Research Output per year
Research Output
2020
Neural Network Based Identification of Fuel Injection Rate Profiles for Diesel Engines
Immonen, E., Lauren, M., Roininen, L. & Särkkä, S., Feb 2020, Proceedings of the 9th International Conference on Industrial Technology and Management, ICITM 2020. IEEE, p. 138-143 6 p. 9080367Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
State-space Gaussian Process for Drift Estimation in Stochastic Differential Equations
Zhao, Z., Tronarp, F., Hostettler, R. & Särkkä, S., 2020, (Accepted/In press) Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020. IEEE, 5 p. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
2019
Asymptotics of Maximum Likelihood Parameter Estimates for Gaussian Processes: The Ornstein-Uhlenbeck Prior
Karvonen, T., Tronarp, F. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 6 p. 8918767. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics
Karvonen, T., Bonnabel, S., Särkkä, S. & Moulines, E., 18 Jan 2019, Proceedings of 57th IEEE Conference on Decision and Control, CDC 2018. IEEE, Vol. 2018-December. p. 7176-7181 6 p. 8619726. (Proceedings of the IEEE Conference on Decision & Control).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Gyroscope-aided motion deblurring with deep networks
Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J. & Heikkilä, J., 4 Mar 2019, Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. IEEE, p. 1914-1922 9 p. 8658406. (IEEE Winter Conference on Applications of Computer Vision).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
Hilbert-Space Reduced-Rank Methods for Deep Gaussian Processes
Emzir, M. F., Lasanen, S., Purisha, Z. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 8918874. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization
Hostettler, R., Fernandez, A. F., Tronarp, F. & Sarkka, S., 1 Jul 2019, Proceedings of the 22nd International Conference on Information Fusion, FUSION 2019. IEEE, 8 p. 9011257Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Millimeter-wave imaging method based on frequency-diverse subarrays
Leino, M. K., Ala-Laurinaho, J., Purisha, Z., Särkkä, S. & Viikari, V., 1 May 2019, GSMM 2019 - 12th Global Symposium on Millimeter Waves, Proceeding. IEEE, p. 84-86 3 p. 8797670Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
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Partitioned Update Binomial Gaussian Mixture Filter
Raitoharju, M., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jul 2019, Proceedings of the 22nd International Conference on Information Fusion, FUSION 2019. IEEE, 8 p. 9011335Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Regularized State Estimation and Parameter Learning Via Augmented Lagrangian Kalman Smoother Method
Gao, R., Tronarp, F., Zhao, Z. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 6 p. 8918821. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Rejection-Sampling-Based Ancestor Sampling for Particle Gibbs
Hostettler, R. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 6 p. 8918852. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities
Tronarp, F. & Sarkka, S., 1 May 2019, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE, p. 5032-5036 5 p. 8682279. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
2018
A Bayes–Sard Cubature Method
Karvonen, T., Oates, C. J. & Särkkä, S., Dec 2018, Advances in Neural Information Processing Systems 31: Proceedings of NIPS2017. Curran Associates, Inc., 12 p. (Advances in neural information processing systems; no. 31).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space
Zabihi, M., Rad, A. B., Sarkka, S., Kiranyaz, S., Katsaggelos, A. K. & Gabbouj, M., 1 Sep 2018, Computing in Cardiology Conference, CinC 2018. 8744012. (Computing in Cardiology; vol. 2018-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction
Gao, R., Tronarp, F. & Särkkä, S., 2018, Proceedings of the 26th European Signal Processing Conference, EUSIPCO 2018. IEEE, p. 1930-1934 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Continuous-Discrete von Mises-Fisher Filtering on S2 for Reference Vector Tracking
Tronarp, F., Hostettler, R. & Särkkä, S., 5 Sep 2018, Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 1345-1352 8 p. 8455299Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements
Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J. & Heikkilä, J., 2018, 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 3068 -3073 (International Conference on Pattern Recognition (ICPR)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
