300 citations · 335 across the 8 of their papers we have counts for
10 papers
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms
Marcus Märtens, Dario Izzo
Interpretable regression models are important for many application domains, as they allow experts to understand relations between variables from sparse data. Symbolic regression ad…
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11
Marcus Märtens, Dario Izzo, Emmanuel Blazquez +7
Dyson spheres are hypothetical megastructures encircling stars in order to harvest most of their energy output. During the 11th edition of the GTOC challenge, participants were tas…
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer +2
Autonomous vision-based spaceborne navigation is an enabling technology for future on-orbit servicing and space logistics missions. While computer vision in general has benefited f…
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results
Mate Kisantal, Sumant Sharma, Tae Ha Park +3
Reliable pose estimation of uncooperative satellites is a key technology for enabling future on-orbit servicing and debris removal missions. The Kelvins Satellite Pose Estimation C…
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression
Marcus Märtens, Dario Izzo
The ability to design complex neural network architectures which enable effective training by stochastic gradient descent has been the key for many achievements in the field of dee…
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks
Marcus Märtens, Dario Izzo, Andrej Krzic +1
ESA's PROBA-V Earth observation satellite enables us to monitor our planet at a large scale, studying the interaction between vegetation and climate and provides guidance for impor…