| Interpolation consistency training for semi-supervised learning V Verma, K Kawaguchi, A Lamb, J Kannala, A Solin, Y Bengio, ... Neural Networks, 2021 | 771 | 2021 |
| Applied Stochastic Differential Equations S Särkkä, A Solin Cambridge University Press, 2019 | 572 | 2019 |
| Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing S Särkkä, A Solin, J Hartikainen Signal Processing Magazine 30 (4), 51-61, 2013 | 283* | 2013 |
| Hilbert space methods for reduced-rank Gaussian process regression A Solin, S Särkkä Statistics and Computing 30 (2), 419-446, 2020 | 248 | 2020 |
| Variational Fourier Features for Gaussian Processes J Hensman, N Durrande, A Solin Journal of Machine Learning Research 18 (151), 1-52, 2018 | 231 | 2018 |
| 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 | 199 | 2008 |
| 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 | 161 | 2012 |
| Optimal filtering with Kalman filters and smoothers J Hartikainen, A Solin, S Särkkä Department of Biomedical Engineering and Computational Science, Aalto …, 2011 | 159* | 2011 |
| 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 | 140 | 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 | 105 | 2018 |
| Explicit link between periodic covariance functions and state space models A Solin, S Särkkä Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 97 | 2014 |
| 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 | 84 | 2018 |
| Multi-view stereo by temporal nonparametric fusion Y Hou, J Kannala, A Solin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 78 | 2019 |
| Inertial odometry on handheld smartphones A Solin, S Cortes, E Rahtu, J Kannala 2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018 | 74 | 2018 |
| Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones S Cortés, A Solin, J Kannala 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 70 | 2018 |
| On Continuous-Discrete Cubature Kalman Filtering S Särkkä, A Solin 16th IFAC Symposium on System Identification (Sysid 2012), 2012 | 69 | 2012 |
| Generative Modelling with Inverse Heat Dissipation S Rissanen, M Heinonen, A Solin International Conference on Learning Representations, 2023 | 66 | 2023 |
| Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming G Riutort-Mayol, PC Bürkner, MR Andersen, A Solin, A Vehtari Statistics and Computing 33 (1), 17, 2023 | 63 | 2023 |
| 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 | 57 | 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 | 56 | 2015 |
Simo SärkkäProfessor, Aalto University在 aalto.fi 的电子邮件经过验证
