Joel Oskarsson

According to our database, Joel Oskarsson authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting.

Daniel Holmberg, Joel Oskarsson, Erik Wikingsson, Fredrik Lindsten, Teemu Roos

CoRR, May, 2026

2025

CRPS-LAM: Regional ensemble weather forecasting from matching marginals.

Erik Larsson, Joel Oskarsson, Tomas Landelius, Fredrik Lindsten

CoRR, October, 2025

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings.

Simon Adamov, Joel Oskarsson, Leif C. Denby, Tomas Landelius, Kasper Hintz, Simon Christiansen, Irene Schicker, Carlos Osuna, Fredrik Lindsten, Oliver Fuhrer, Sebastian Schemm

CoRR, April, 2025

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion.

Erik Larsson, Joel Oskarsson, Tomas Landelius, Fredrik Lindsten

CoRR, February, 2025

Continuous Ensemble Weather Forecasting with Diffusion models.

Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction.

Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth

CoRR, 2024

Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks.

Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs.

Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk

IEEE Trans. Intell. Veh., September, 2023

Graph-based Neural Weather Prediction for Limited Area Modeling.

Joel Oskarsson, Tomas Landelius, Fredrik Lindsten

CoRR, 2023

Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction.

Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Temporal Graph Neural Networks for Irregular Data.

Joel Oskarsson, Per Sidén, Fredrik Lindsten

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Scalable Deep Gaussian Markov Random Fields for General Graphs.

Joel Oskarsson, Per Sidén, Fredrik Lindsten

Proceedings of the International Conference on Machine Learning, 2022