Artigos com autorizações de acesso público - Simo SärkkäSaiba mais
3 artigos não disponíveis publicamente
On the use of gradient information in Gaussian process quadratures
J Prüher, S Särkkä
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
Autorizações: Academy of Finland
Hilbert-space reduced-rank methods for deep Gaussian processes
MF Emzir, S Lasanen, Z Purisha, S Särkkä
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
Autorizações: Academy of Finland
On-line Bayesian parameter estimation in electrocardiogram state space models
K Suotsalo, S Särkkä
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
Autorizações: Business Finland
115 artigos disponíveis publicamente
Hilbert space methods for reduced-rank Gaussian process regression
A Solin, S Särkkä
Statistics and Computing 30 (2), 419-446, 2020
Autorizações: Academy of Finland
A survey of Monte Carlo methods for parameter estimation
D Luengo, L Martino, M Bugallo, V Elvira, S Särkkä
EURASIP Journal on Advances in Signal Processing 2020, 1-62, 2020
Autorizações: US National Science Foundation, Academy of Finland, European Commission …
Modeling and interpolation of the ambient magnetic field by Gaussian processes
A Solin, M Kok, N Wahlström, TB Schön, S Särkkä
IEEE Transactions on robotics 34 (4), 1112-1127, 2018
Autorizações: Academy of Finland, Swedish Research Council, UK Engineering and Physical …
Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER
S Särkkä, A Solin, A Nummenmaa, A Vehtari, T Auranen, S Vanni, FH Lin
NeuroImage 60 (2), 1517-1527, 2012
Autorizações: US National Institutes of Health
Posterior linearization filter: Principles and implementation using sigma points
ÁF García-Fernández, L Svensson, MR Morelande, S Särkkä
IEEE transactions on signal processing 63 (20), 5561-5573, 2015
Autorizações: Australian Research Council
Statistical analysis of differential equations: introducing probability measures on numerical solutions
PR Conrad, M Girolami, S Särkkä, A Stuart, K Zygalakis
Statistics and Computing 27, 1065-1082, 2017
Autorizações: Academy of Finland, UK Engineering and Physical Sciences Research Council
Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression
S Anderson, TD Barfoot, CH Tong, S Särkkä
Autonomous Robots 39, 221-238, 2015
Autorizações: Natural Sciences and Engineering Research Council of Canada, Academy of Finland
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
F Tronarp, H Kersting, S Särkkä, P Hennig
Statistics and Computing 29, 1297-1315, 2019
Autorizações: US National Science Foundation, Academy of Finland, European Commission …
Gaussian process latent force models for learning and stochastic control of physical systems
S Särkkä, MA Alvarez, ND Lawrence
IEEE Transactions on Automatic Control 64 (7), 2953-2960, 2018
Autorizações: Academy of Finland, UK Engineering and Physical Sciences Research Council
Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter
IS Mbalawata, S Särkkä, M Vihola, H Haario
Computational Statistics & Data Analysis 83, 101-115, 2015
Autorizações: Academy of Finland
Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning
A Solin, S Särkkä, J Kannala, E Rahtu
2016 European Navigation Conference (ENC), 1-9, 2016
Autorizações: Academy of Finland
Iterative filtering and smoothing in nonlinear and non-Gaussian systems using conditional moments
F Tronarp, AF Garcia-Fernandez, S Särkkä
IEEE Signal Processing Letters 25 (3), 408-412, 2018
Autorizações: Academy of Finland
A Bayes-Sard cubature method
T Karvonen, CJ Oates, S Särkkä
arXiv preprint arXiv:1804.03016, 2018
Autorizações: US National Science Foundation, Academy of Finland
Bayesian ODE solvers: the maximum a posteriori estimate
F Tronarp, S Särkkä, P Hennig
Statistics and Computing 31 (3), 23, 2021
Autorizações: German Research Foundation, Academy of Finland, European Commission, Federal …
Temporal parallelization of Bayesian smoothers
S Särkkä, ÁF García-Fernández
IEEE Transactions on Automatic Control 66 (1), 299-306, 2020
Autorizações: Academy of Finland
Gyroscope-aided motion deblurring with deep networks
J Mustaniemi, J Kannala, S Särkkä, J Matas, J Heikkila
2019 IEEE winter conference on applications of computer vision (WACV), 1914-1922, 2019
Autorizações: Business Finland
Sigma-point filtering for nonlinear systems with non-additive heavy-tailed noise
F Tronarp, R Hostettler, S Särkkä
2016 19th International Conference on Information Fusion (FUSION), 1859-1866, 2016
Autorizações: Academy of Finland
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