Raoul Heese

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Expert Knowledge

Adaptive Sampling

Binary Constraints

Top Venues

Publications

Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
On the effects of biased quantum random numbers on the initialization of artificial neural networks. Mach. Learn. 113 (3) (2024)
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
Explainable Quantum Machine Learning. CoRR (2023)
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
Shapley Values with Uncertain Value Functions. CoRR (2023)
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
Shapley Values with Uncertain Value Functions. IDA (2023)
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
Feature selection on quantum computers. Quantum Mach. Intell. 5 (1) (2023)
Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem. CoRR (2023)
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
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Raoul Heese
Quantum Wave Function Collapse for Procedural Content Generation. CoRR (2023)
Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Isobel Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem. CoRR (2023)
Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke
Wavelet-packets for deepfake image analysis and detection. Mach. Learn. 111 (11) (2022)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
Quantum Circuit Evolution on NISQ Devices. CEC (2022)
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
Quantum Feature Selection. CoRR (2022)
Raoul Heese, Patricia Bickert, Astrid Elisa Niederle
Representation of binary classification trees with binary features by quantum circuits. Quantum 6 (2022)
Raoul Heese, Patricia Bickert, Astrid Elisa Niederle
Representation of binary classification trees with binary features by quantum circuits. CoRR (2021)
Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz
CupNet - Pruning a Network for Geometric Data. ICANN (4) (2021)
Raoul Heese, Michal Walczak, Michael Bortz, Jochen Schmid
Calibrated Simplex Mapping Classification. CoRR (2021)
Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz
CupNet - Pruning a network for geometric data. CoRR (2020)
Raoul Heese, Michael Bortz
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. ICPR (2020)
Raoul Heese, Michael Bortz
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. CoRR (2020)
Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz
Optimized data exploration applied to the simulation of a chemical process. CoRR (2019)
Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge. CoRR (2019)
Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz
Optimized data exploration applied to the simulation of a chemical process. Comput. Chem. Eng. 124 (2019)
Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge. ICANN (Workshop) (2019)