Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space. - Marion Neumeier; Michael Botsch; Andreas Tollkühn; Thomas Berberich (ITSC, 2021)

A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction. - Marion Neumeier; Andreas Tollkühn; Michael Botsch; Wolfgang Utschick (ITSC, 2022)

Data Rate Reduction for Video Streams in Teleoperated Driving. - Stefan Neumeier; Vaibhav Bajpai; Marion Neumeier; Christian Facchi; Jörg Ott (IEEE Trans. Intell. Transp. Syst., 2022)

Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain. - Marion Neumeier; Sebastian Dorn; Michael Botsch; Wolfgang Utschick (ITSC, 2023)

Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. - Marion Neumeier; Andreas Tollkühn; Sebastian Dorn; Michael Botsch; Wolfgang Utschick (IV, 2023)

Gradient Derivation for Learnable Parameters in Graph Attention Networks. - Marion Neumeier; Andreas Tollkühn; Sebastian Dorn; Michael Botsch; Wolfgang Utschick (CoRR, 2023)

Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. - Marion Neumeier; Sebastian Dorn; Michael Botsch; Wolfgang Utschick (CVPR Workshops, 2024)

Assessing the Completeness of Traffic Scenario Categories for Automated Highway Driving Functions via Cluster-based Analysis. - Niklas Roßberg; Marion Neumeier; Sinan Hasirlioglu; Mohamed Essayed Bouzouraa; Michael Botsch (CoRR, 2025)