| Mg-gan: A multi-generator model preventing out-of-distribution samples in pedestrian trajectory prediction P Dendorfer, S Elflein, L Leal-Taixé Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 95 | 2021 |
| Analysis of the effect of various input representations for LSTM-based trajectory prediction A Breuer, S Elflein, T Joseph, JA Bolte, S Homoceanu, T Fingscheidt 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2728-2735, 2019 | 24 | 2019 |
| Out-of-distribution Detection with Energy-based Models S Elflein arXiv preprint arXiv:2302.12002, 2023 | 17 | 2023 |
| Detecting parametric dependencies for performance models using feature selection techniques J Grohmann, S Eismann, S Elflein, J Kistowski, S Kounev, M Mazkatli 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019 | 14 | 2019 |
| Master's Thesis: Out-of-distribution Detection with Energy-based Models S Elflein arXiv preprint arXiv:2302.12002, 2023 | 6 | 2023 |
| Uncertainty Estimation for Deep Medical Image Segmentation M Alamleh, G Brasó, Y Chen, S Elflein, M Hermann, MDG Ghazaei, ... | | 2020 |
| MG-GAN: Supplementary Material P Dendorfer, S Elflein, L Leal-Taixé | | |
| Automatic Identification of Parametric Dependencies for Performance Models S Elflein, IS Kounev, J Grohmann, S Eismann | | |
