| Reinforcement learning control of a forestry crane manipulator J Andersson, K Bodin, D Lindmark, M Servin, E Wallin 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 46 | 2021 |
| Ising on the graph: Task-specific graph subsampling via the Ising model M Bånkestad, JR Andersson, S Mair, J Sjölund arXiv preprint arXiv:2402.10206, 2024 | 6 | 2024 |
| Anomaly detection for the centralised Elasticsearch service at CERN JR Andersson, JA Moya, U Schwickerath Frontiers in big Data 4, 718879, 2021 | 5 | 2021 |
| Anomaly Detection in the Elasticsearch Service J Andersson, U Schwickerath Geneva: Zenodo 10, 2019 | 4 | 2019 |
| Predicting gripability heatmaps using conditional gans J Andersson, M Servin Umeå universitet, 2021 | 3 | 2021 |
| Simulation-Driven Machine Learning Control of a Forestry Crane Manipulator J Andersson | 2 | 2020 |
| Diffusion differentiable resampling JR Andersson, Z Zhao arXiv preprint arXiv:2512.10401, 2025 | 1 | 2025 |
| Bayesian Uncertainty Quantification in High-dimensional Stellar Magnetic Field Models JR Andersson, O Kochukhov, Z Zhao, J Sjölund Machine Learning for Astrophysics, 2, 2023 | 1 | 2023 |
| Probabilistic Zeeman-Doppler imaging of stellar magnetic fields-I. Analysis of τ Scorpii in the weak-field limit JR Andersson, O Kochukhov, Z Zhao, J Sjölund Astronomy & Astrophysics 699, A63, 2025 | | 2025 |
| Probabilistic Zeeman-Doppler imaging of stellar magnetic fields JR Andersson, O Kochukhov, Z Zhao, J Sjölund | | 2025 |