Inductive power transfer system with a rotary transformer for contactless energy transfer on rotating applications. - Stefan Ditze; Achim Endruschat; Thomas Schriefer; Andreas Rosskopf; Thomas Heckel (ISCAS, 2016)

State of Charge Estimation using Recurrent Neural Networks with Long Short-Term Memory for Lithium-Ion Batteries. - Steffen Bockrath; Andreas Rosskopf; Stéphane Koffel; Stefan Waldhör; Kushal Srivastava; Vincent R. H. Lorentz (IECON, 2019)

Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning. - Georg Kruse; Dominik Happel; Stefan Ditze; Stefan Ehrlich; Andreas Rosskopf (CoRR, 2023)

Continuously Adapting Random Sampling (CARS) for Power Electronics Parameter Design. - Dominik Happel; Philipp Brendel; Andreas Rosskopf; Stefan Ditze (CoRR, 2023)

Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization. - Georg Kruse; Rodrigo Coelho; Andreas Rosskopf; Robert Wille; Jeanette Miriam Lorenz (QCE, 2024)

Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization. - Georg Kruse; Rodrigo Coehlo; Andreas Rosskopf; Robert Wille; Jeanette Miriam Lorenz (CoRR, 2024)

Quantum-Efficient Kernel Target Alignment. - Rodrigo Coelho; Georg Kruse; Andreas Rosskopf (ICAART (1), 2025)

Benchmarking Quantum Reinforcement Learning. - Georg Kruse; Rodrigo Coelho; Andreas Rosskopf; Robert Wille; Jeanette Miriam Lorenz (ICAART (1), 2025)

Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings. - Christopher Straub; Philipp Brendel; Vlad Medvedev; Andreas Rosskopf (CoRR, 2025)