20002020

Research output per year

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Research Output

2020

A survey of Monte Carlo methods for parameter estimation

Luengo, D., Martino, L., Bugallo, M., Elvira, V. & Särkkä, S., 1 Dec 2020, In : Eurasip Journal on Advances in Signal Processing. 2020, 1, 25.

Research output: Contribution to journalReview ArticleScientificpeer-review

Open Access
File
13 Downloads (Pure)

Gaussian mixture models for signal mapping and positioning

Raitoharju, M., García-Fernández, Á. F., Hostettler, R., Piché, R. & Särkkä, S., 1 Mar 2020, In : Signal Processing. 168, 11 p., 107330.

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Importance Densities for Particle Filtering Using Iterated Conditional Expectations

Hostettler, R., Tronarp, F., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jan 2020, In : IEEE Signal Processing Letters. 27, p. 211-215 5 p., 8951063.

Research output: Contribution to journalArticleScientificpeer-review

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

Zhao, Z., Särkkä, S. & Rad, A. B., 30 Apr 2020, In : Journal of Signal Processing Systems. 16 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
17 Downloads (Pure)

Kernel-based interpolation at approximate Fekete points

Karvonen, T., Särkkä, S. & Tanaka, K., 10 Jul 2020, In : NUMERICAL ALGORITHMS. 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Machine Learning Methods for Neonatal Mortality and Morbidity Classification

Jaskari, J., Myllarinen, J., Leskinen, M., Rad, A. B., Hollmén, J., Andersson, S. & Sarkka, S., 2 Jul 2020, In : IEEE Access. 8, p. 123347-123358 12 p., 9131772.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
10 Downloads (Pure)

Multispectral photon-counting for medical imaging and beam characterization

Brücken, E., Bharthuar, S., Emzir, M., Golovleva, M., Gädda, A., Hostettler, R., Härkönen, J., Kirschenmann, S., Litichevskyi, V., Luukka, P., Martikainen, L., Naaranoja, T., Nincǎ, I., Ott, J., Petrow, H., Purisha, Z., Siiskonen, T., Särkkä, S., Tikkanen, J., Tuuva, T. & 1 others, Winkler, A., 18 Feb 2020, In : Journal of Instrumentation. 15, 2, 11 p., C02024.

Research output: Contribution to journalArticleScientificpeer-review

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. 9080367

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

RSS Models for Respiration Rate Monitoring

Yiǧitler, H., Kaltiokallio, O., Hostettler, R., Abrar, A. S., Jäntti, R., Patwari, N. & Särkkä, S., 1 Mar 2020, In : IEEE Transactions on Mobile Computing. 19, 3, p. 680-696 17 p., 8634923.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
1 Citation (Scopus)
131 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes

Gao, R., Tronarp, F. & Särkkä, S., 2020, In : IEEE Signal Processing Letters. 27, p. 1305-1309 5 p., 9143395.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Worst-case optimal approximation with increasingly flat Gaussian kernels

Karvonen, T. & Särkkä, S., 1 Apr 2020, In : ADVANCES IN COMPUTATIONAL MATHEMATICS. 46, 2, 17 p., 21.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
1 Citation (Scopus)
21 Downloads (Pure)
2019

Applied Stochastic Differential Equations

Särkkä, S. & Solin, A., Apr 2019, Cambridge University Press. 324 p. ( Institute of Mathematical Statistics Textbooks)

Research output: Book/ReportBookScientificpeer-review

Open Access

A probabilistic model for the numerical solution of initial value problems

Schober, M., Särkkä, S. & Hennig, P., 15 Jan 2019, In : STATISTICS AND COMPUTING. 29, 1, p. 99-122 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
9 Citations (Scopus)
172 Downloads (Pure)

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 proceedingConference contributionScientificpeer-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 proceedingConference contributionScientificpeer-review

Open Access
File
155 Downloads (Pure)

Gaussian kernel quadrature at scaled Gauss–Hermite nodes

Karvonen, T. & Särkkä, S., 2019, In : BIT - Numerical Mathematics. p. 877–902 26 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
94 Downloads (Pure)

Gaussian process classification using posterior linearization

Garcia-Fernandez, A. F., Tronarp, F. & Särkkä, S., 1 May 2019, In : IEEE Signal Processing Letters. 26, 5, p. 735-739 5 p., 8673324.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems

särkkä, S., Alvarez, M. A. & Lawrence, N. D., 2019, In : IEEE Transactions on Automatic Control. 64, 7, p. 2953-2960 8 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
3 Citations (Scopus)

Gaussian Target Tracking With Direction-of-Arrival von Mises–Fisher Measurements

García-Fernández, Á. F., Tronarp, F. & Särkkä, S., 1 Jun 2019, In : IEEE Transactions on Signal Processing. 67, 11, p. 2960-2972 13 p., 8691412.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
153 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

