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20212026
most citedThe Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo

119 citations · 152 across the 29 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

quant-ph2025

Quantum Architecture Search for Solving Quantum Machine Learning Tasks

Michael Kölle, Simon Salfer, Tobias Rohe +2

Quantum computing leverages quantum mechanics to address computational problems in ways that differ fundamentally from classical approaches. While current quantum hardware remains…

quant-ph2025

Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits

Michael Kölle, Leonhard Klingert, Julian Schönberger +3

Quantum computing is an emerging field in computer science that has seen considerable progress in recent years, especially in machine learning. By harnessing the principles of quan…

quant-ph2025

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms

Leo Sünkel, Philipp Altmann, Michael Kölle +3

We apply a hybrid evolutionary algorithm to minimize the depth of circuits in quantum computing. More specifically, we evaluate two different variants of the algorithm. In the firs…

quant-ph2025

Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis

Michael Kölle, Tom Bintener, Maximilian Zorn +4

Quantum computing leverages the unique properties of qubits and quantum parallelism to solve problems intractable for classical systems, offering unparalleled computational potenti…

cs.MA2025

PIMAEX: Multi-Agent Exploration through Peer Incentivization

Michael Kölle, Johannes Tochtermann, Julian Schönberger +3

While exploration in single-agent reinforcement learning has been studied extensively in recent years, considerably less work has focused on its counterpart in multi-agent reinforc…

cs.LG2025

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs

Tobias Rohe, Florian Burger, Michael Kölle +3

The demand for artificially generated data for the development, training and testing of new algorithms is omnipresent. Quantum computing (QC), does offer the hope that its inherent…

cs.AI2025

Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning

Tobias Rohe, Michael Kölle, Jan Matheis +3

Satellite communication is a key technology in our modern connected world. With increasingly complex hardware, one challenge is to efficiently configure links (connections) on a sa…