2 papers
cs.LG2026
Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept
Christian Wittke, Stephan Myschik, Oliver Niggemann
We investigate conditional invertible neural networks (cINNs) as probabilistic inverse-dynamics models for multirotor control. For a planar X8 coaxial multicopter, we learn $p(u \m…
cond-mat.mtrl-sci2023
Position Paper on Materials Design -- A Modern Approach
Willi Grossmann, Sebastian Eilermann, Tim Rensmeyer +4
Traditional design cycles for new materials and assemblies have two fundamental drawbacks. The underlying physical relationships are often too complex to be precisely calculated an…