Arno Solin
Arno Solin
Assistant Professor in Machine Learning, Aalto University
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Optimal filtering with Kalman filters and smoothers
J Hartikainen, A Solin, S Särkkä
Department of Biomedical Engineering and Computational Science, Aalto …, 2011
Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing
S Särkkä, A Solin, J Hartikainen
Signal Processing Magazine 30 (4), 51-61, 2013
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
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
A Solin, S Särkkä
arXiv preprint arXiv:1401.5508, 2014
On Continuous-Discrete Cubature Kalman Filtering
S Särkkä, A Solin
16th IFAC Symposium on System Identification (Sysid 2012), 2012
Explicit link between periodic covariance functions and state space models
A Solin, S Särkkä
Proceedings of the Seventeenth International Conference on Artificial …, 2014
Variational Fourier Features for Gaussian Processes
J Hensman, N Durrande, A Solin
Journal of Machine Learning Research 18 (151), 1-52, 2018
Expectation maximization based parameter estimation by sigma-point and particle smoothing
J Kokkala, A Solin, S Särkkä
Information Fusion (FUSION), 2014 17th International Conference on, 1-8, 2014
Infinite-dimensional Bayesian filtering for detection of quasiperiodic phenomena in spatiotemporal data
A Solin, S Särkkä
Physical Review E 88 (5), 052909, 2013
Computationally efficient Bayesian learning of Gaussian process state space models
A Svensson, A Solin, S Särkkä, T Schön
Artificial Intelligence and Statistics, 213-221, 2016
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, 1-16, 2018
Cubature Integration Methods in Non-Linear Kalman Filtering and Smoothing
A Solin
Aalto University, 2010
Sigma-point filtering and smoothing based parameter estimation in nonlinear dynamic systems
J Kokkala, A Solin, S Särkkä
arXiv preprint arXiv:1504.06173, 2015
Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning
A Solin, S Särkkä, J Kannala, E Rahtu
Navigation Conference (ENC), 2016 European, 1-9, 2016
State space methods for efficient inference in Student-t process regression
A Solin, S Särkkä
Proceedings of the Eighteenth International Conference on Artificial …, 2015
Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions
A Solin, S Särkkä
IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2014
Inertial odometry on handheld smartphones
A Solin, S Cortes, E Rahtu, J Kannala
2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
M Kok, A Solin
arXiv preprint arXiv:1804.01926, 2018
PIVO: Probabilistic inertial-visual odometry for occlusion-robust navigation
A Solin, S Cortes, E Rahtu, J Kannala
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 616-625, 2018
Stochastic Differential Equation Methods for Spatio-Temporal Gaussian Process Regression
A Solin
Aalto University, 2016
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Artikkelit 1–20