Toni Karvonen
Toni Karvonen
Research Fellow, The Alan Turing Institute
Verified email at turing.ac.uk - Homepage
TitleCited byYear
A Bayes-Sard Cubature Method
T Karvonen, CJ Oates, S Särkkä
Advances in Neural Information Processing Systems 31, 5882-5893, 2018
242018
Fully symmetric kernel quadrature
T Karvonen, S Särkkä
SIAM Journal on Scientific Computing 40 (2), A697–A720, 2018
152018
Stability of linear and non-linear Kalman filters
T Karvonen
Master's thesis, 2014
152014
Classical quadrature rules via Gaussian processes
T Karvonen, S Särkkä
IEEE 27th International Workshop on Machine Learning for Signal Processing …, 2017
142017
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
Symmetry Exploits for Bayesian Cubature Methods
T Karvonen, S Särkkä, C Oates
Statistics and Computing 29 (6), 1231-1248, 2019
62019
Approximate state-space Gaussian processes via spectral transformation
T Karvonen, S Särkkä
IEEE 26th International Workshop on Machine Learning for Signal Processing …, 2016
62016
Gaussian kernel quadrature at scaled Gauss-Hermite nodes
T Karvonen, S Särkkä
BIT Numerical Mathematics 59 (4), 877-902, 2019
32019
Improved Calibration of Numerical Integration Error in Sigma-Point Filters
J Prüher, T Karvonen, CJ Oates, O Straka, S Särkkä
preprint, arXiv:1811.11474, 2018
32018
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
32018
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
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
Z Zhao, T Karvonen, R Hostettler, S Särkkä
preprint, arXiv:2001.02466, 2020
12020
Asymptotics of maximum likelihood parameter estimates for Gaussian processes: the Ornstein–Uhlenbeck prior
T Karvonen, F Tronarp, S Särkkä
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
12019
Worst-case optimal approximation with increasingly flat Gaussian kernels
T Karvonen, S Särkkä
preprint, arXiv:1906.02096, 2019
12019
Student's -Filters for Noise Scale Estimation
F Tronarp, T Karvonen, S Särkkä
IEEE Signal Processing Letters 26 (2), 352-356, 2019
12019
Kernel-Based and Bayesian Methods for Numerical Integration
T Karvonen
Doctoral dissertation, 2019
12019
On the positivity and magnitudes of Bayesian quadrature weights
T Karvonen, M Kanagawa, S Särkkä
Statistics and Computing 29 (6), 1317-1333, 2019
12019
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 (CDC), 7176-7181, 2018
12018
Semi-exact control functionals from Sard's method
LF South, T Karvonen, C Nemeth, M Girolami, C Oates
preprint, arXiv:2002.00033, 2020
2020
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
T Karvonen, G Wynne, F Tronarp, CJ Oates, S Särkkä
preprint, arXiv:2001.10965, 2020
2020
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