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Arno Solin
Arno Solin
Assistant Professor in Machine Learning, Aalto University
Zweryfikowany adres z aalto.fi - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Interpolation consistency training for semi-supervised learning
V Verma, K Kawaguchi, A Lamb, J Kannala, A Solin, Y Bengio, ...
Neural Networks, 2021
9042021
Applied Stochastic Differential Equations
S Särkkä, A Solin
Cambridge University Press, 2019
7062019
Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing
S Särkkä, A Solin, J Hartikainen
Signal Processing Magazine 30 (4), 51-61, 2013
303*2013
Hilbert space methods for reduced-rank Gaussian process regression
A Solin, S Särkkä
Statistics and Computing 30 (2), 419-446, 2020
2852020
Variational Fourier Features for Gaussian Processes
J Hensman, N Durrande, A Solin
Journal of Machine Learning Research 18 (151), 1-52, 2018
2512018
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
2042008
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
1732018
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
1702012
Optimal filtering with Kalman filters and smoothers
J Hartikainen, A Solin, S Särkkä
Department of Biomedical Engineering and Computational Science, Aalto …, 2011
160*2011
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
1222018
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
1042018
Multi-view stereo by temporal nonparametric fusion
Y Hou, J Kannala, A Solin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1012019
Explicit link between periodic covariance functions and state space models
A Solin, S Särkkä
Proceedings of the Seventeenth International Conference on Artificial …, 2014
1012014
Generative Modelling with Inverse Heat Dissipation
S Rissanen, M Heinonen, A Solin
International Conference on Learning Representations, 2023
872023
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
842023
Inertial odometry on handheld smartphones
A Solin, S Cortes, E Rahtu, J Kannala
2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018
832018
Uncertainty-guided source-free domain adaptation
S Roy, M Trapp, A Pilzer, J Kannala, N Sebe, E Ricci, A Solin
European Conference on Computer Vision, 537-555, 2022
802022
On Continuous-Discrete Cubature Kalman Filtering
S Särkkä, A Solin
16th IFAC Symposium on System Identification (Sysid 2012), 2012
742012
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
732018
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
642016
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