Mixture representation of the matérn class with applications in state space approximations and Bayesian quadrature
Tronarp, F., Karvonen, T. & Särkkä, S., 31 Oct 2018, Proceedings of the 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). Vol. 2018-September. 6 p. 8516992. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Modeling the Drift Function in Stochastic Differential Equations using Reduced Rank Gaussian Processes
Hostettler, R., Tronarp, F. & Särkkä, S., 1 Jan 2018, 18th IFAC Symposium on System Identification, SYSID 2018. 15 ed. Elsevier, Vol. 51. p. 778-783 6 p. (IFAC-PapersOnLine).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering
Hostettler, R., Lumikari, T., Palva, L., Nieminen, T. & Särkkä, S., 5 Sep 2018, Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 780-787 8 p. 8455698Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion
Tronarp, F. & Särkkä, S., 5 Sep 2018, Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 1114-1121 8 p. 8455493Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
On-line Bayesian parameter estimation in electrocardiogram state space models
Suotsalo, K. & Särkkä, S., 31 Oct 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). Vol. 2018-September. 8517028. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Spectro-Temporal ECG Analysis for Atrial Fibrillation Detection
Zhao, Z., Särkkä, S. & Bahrami Rad, A., 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Tracking of dynamic functional connectivity from MEG data with Kalman filtering
Tronarp, F., Subramaniyam, N. P., Särkkä, S. & Parkkonen, L., 26 Oct 2018, Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. IEEE, Vol. 2018-July. p. 1003-1006 4 p. 8512456. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
2017
A linear stochastic state space model for electrocardiograms
Suotsalo, K. & Särkkä, S., 7 Dec 2017, Proceedings of 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP2017. IEEE, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Classical quadrature rules via Gaussian processes
Karvonen, T. & Särkkä, S., 7 Dec 2017, Proceedings of 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP2017. IEEE, 7 p. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Detecting Malignant Ventricular Arrhythmias in Electrocardiograms by Gaussian Process Classification
Suotsalo, K. & Särkkä, S., 7 Dec 2017, Proceedings of 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP2017. IEEE, 5 p. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Expectation–maximization algorithm with a nonlinear kalman smoother for MEG/EEG connectivity estimation
Subramaniyam, N. P., Tronarp, F., Särkkä, S. & Parkkonen, L., 2017, EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. p. 763-766 4 p. (IFMBE Proceedings; vol. 65).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Inertial-based scale estimation for structure from motion on mobile devices
Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J. & Heikkila, J., 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . Zhang, H. & Vaughan, R. (eds.). IEEE, p. 4394-4401 (Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
Grigorevskiy, A., Lawrence, N. & Särkkä, S., 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. IEEE, 7 p. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
Prediction of major complications affecting very low birth weight infants
Rinta-Koski, O-P., Särkkä, S., Hollmen, J., Leskinen, M., Rantakari, K. & Andersson, S., 2017, 2017 IEEE LIFE SCIENCES CONFERENCE (LSC). IEEE, p. 186-189 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Prediction of preterm infant mortality with Gaussian process classification
Rinta-Koski, O-P., Särkkä, S., Hollmen, J. & Andersson, S., 2017, Proceedings of 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 193-198Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Rao-Blackwellized Particle MCMC for Parameter Estimation in Spatio-Temporal Gaussian Processes
Hostettler, R., Särkkä, S. & Godsill, S. J., 2017, Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 . IEEE, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering
Hostettler, R., Kaltiokallio, O., Ali, Y., Särkkä, S. & Jäntti, R., 2017, 25th European Signal Processing Conference (EUSIPCO). IEEE, p. 256-260 (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise
Prüher, J., Tronarp, F., Karvonen, T., Särkkä, S. & Straka, O., Jul 2017, 20th International Conference on Information Fusion, Fusion 2017 - Proceedings. IEEE, p. 875-882 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
