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Andreas Tollkühn
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Conference and Workshop Papers
- 2023
- [c5]Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. IV 2023: 1-8 - 2022
- [c4]Marion Neumeier, Andreas Tollkühn, Michael Botsch, Wolfgang Utschick:
A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction. ITSC 2022: 687-694 - 2021
- [c3]Marion Neumeier, Michael Botsch, Andreas Tollkühn, Thomas Berberich:
Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space. ITSC 2021: 820-827 - 2018
- [c2]Andreas Tollkühn, Florian Particke, Jörn Thielecke:
Gaussian State Estimation with Non-Gaussian Measurement Noise. SDF 2018: 1-5 - 2015
- [c1]Andreas Tollkühn, Jörn Thielecke, Anton Beitler:
A hidden markov laplacian method for GNSS multipath detection. SDF 2015: 1-6
Informal and Other Publications
- 2023
- [i4]Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Gradient Derivation for Learnable Parameters in Graph Attention Networks. CoRR abs/2304.10939 (2023) - [i3]Marion Neumeier, Andreas Tollkühn, Michael Botsch, Wolfgang Utschick:
A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction. CoRR abs/2305.07416 (2023) - [i2]Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick:
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. CoRR abs/2305.16196 (2023) - 2021
- [i1]Marion Neumeier, Andreas Tollkühn, Thomas Berberich, Michael Botsch:
Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space. CoRR abs/2103.13726 (2021)
Coauthor Index
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