Arno Solin
Arno Solin
Assistant Professor in Machine Learning, Aalto University
Verified email at - Homepage
Cited by
Cited by
Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing
S Särkkä, A Solin, J Hartikainen
Signal Processing Magazine 30 (4), 51-61, 2013
Optimal filtering with Kalman filters and smoothers–a Manual for Matlab toolbox EKF/UKF
J Hartikainen, A Solin, S Särkkä
Biomedical Engineering, 1-57, 2008
Optimal filtering with Kalman filters and smoothers
J Hartikainen, A Solin, S Särkkä
Department of Biomedical Engineering and Computational Science, Aalto …, 2011
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
Variational Fourier Features for Gaussian Processes
J Hensman, N Durrande, A Solin
Journal of Machine Learning Research 18 (151), 1-52, 2018
Hilbert space methods for reduced-rank Gaussian process regression
A Solin, S Särkkä
Statistics and Computing 30 (2), 419-446, 2020
Applied Stochastic Differential Equations
S Särkkä, A Solin
Cambridge University Press, 2019
Explicit link between periodic covariance functions and state space models
A Solin, S Särkkä
Proceedings of the Seventeenth International Conference on Artificial …, 2014
On Continuous-Discrete Cubature Kalman Filtering
S Särkkä, A Solin
16th IFAC Symposium on System Identification (Sysid 2012), 2012
Institute of Mathematical Statistics Textbooks
G Grimmett, F Kelly, E Yudovina, S Särkkä, D Romik, C Garban, JE Steif, ...
Cambridge University Press, 2010
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
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
Inertial odometry on handheld smartphones
A Solin, S Cortes, E Rahtu, J Kannala
2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018
Expectation maximization based parameter estimation by sigma-point and particle smoothing
J Kokkala, A Solin, S Särkkä
17th International Conference on Information Fusion (FUSION), 1-8, 2014
Sigma-point filtering and smoothing based parameter estimation in nonlinear dynamic systems
J Kokkala, A Solin, S Särkkä
Journal of Advances in Information Fusion 11 (1), 15–30, 2015
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
Infinite-dimensional Bayesian filtering for detection of quasiperiodic phenomena in spatiotemporal data
A Solin, S Särkkä
Physical Review E 88 (5), 052909, 2013
Pioneer Networks: Progressively Growing Generative Autoencoder
A Heljakka, A Solin, J Kannala
Asian Conference on Computer Vision, 22-38, 2018
ADVIO: An authentic dataset for visual-inertial odometry
S Cortés, A Solin, E Rahtu, J Kannala
Proceedings of the European Conference on Computer Vision (ECCV), 419-434, 2018
State Space Gaussian Processes with Non-Gaussian Likelihood
H Nickisch, A Solin, A Grigorievskiy
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
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