| 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 8 (9), 4223-4236, 2023 | 59 | 2023 |
| Probabilistic weather forecasting with hierarchical graph neural networks J Oskarsson, T Landelius, M Deisenroth, F Lindsten Advances in Neural Information Processing Systems 37, 41577-41648, 2024 | 32 | 2024 |
| Graph-based Neural Weather Prediction for Limited Area Modeling J Oskarsson, T Landelius, F Lindsten NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023 | 29 | 2023 |
| Temporal graph neural networks for irregular data J Oskarsson, P Sidén, F Lindsten International Conference on Artificial Intelligence and Statistics, 4515-4531, 2023 | 27 | 2023 |
| 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 | 16 | 2023 |
| Continuous ensemble weather forecasting with diffusion models M Andrae, T Landelius, J Oskarsson, F Lindsten arXiv preprint arXiv:2410.05431, 2024 | 14 | 2024 |
| Diffusion-lam: Probabilistic limited area weather forecasting with diffusion E Larsson, J Oskarsson, T Landelius, F Lindsten arXiv preprint arXiv:2502.07532, 2025 | 12 | 2025 |
| Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings S Adamov, J Oskarsson, L Denby, T Landelius, K Hintz, S Christiansen, ... arXiv preprint arXiv:2504.09340, 2025 | 10 | 2025 |
| Scalable deep Gaussian Markov random fields for general graphs J Oskarsson, P Sidén, F Lindsten International conference on machine learning, 17117-17137, 2022 | 8 | 2022 |
| Probabilistic regression using conditional generative adversarial networks J Oskarsson | 8 | 2020 |
| Uncertainty quantification of surrogate models using conformal prediction V Gopakumar, A Gray, J Oskarsson, D Giles, L Zanisi, M Kusner, ... Machine Learning: Science and Technology, 2024 | 7 | 2024 |
| Neural-ROM: A Graph Neural Network for Probabilistic Regional Ocean Forecasting in the Baltic Sea D Holmberg, E Larsson, J Oskarsson AGU25, 2025 | | 2025 |
| CRPS-LAM: Regional ensemble weather forecasting from matching marginals E Larsson, J Oskarsson, T Landelius, F Lindsten arXiv preprint arXiv:2510.09484, 2025 | | 2025 |
| Modeling Spatio-Temporal Systems with Graph-based Machine Learning J Oskarsson Linköping University Electronic Press, 2025 | | 2025 |
| Realtidsmultiplayerspel på IoT-backend J Almqvist, B Detterfelt, T Håkansson, D Kjellström, A Löjdquist, ... | | 2018 |
Fredrik LindstenAssociate Professor, Linköping UniversityVerified email at liu.se
