TY - INPR A1 - Neumeier, Marion A1 - Tollkühn, Andreas A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Gradient Derivation for Learnable Parameters in Graph Attention Networks KW - machine learning KW - artificial intelligence Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2304.10939 ER - TY - CHAP A1 - Neumeier, Marion A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models T2 - Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops KW - conditioned Vehicle Motion Diffusion (cVMD) KW - machine learning KW - trajectory prediction Y1 - 2024 UR - https://openaccess.thecvf.com/content/CVPR2024W/SAIAD/html/Neumeier_Reliable_Trajectory_Prediction_and_Uncertainty_Quantification_with_Conditioned_Diffusion_Models_CVPRW_2024_paper.html SN - 979-8-3503-6547-4 U6 - https://doi.org/10.1109/CVPRW63382.2024.00350 SN - 2160-7516 N1 - Except for the watermark, thecvf-version is identical to the accepted version; the final published version of the proceedings is available on IEEE Xplore. SP - 3461 EP - 3470 PB - Computer Vision Foundation ER - TY - INPR A1 - Neumeier, Marion A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models KW - conditioned Vehicle Motion Diffusion (cVMD) KW - trajectory prediction KW - machine learning Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2405.14384 N1 - Accepted at IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024 N1 - Lizenz: http://arxiv.org/licenses/nonexclusive-distrib/1.0/ ER -