2016
Approximate state-space Gaussian processes via spectral transformation
Karvonen, T. & Särkkä, S., 8 Nov 2016, Proceedings of the 2016 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016. Palmieri, F. A. N., Uncini, A., Diamantaras, K. & Larsen, J. (eds.). Vol. 2016-November. 7738812. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Computationally efficient Bayesian learning of Gaussian process state space models
Svensson, A., Solin, A., Särkkä, S. & Schön, T. B., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics (AISTATS). p. 213–221 (Proceedings of Machine Learning Research; vol. 51).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
17
Downloads
(Pure)
Fourier–Hermite series for stochastic stability analysis of non-linear Kalman filters
Karvonen, T. & Särkkä, S., Jul 2016, Proceedings of the 19th International Conference on Information Fusion, FUSION 2016. IEEE, p. 1829-1836 8 p. 7528105Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
2
Citations
(Scopus)
IMU and magnetometer modeling for smartphone-based PDR
Hostettler, R. & Särkkä, S., 14 Nov 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016. IEEE, 7743695. (International Conference on Indoor Positioning and Indoor Navigation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
Nonlinear state space model identification using a regularized basis function expansion
Svensson, A., Schön, T. B., Solin, A. & Särkkä, S., 14 Jan 2016, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. IEEE, p. 481-484 4 p. 7383841Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
On the LP-convergence of a Girsanov theorem based particle filter
Särkkä, S. & Moulines, E., 18 May 2016, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. IEEE, Vol. 2016-May. p. 3989-3993 5 p. 7472426. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
On the use of gradient information in Gaussian process quadratures
Pruher, J. & Särkkä, S., 8 Nov 2016, Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016. Palmieri, F. A. N., Uncini, A., Diamantaras, K. & Larsen, J. (eds.). Vol. 2016-November. 7738903. (IEEE International Workshop on Machine Learning for Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Sigma-Point Filtering for Nonlinear Systems with Non-Additive Heavy-Tailed Noise
Tronarp, F., Hostettler, R. & Särkkä, S., 5 Jul 2016, Proceedings of the 19th International Conference on Information Fusion, FUSION 2016. IEEE, p. 1859 - 1866 7528109Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
File
20
Citations
(Scopus)
58
Downloads
(Pure)
Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning
Solin, A., Särkkä, S., Kannala, J. & Rahtu, E., 2 Aug 2016, 2016 European Navigation Conference, ENC 2016. IEEE, 9 p. 7530559Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
2015
Adaptive Kalman Filtering and Smoothing for Gravitation Tracking in Mobile Systems
Särkkä, S., Tolvanen, V., Kannala, J. & Rahtu, E., 2015, International Conference on Indoor Positioning and Indoor Navigation (IPIN), Banff, Alberta, Canada, October 13-16, 2015. p. 7Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
17
Citations
(Scopus)
Pedestrian Localization in Moving Platforms Using Dead Reckoning, Particle Filtering and Map Matching
Bojja, J., Collin, J., Särkkä, S. & Takala, J., 2015, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, 19-24 April 2015. p. 1116-1120Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
7
Citations
(Scopus)
Split-Gaussian Particle Filter
Kokkala, J. & Särkkä, S., 2015, 23rd European Signal Processing Conference (EUSIPCO'15), Nice, France, 31st August - 4th September 2015. p. 484-488Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
1
Citation
(Scopus)
State Space Methods for Efficient Inference in Student-t Process Regression
Solin, A. & Särkkä, S., 2015, 18th International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, CA, USA, May 9-12, 2015. p. 885-893Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
8
Citations
(Scopus)
2014
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression.
Barfoot, T., Tong, C. & Särkkä, S., 2014, Robotics: Science and Systems Conference, Berkeley, California, USA..Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Catching Physiological Noise: Comparison of DRIFTER in Image and k-Space
Solin, A., Särkkä, S., Nummenmaa, A., Vehtari, A. & Lin, F-H., 2014, ISMRM 2014, 22nd Annual Meeting & Exhibition, Milan, Italy.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review