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Joel Oskarsson

PhD student

My research interests are in spatio-temporal and graph-based machine learning.

Presentation

I am a PhD-student at the Division of Statistics and Machine Learning. My main supervisor is Fredrik Lindsten and co-supervisors and Jose M. Peña. I am an .

Research

In my research I aim to develop machine learning methods for structured data. I develop methods for data with spatial-, temporal- and graph-structure, including combinations of these. In particular, I am interested in how more traditional probabilistic methods in these domains can be combined with deep learning in order to derive new methods with useful properties.

For more information, please visit .

Publications

2024

Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten (2024) Advances in Neural Information Processing Systems: 38th Conference on Neural Information Processing Systems (NeurIPS 2024), p. 41577-41648 (Conference paper)

2023

Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk (2023) IEEE Transactions on Intelligent Vehicles, Vol. 8, p. 4223-4236 (Article in journal)
Joel Oskarsson, Per Sidén, Fredrik Lindsten (2023) Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, p. 4515-4531 (Conference paper)
Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk (2023) 2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV (Conference paper)
Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk (2023)

Research

About the Division

Colleagues at STIMA

About the Department