Open Access

Hilbert space methods for reduced-rank Gaussian process regression

Solin, A. & Särkkä, S., 2019, In : STATISTICS AND COMPUTING. 28 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Citations (Scopus)
117 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

Iterated Extended Kalman Smoother-Based Variable Splitting for L-1-Regularized State Estimation

Gao, R., Tronarp, F. & Särkkä, S., 1 Oct 2019, In : IEEE Transactions on Signal Processing. 67, 19, p. 5078-5092 15 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
3 Citations (Scopus)

Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems

Tronarp, F. & Särkkä, S., 1 Jun 2019, In : Signal Processing. 159, p. 1-12 12 p.

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

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. 9011257

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-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. 8797670

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
99 Downloads (Pure)

Numerical integration as a finite matrix approximation to multiplication operator

Sarmavuori, J. & Särkkä, S., 1 Jun 2019, In : Journal of Computational and Applied Mathematics. 353, p. 283-291 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
1 Citation (Scopus)

On the positivity and magnitudes of Bayesian quadrature weights

Karvonen, T., Kanagawa, M. & Särkkä, S., 4 Oct 2019, In : STATISTICS AND COMPUTING. 17 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
95 Downloads (Pure)

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. 9011335

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Probabilistic approach to limited-data computed tomography reconstruction

Purisha, Z., Jidling, C., Wahlstrom, N., Schön, T. B. & Särkkä, S., Oct 2019, In : Inverse Problems. 35, 10, 20 p., 105004.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: A new perspective

Tronarp, F., Kersting, H., Särkkä, S. & Hennig, P., 18 Sep 2019, In : STATISTICS AND COMPUTING. 29, p. 1297-1315 19 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
25 Downloads (Pure)

Rao-Blackwellized Gaussian Smoothing

Hostettler, R. & Särkkä, S., 1 Jan 2019, In : IEEE Transactions on Automatic Control. 64, 1, p. 305-312 8 p., 8340820.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
182 Downloads (Pure)

Rao-Blackwellized Posterior Linearization Backward SLAM

García-Fernández, Á. F., Hostettler, R. & Särkkä, S., 1 May 2019, In : IEEE Transactions on Vehicular Technology. 68, 5, p. 4734-4747 14 p., 8662708.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
99 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

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 proceedingConference contributionScientificpeer-review

Student's t-Filters for Noise Scale Estimation

Tronarp, F., Karvonen, T. & Särkkä, S., 1 Feb 2019, In : IEEE Signal Processing Letters. 26, 2, p. 352-356 5 p., 8606947.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
216 Downloads (Pure)

Symmetry exploits for Bayesian cubature methods

Karvonen, T., Särkkä, S. & Oates, C. J., 1 Jan 2019, In : STATISTICS AND COMPUTING. 29, 6, p. 1231–1248 18 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Citations (Scopus)
42 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

Open Access
File
90 Downloads (Pure)
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 proceedingConference contributionScientificpeer-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 proceedingConference contributionScientificpeer-review

Open Access
File
2 Citations (Scopus)
48 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

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. 8455299

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
1 Citation (Scopus)
114 Downloads (Pure)

Cooperative localization using posterior linearization belief propagation

Garcia-Fernandez, A. F., Svensson, L. & Särkkä, S., 2018, In : IEEE Transactions on Vehicular Technology. 67, 1, p. 832-836

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
13 Citations (Scopus)
105 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

Open Access
2 Citations (Scopus)

Fully symmetric kernel quadrature

Karvonen, T. & Särkkä, S., 2018, In : SIAM Journal on Scientific Computing. 40, 2, p. A697-A720 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
8 Citations (Scopus)
223 Downloads (Pure)

Gaussian process classification for prediction of in-hospital mortality among preterm infants

Rinta-Koski, O. P., Särkkä, S., Hollmén, J., Leskinen, M. & Andersson, S., 2018, In : Neurocomputing. 298, p. 134-141

Research output: Contribution to journalArticleScientificpeer-review

Open Access
6 Citations (Scopus)

Iterative Filtering and Smoothing In Non-Linear and Non-Gaussian Systems Using Conditional Moments

Tronarp, F., Garcia Fernandez, A. & Särkkä, S., 17 Jan 2018, In : IEEE Signal Processing Letters. 25, 3, p. 408-412 5 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
12 Citations (Scopus)
232 Downloads (Pure)

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 proceedingConference contributionScientificpeer-review

Open Access
File
102 Downloads (Pure)

Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes

Solin, A., Kok, M., Wahlstrom, N., Schon, T. B. & Sarkka, S., 2018, In : IEEE Transactions on Robotics. 34, 4, p. 1112-1127

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
15 Citations (Scopus)
118 Downloads (Pure)