Policy Rollout Action Selection with Knowledge Gradient for Sensor Path Planning. - Thore Gerlach; Folker Hoffmann; Alexander Charlish (FUSION, 2021)

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. - Nico Piatkowski; Thore Gerlach; Romain Hugues; Rafet Sifa; Christian Bauckhage; Frédéric Barbaresco (FUSION, 2022)

Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. - David Biesner; Thore Gerlach; Christian Bauckhage; Bernd Kliem; Rafet Sifa (ICMLA, 2022)

QUBOs for Sorting Lists and Building Trees. - Christian Bauckhage; Thore Gerlach; Nico Piatkowski (CoRR, 2022)

Shapley Values with Uncertain Value Functions. - Raoul Heese; Sascha Mücke; Matthias Jakobs; Thore Gerlach; Nico Piatkowski (IDA, 2023)

Efficient Light Source Placement using Quantum Computing. - Sascha Mücke; Thore Gerlach (LWDA, 2023)

Explainable Quantum Machine Learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (CoRR, 2023)

FPGA-Placement via Quantum Annealing. - Thore Gerlach; Stefan Knipp; David Biesner; Stelios Emmanouilidis; Klaus Hauber; Nico Piatkowski (FPGA, 2024)

Investigating the Relation Between Problem Hardness and QUBO Properties. - Thore Gerlach; Sascha Mücke (IDA (2), 2024)

Quantum Optimization for FPGA-Placement. - Thore Gerlach; Stefan Knipp; David Biesner; Stelios Emmanouilidis; Klaus Hauber; Nico Piatkowski (QCE, 2024)

Dynamic Range Reduction via Branch-and-Bound. - Thore Gerlach; Nico Piatkowski (CoRR, 2024)

Hybrid Quantum-Classical Multi-Agent Pathfinding. - Thore Gerlach; Loong Kuan Lee; Frédéric Barbaresco; Nico Piatkowski (CoRR, 2025)

Standardization of Multi-Objective QUBOs. - Loong Kuan Lee; Thore Gerlach; Nico Piatkowski (CoRR, 2025)

Kernel k-Medoids as General Vector Quantization. - Thore Gerlach; Sascha Mücke; Christian Bauckhage (CoRR, 2025)

Quantum Adiabatic Generation of Human-Like Passwords. - Sascha Mücke; Raoul Heese; Thore Gerlach; David Biesner; Loong Kuan Lee; Nico Piatkowski (CoRR, 2025)

Explaining quantum circuits with Shapley values: towards explainable quantum machine learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (Quantum Mach. Intell., 2025)

Optimum-preserving QUBO parameter compression. - Sascha Mücke; Thore Gerlach; Nico Piatkowski (Quantum Mach. Intell., 2025)

QUBOLite: A lightweigth Python toolkit for QUBO. - Sascha Mücke; Thore Gerlach; Nico Piatkowski; Lukas Theißinger (CoRR, 2025)