| Mtp-go: Graph-based probabilistic multi-agent trajectory prediction with neural odes T Westny, J Oskarsson, B Olofsson, E Frisk IEEE Transactions on Intelligent Vehicles, 2023 | 17 | 2023 |
| Temporal graph neural networks for irregular data J Oskarsson, P Sidén, F Lindsten International Conference on Artificial Intelligence and Statistics, 4515-4531, 2023 | 9 | 2023 |
| Scalable deep Gaussian Markov random fields for general graphs J Oskarsson, P Sidén, F Lindsten International conference on machine learning, 17117-17137, 2022 | 5 | 2022 |
| Evaluation of differentially constrained motion models for graph-based trajectory prediction T Westny, J Oskarsson, B Olofsson, E Frisk 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 4 | 2023 |
| Probabilistic regression using conditional generative adversarial networks J Oskarsson | 3 | 2020 |
| Graph-based neural weather prediction for limited area modeling J Oskarsson, T Landelius, F Lindsten arXiv preprint arXiv:2309.17370, 2023 | 1 | 2023 |
| Realtidsmultiplayerspel på IoT-backend J Almqvist, B Detterfelt, T Håkansson, D Kjellström, A Löjdquist, ... | | 2018 |
Fredrik LindstenAssociate Professor, Linköping UniversityVerificeret mail på liu.se
