Joel Oskarsson

According to our database, Joel Oskarsson authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Continuous Ensemble Weather Forecasting with Diffusion models.

Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten

CoRR, 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 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 38: 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