Toni Karvonen

I am a third-year doctoral student in the research group of sensor informatics and medical technology at the Department of Electrical Engineering and Automation, Aalto University, Finland. The group is led by my supervisor, Prof. Simo Särkkä.

My main research interests are

Contact Information

email: toni.karvonen@aalto.fi

Street Address

Room F322, F-talo
Rakentajanaukio 2C
Espoo, Finland

Postal Address

PO box 12200
FIN-00076 AALTO
FINLAND

Publications (Google Scholar)

Preprints

  1. Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondřej Straka and Simo Särkkä (2018). Improved calibration of numerical integration error in sigma-point filters. arXiv:1811.11474.
  2. Toni Karvonen, Simo Särkkä and Chris J. Oates (2018). Symmetry exploits for Bayesian cubature methods. arXiv:1809.10227.
  3. Toni Karvonen, Silvère Bonnabel, Eric Moulines and Simo Särkkä (2018). On stability of a class of filters for non-linear stochastic systems. arXiv:1809.05667.
  4. Toni Karvonen and Simo Särkkä (2018). Gaussian kernel quadrature at scaled Gauss–Hermite nodes. arXiv:1803.09532.

Journal articles

  1. Toni Karvonen and Simo Särkkä (2018). Fully symmetric kernel quadrature. SIAM Journal on Scientific Computing, 40(2):A697–A720.

Conference proceedings

  1. Toni Karvonen, Chris J. Oates and Simo Särkkä (2018). A Bayes–Sard cubature method. In Advances in Neural Information Processing Systems 31 (NeurIPS 2018). To appear.
  2. Toni Karvonen, Silvère Bonnabel, Eric Moulines and Simo Särkkä (2018). Bounds on the covariance matrix of a class of Kalman–Bucy filters for systems with non-linear dynamics. In 57th IEEE Conference on Decision and Control. To appear.
  3. Filip Tronarp, Toni Karvonen and Simo Särkkä (2018). Mixture representation of the Matérn class with applications in state space approximations and Bayesian quadrature. In 28th IEEE International Workshop on Machine Learning for Signal Processing.
  4. Toni Karvonen and Simo Särkkä (2017). Classical quadrature rules via Gaussian processes. In 27th IEEE International Workshop on Machine Learning for Signal Processing.
  5. Jakub Prüher, Filip Tronarp, Toni Karvonen, Simo Särkkä and Ondřej Straka (2017). Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise. In 20th International Conference on Information Fusion. Tammy Blair Best Student Paper Award, first runner-up.
  6. Toni Karvonen, Arno Solin, Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä and Fa-Hsuan Lin (2017). Where is physiological noise lurking in k-space? In Proceedings of ISMRM 2017, 25th Annual Meeting & Exhibition. Appeared as abstract and e-poster.
  7. Toni Karvonen and Simo Särkkä (2016). Approximate state-space Gaussian processes via spectral transformation. In 26th IEEE International Workshop on Machine Learning for Signal Processing.
  8. Toni Karvonen and Simo Särkkä (2016). Fourier–Hermite series for stochastic stability analysis of non-linear Kalman filters. In 19th International Conference on Information Fusion, pp. 1829–1836.

Theses


Talks and posters

Upcoming

Past


Updated on December 12, 2018.