Arno Solin

Cited by

	All	Since 2016
Citations	1552	1244
h-index	22	21
i10-index	29	27

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Co-authors

Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Juho KannalaAssistant Professor, Aalto University, FinlandVerified email at aalto.fi
Aki VehtariAssociate Professor, Aalto UniversityVerified email at aalto.fi
Fa-Hsuan LinSunnybrook Research Institute; University of TorontoVerified email at sri.utoronto.ca
Santiago Cortes ReinaPHD student, Aalto UniversityVerified email at aalto.fi
Esa RahtuAssistant Professor, Tampere University, FinlandVerified email at tuni.fi
Toni AuranenStaff Scientist, Aalto NeuroImaging, Aalto UniversityVerified email at aalto.fi
Ari HeljakkaAalto UniversityVerified email at aalto.fi
Manon KokAssistant Professor at the Delft Center for Systems and ControlVerified email at tudelft.nl
Simo VanniClinical Neurosciences, Neurology; University of Helsinki and Helsinki University HospitalVerified email at helsinki.fi
Yuxin HouAalto UniversityVerified email at aalto.fi
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
James HensmanPrincipal scientist, AmazonVerified email at amazon.com
Juho KokkalaVerified email at aalto.fi
Michael Riis AndersenAssistant professor, Technical University of DenmarkVerified email at dtu.dk
William J. Wilkinsonpostdoc, Aalto UniversityVerified email at aalto.fi
Nicolas DurrandeDirector of Research at SecondmindVerified email at secondmind.ai
Andreas Lindholm (Svensson)Machine Learning Research Engineer, AnnotellVerified email at annotell.com
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Niklas WahlströmAssistant Professor, Uppsala University, SwedenVerified email at it.uu.se

Arno Solin

Assistant Professor in Machine Learning, Aalto University

Verified email at aalto.fi - Homepage

Machine learning Bayesian nonparametrics Signal processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing S Särkkä, A Solin, J Hartikainen Signal Processing Magazine 30 (4), 51-61, 2013	166*	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	145	2008
Optimal filtering with Kalman filters and smoothers J Hartikainen, A Solin, S Särkkä Department of Biomedical Engineering and Computational Science, Aalto …, 2011	134*	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	111	2012
Variational Fourier Features for Gaussian Processes J Hensman, N Durrande, A Solin Journal of Machine Learning Research 18 (151), 1-52, 2018	106	2018
Applied Stochastic Differential Equations S Särkkä, A Solin Cambridge University Press, 2019	102	2019
Hilbert space methods for reduced-rank Gaussian process regression A Solin, S Särkkä Statistics and Computing 30 (2), 419-446, 2020	88	2020
Explicit link between periodic covariance functions and state space models A Solin, S Särkkä Proceedings of the Seventeenth International Conference on Artificial …, 2014	60	2014
On Continuous-Discrete Cubature Kalman Filtering S Särkkä, A Solin 16th IFAC Symposium on System Identification (Sysid 2012), 2012	49	2012
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	48	2018
Institute of Mathematical Statistics Textbooks G Grimmett, F Kelly, E Yudovina, S Särkkä, D Romik, C Garban, JE Steif, ... Cambridge University Press, 2010	42	2010
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	39	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	38	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	36	2014
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	30	2018
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	30	2015
Pioneer Networks: Progressively Growing Generative Autoencoder A Heljakka, A Solin, J Kannala Asian Conference on Computer Vision, 22-38, 2018	28	2018
Scalable magnetic field SLAM in 3D using gaussian process maps M Kok, A Solin 2018 21st International Conference on Information Fusion (FUSION), 1353-1360, 2018	24	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	23	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	22	2018

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