Toni Karvonen
TitleCited byYear
A Bayes-Sard Cubature Method
T Karvonen, CJ Oates, S Särkkä
preprint, arXiv:1804.03016, 2018
202018
Fully symmetric kernel quadrature
T Karvonen, S Särkkä
SIAM Journal on Scientific Computing 40 (2), A697–A720, 2018
142018
Classical quadrature rules via Gaussian processes
T Karvonen, S Särkkä
IEEE 27th International Workshop on Machine Learning for Signal Processing …, 2017
122017
Stability of linear and non-linear Kalman filters
T Karvonen
Master's thesis, 2014
102014
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise
J Prüher, F Tronarp, T Karvonen, S Särkkä, O Straka
20th International Conference on Information Fusion (FUSION), 2017
92017
Approximate state-space Gaussian processes via spectral transformation
T Karvonen, S Särkkä
IEEE 26th International Workshop on Machine Learning for Signal Processing …, 2016
62016
Symmetry Exploits for Bayesian Cubature Methods
T Karvonen, S Särkkä, C Oates
preprint, arXiv:1809.10227, 2018
42018
Fourier-Hermite series for stochastic stability analysis of non-linear Kalman filters
T Karvonen, S Särkkä
19th International Conference on Information Fusion (FUSION), 1829-1836, 2016
32016
Improved Calibration of Numerical Integration Error in Sigma-Point Filters
J Prüher, T Karvonen, CJ Oates, O Straka, S Särkkä
arXiv preprint arXiv:1811.11474, 2018
22018
On stability of a class of filters for non-linear stochastic systems
T Karvonen, S Bonnabel, E Moulines, S Särkkä
preprint, arXiv:1809.05667, 2018
22018
Gaussian kernel quadrature at scaled Gauss-Hermite nodes
T Karvonen, S Särkkä
preprint, arXiv:1803.09532, 2018
22018
Bounds on the covariance matrix of a class of Kalman–Bucy filters for systems with non-linear dynamics
T Karvonen, S Bonnabel, E Moulines, S Särkkä
57th IEEE Conference on Decision and Control, 2018
12018
Student's -Filters for Noise Scale Estimation
F Tronarp, T Karvonen, S Särkkä
IEEE Signal Processing Letters 26 (2), 352-356, 2019
2019
Kernel-Based and Bayesian Methods for Numerical Integration
T Karvonen
Aalto University, 2019
2019
Asymptotics of maximum likelihood parameter estimates for Gaussian processes: the Ornstein–Uhlenbeck prior
T Karvonen, F Tronarp, S Särkkä
2019
On the positivity and magnitudes of Bayesian quadrature weights
T Karvonen, M Kanagawa, S Särkkä
preprint, arXiv:1812.08509, 2018
2018
Mixture representation of the Matérn class with applications in state space approximations and Bayesian quadrature
F Tronarp, T Karvonen, S Särkkä
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
2018
Where is physiological noise lurking in k-space?
T Karvonen, A Solin, ÁF García-Fernández, F Tronarp, S Särkkä, FH Lin
Proceedings of ISMRM 2017, 25th Annual Meeting & Exhibition, 2017
2017
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Articles 1–18