heese
2023 J jnl
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem.
CoRR
Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese
2023 J jnl
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem.
CoRR
Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz
2023 J jnl
Explainable Quantum Machine Learning.
CoRR
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
2023 J jnl
Feature selection on quantum computers.
Quantum Mach. Intell.
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
2023 J jnl
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng.
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
2023 J jnl
Quantum Wave Function Collapse for Procedural Content Generation.
CoRR
Raoul Heese
2023 B conf
Shapley Values with Uncertain Value Functions.
IDA
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2023 J jnl
Shapley Values with Uncertain Value Functions.
CoRR
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2022 B conf
Quantum Circuit Evolution on NISQ Devices.
CEC
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
2022 J jnl
Quantum Feature Selection.
CoRR
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
2022 J jnl
Representation of binary classification trees with binary features by quantum circuits.
Quantum
Raoul Heese, Patricia Bickert, Astrid Elisa Niederle
2022 J jnl
Wavelet-packets for deepfake image analysis and detection.
Mach. Learn.
Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke
2021 J jnl
Calibrated Simplex Mapping Classification.
CoRR
Raoul Heese, Michal Walczak, Michael Bortz, Jochen Schmid
2021 — conf
CupNet - Pruning a Network for Geometric Data.
ICANN (4)
Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz
2021 J jnl
Representation of binary classification trees with binary features by quantum circuits.
CoRR
Raoul Heese, Patricia Bickert, Astrid Elisa Niederle
2020 B conf
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification.
ICPR
Raoul Heese, Michael Bortz
2020 J jnl
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification.
CoRR
Raoul Heese, Michael Bortz
2020 J jnl
CupNet - Pruning a network for geometric data.
CoRR
Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz
2019 J jnl
Optimized data exploration applied to the simulation of a chemical process.
Comput. Chem. Eng.
Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz
2019 J jnl
Optimized data exploration applied to the simulation of a chemical process.
CoRR
Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz
2019 — conf
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge.
ICANN (Workshop)
Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz
2019 J jnl
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge.
CoRR
Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz