Joel Oskarsson

17 papers A* 3A 1C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings. CoRR Simon Adamov, Joel Oskarsson, Leif C. Denby, Tomas Landelius, Kasper Hintz, Simon Christiansen, Irene Schicker, Carlos Osuna, Fredrik Lindsten, Oliver Fuhrer, Sebastian Schemm
2025	J	`jnl`	CRPS-LAM: Regional ensemble weather forecasting from matching marginals. CoRR Erik Larsson, Joel Oskarsson, Tomas Landelius, Fredrik Lindsten
2025	A*	`conf`	Continuous Ensemble Weather Forecasting with Diffusion models. ICLR Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten
2025	J	`jnl`	Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion. CoRR Erik Larsson, Joel Oskarsson, Tomas Landelius, Fredrik Lindsten
2024	J	`jnl`	Continuous Ensemble Weather Forecasting with Diffusion models. CoRR Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten
2024	A*	`conf`	Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks. NeurIPS Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten
2024	J	`jnl`	Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks. CoRR Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten
2024	J	`jnl`	Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction. CoRR Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2023	C	`conf`	Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. IV Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. CoRR Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	Graph-based Neural Weather Prediction for Limited Area Modeling. CoRR Joel Oskarsson, Tomas Landelius, Fredrik Lindsten
2023	J	`jnl`	MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs. IEEE Trans. Intell. Veh. Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	J	`jnl`	MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs. CoRR Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk
2023	A	`conf`	Temporal Graph Neural Networks for Irregular Data. AISTATS Joel Oskarsson, Per Sidén, Fredrik Lindsten
2023	J	`jnl`	Temporal Graph Neural Networks for Irregular Data. CoRR Joel Oskarsson, Per Sidén, Fredrik Lindsten
2022	A*	`conf`	Scalable Deep Gaussian Markov Random Fields for General Graphs. ICML Joel Oskarsson, Per Sidén, Fredrik Lindsten
2022	J	`jnl`	Scalable Deep Gaussian Markov Random Fields for General Graphs. CoRR Joel Oskarsson, Per Sidén, Fredrik Lindsten