Parallel and distributed computing for Bayesian graphical models

Särkkä, Simo (Principal investigator)
Merkatas, Christos (Project Member)
Yamin, Abubakar (Project Member)
Corenflos, Adrien (Project Member)
Ma, Xiaofeng (Project Member)
Emzir, Muhammad (Project Member)
Yaghoobi, Fatemeh (Project Member)
Hassan, Syeda Sakira (Project Member)

Department of Electrical Engineering and Automation

3 Conference contribution
3 Article

3 results

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2022
Temporal Gaussian Process Regression in Logarithmic Time
Corenflos, A., Zhao, Z. & Sarkka, S., 2022, 2022 25th International Conference on Information Fusion, FUSION 2022. IEEE, p. 1-5 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
1 Citation (Scopus)
2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Corenflos, A., Thornton, J., Deligiannidis, G. & Doucet, A., 2021, Proceedings of Machine Learning Research. Meila, M. & Zhang, T. (eds.). JMLR, 12 p. (Proceedings of Machine Learning Research; vol. 139).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
2020
Parameter estimation in non-linear state-space models by automatic differentiation of non-linear kalman filters
Gorad, A., Zhao, Z. & Särkkä, S., Sept 2020, Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020. IEEE, 6 p. 9231844. (IEEE International Workshop on Machine Learning for Signal Processing).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
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