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Joel Oskarsson
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2020 – today
- 2024
- [i8]Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten:
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks. CoRR abs/2406.04759 (2024) - [i7]Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt Kusner, Marc Peter Deisenroth:
Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction. CoRR abs/2408.09881 (2024) - [i6]Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten:
Continuous Ensemble Weather Forecasting with Diffusion models. CoRR abs/2410.05431 (2024) - 2023
- [j1]Theodor Westny
, Joel Oskarsson
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs. IEEE Trans. Intell. Veh. 8(9): 4223-4236 (2023) - [c3]Joel Oskarsson
Temporal Graph Neural Networks for Irregular Data. AISTATS 2023: 4515-4531 - [c2]Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. IV 2023: 1-8 - [i5]Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs. CoRR abs/2302.00735 (2023) - [i4]Joel Oskarsson, Per Sidén, Fredrik Lindsten:
Temporal Graph Neural Networks for Irregular Data. CoRR abs/2302.08415 (2023) - [i3]Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction. CoRR abs/2304.05116 (2023) - [i2]Joel Oskarsson, Tomas Landelius, Fredrik Lindsten:
Graph-based Neural Weather Prediction for Limited Area Modeling. CoRR abs/2309.17370 (2023) - 2022
- [c1]Joel Oskarsson
Scalable Deep Gaussian Markov Random Fields for General Graphs. ICML 2022: 17117-17137 - [i1]Joel Oskarsson, Per Sidén, Fredrik Lindsten:
Scalable Deep Gaussian Markov Random Fields for General Graphs. CoRR abs/2206.05032 (2022)
Coauthor Index
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