Sequential inference for real-time probabilistic modelling

Project Details

StatusFinished
Effective start/end date01/09/201731/08/2020

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming

    Riutort-Mayol, G., Bürkner, P. C., Andersen, M. R., Solin, A. & Vehtari, A., Feb 2023, In: STATISTICS AND COMPUTING. 33, 1, p. 1-28 28 p., 17.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
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    14 Citations (Scopus)
    183 Downloads (Pure)
  • Gaussian Process Priors for View-Aware Inference

    Hou, Y., Heljakka, A. & Solin, A., 2021, THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. AAAI Press, p. 7762-7770 9 p. (AAAI Conference on Artificial Intelligence; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation

    Solin, A., Cortés Reina, S., Rahtu, E. & Kannala, J., 2018, Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. IEEE, p. 616-625 10 p. (IEEE Winter Conference on Applications of Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    29 Citations (Scopus)
    311 Downloads (Pure)