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ORCIDRaoul Heese
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Journal Articles
- 2024
[j7]Raoul Heese
:
Quantum Wave Function Collapse for Procedural Content Generation. IEEE Computer Graphics and Applications 44(5): 54-66 (2024)- [j6]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): 1189-1217 (2024) - 2023
- [j5]Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski:
Feature selection on quantum computers. Quantum Mach. Intell. 5(1): 1-16 (2023) - [j4]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): 614-633 (2023) - 2022
- [j3]Moritz Wolter, Felix Blanke, Raoul Heese, Jochen Garcke:
Wavelet-packets for deepfake image analysis and detection. Mach. Learn. 111(11): 4295-4327 (2022) - [j2]Raoul Heese, Patricia Bickert, Astrid Elisa Niederle:
Representation of binary classification trees with binary features by quantum circuits. Quantum 6: 676 (2022) - 2019
- [j1]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: 326-342 (2019)
Conference and Workshop Papers
- 2023
- [c5]Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. IDA 2023: 156-168 - 2022
- [c4]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski:
Quantum Circuit Evolution on NISQ Devices. CEC 2022: 1-8 - 2021
- [c3]Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz:
CupNet - Pruning a Network for Geometric Data. ICANN (4) 2021: 29-33 - 2020
- [c2]Raoul Heese, Michael Bortz:
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. ICPR 2020: 3404-3411 - 2019
- [c1]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: 391-395
Informal and Other Publications
- 2023
- [i12]Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. CoRR abs/2301.08086 (2023) - [i11]Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski:
Explainable Quantum Machine Learning. CoRR abs/2301.09138 (2023) - [i10]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 abs/2309.09736 (2023) - [i9]Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese:
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem. CoRR abs/2312.08940 (2023) - [i8]Raoul Heese:
Quantum Wave Function Collapse for Procedural Content Generation. CoRR abs/2312.13853 (2023) - 2022
- [i7]Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski:
Quantum Feature Selection. CoRR abs/2203.13261 (2022) - 2021
- [i6]Raoul Heese, Michal Walczak, Michael Bortz, Jochen Schmid:
Calibrated Simplex Mapping Classification. CoRR abs/2103.02926 (2021) - [i5]Raoul Heese, Patricia Bickert, Astrid Elisa Niederle:
Representation of binary classification trees with binary features by quantum circuits. CoRR abs/2108.13207 (2021) - 2020
- [i4]Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz:
CupNet - Pruning a network for geometric data. CoRR abs/2005.05276 (2020) - [i3]Raoul Heese, Michael Bortz:
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification. CoRR abs/2008.12005 (2020) - 2019
- [i2]Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz:
Optimized data exploration applied to the simulation of a chemical process. CoRR abs/1902.06453 (2019) - [i1]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 abs/1907.11105 (2019)
Coauthor Index
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