Research output per year
Research output per year
- 1 - 50 out of 86 results
Search results
-
2023
Online pole segmentation on range images for long-term LiDAR localization in urban environments
Dong, H., Chen, X., Särkkä, S. & Stachniss, C., Jan 2023, In: Robotics and Autonomous Systems. 159, 9 p., 104283.Research output: Contribution to journal › Article › Scientific › peer-review
-
2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
Corenflos, A., Särkkä, S. & Chopin, N., 1 Aug 2022, In: Journal of Machine Learning Research. 23, 39 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Downloads (Pure) -
Multidimensional projection filters via automatic differentiation and sparse-grid integration
Emzir, M. F., Zhao, Z. & Särkkä, S., Mar 2023, In: Signal Processing. 204, 15 p., 108832.Research output: Contribution to journal › Article › Scientific › peer-review
-
Multispectral photon-counting for medical imaging and beam characterization — A project review
Kirschenmann, S., Bezak, M., Bharthuar, S., Brücken, E., Emzir, M., Golovleva, M., Gädda, A., Kalliokoski, M., Karadzhinova-Ferrer, A., Karjalainen, A., Koponen, P., Kramarenko, N., Luukka, P., Ott, J., Petrow, H., Siiskonen, T., Särkkä, S., Tikkanen, J., Turpeinen, R. & Winkler, A., 11 Sep 2022, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1039, 167043.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile15 Downloads (Pure) -
Non-linear Gaussian smoothing with Taylor moment expansion
Zhao, Z. & Särkkä, S., 2022, In: IEEE Signal Processing Letters. 29, p. 80-84 5 p., 9606583.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile22 Downloads (Pure) -
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review
Thombre, S., Zhao, Z., Ramm-Schmidt, H., Vallet Garcia, J. M., Malkamäki, T., Nikolskiy, S., Hammarberg, T., Nuortie, H., Bhuiyan, M. Z. H., Särkkä, S. & Lehtola, V. V., 1 Jan 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 1, p. 64-83 20 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile21 Citations (Scopus)123 Downloads (Pure) -
System identification using autoregressive Bayesian neural networks with nonparametric noise models
Merkatas, C. & Särkkä, S., 17 Oct 2022, (E-pub ahead of print) In: Journal of Time Series Analysis. 12 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Downloads (Pure) -
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
Särkkä, S. & Garcia-Fernandez, A. F., Jan 2022, (E-pub ahead of print) In: IEEE Transactions on Automatic Control. 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
Jaskari, J., Sahlsten, J., Damoulas, T., Knoblauch, J., Sarkka, S., Karkkainen, L., Hietala, K. & Kaski, K. K., 2022, In: IEEE Access. 10, p. 76669-76681 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile11 Downloads (Pure) -
2021
Autonomous Tracking and State Estimation With Generalized Group Lasso
Gao, R., Särkkä, S., Claveria-Vega, R. & Godsill, S., 24 Jun 2021, (E-pub ahead of print) In: IEEE Transactions on Cybernetics. 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Downloads (Pure) -
Bayesian ODE solvers: the maximum a posteriori estimate
Tronarp, F., Särkkä, S. & Hennig, P., 3 Mar 2021, In: STATISTICS AND COMPUTING. 31, 3, 18 p., 23.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Citations (Scopus)100 Downloads (Pure) -
Deep state-space Gaussian processes
Zhao, Z., Emzir, M. & Särkkä, S., Nov 2021, In: STATISTICS AND COMPUTING. 31, 6, 26 p., 75.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Citations (Scopus)40 Downloads (Pure) -
Early oxygen levels contribute to brain injury in extremely preterm infants
Rantakari, K., Rinta-Koski, O. P., Metsäranta, M., Hollmén, J., Särkkä, S., Rahkonen, P., Lano, A., Lauronen, L., Nevalainen, P., Leskinen, M. J. & Andersson, S., Jul 2021, In: Pediatric Research. 90, 1, p. 131-139 9 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)27 Downloads (Pure) -
Nationwide infection control strategy lowered seasonal respiratory infection rate: occupational health care perspective during the COVID-19 epidemic in Finland
Arvonen, M., Raittinen, P., Niemenoja, O., Ilmonen, P., Riihijärvi, S., Särkkä, S. & Viitasaari, L., 2021, In: Infectious Diseases. 53, 11, p. 839-846 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Citations (Scopus)45 Downloads (Pure) -
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering
Zhao, Z., Karvonen, T., Hostettler, R. & Särkkä, S., Sep 2021, In: IEEE Transactions on Automatic Control. 66, 9, p. 4460-4467 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)169 Downloads (Pure) -
Temporal Parallelization of Bayesian Smoothers
Särkkä, S. & Garcıa-Fernandez, A. F., Jan 2021, In: IEEE Transactions on Automatic Control. 66, 1, p. 299-306 8 p., 9013038.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access4 Citations (Scopus) -
Temporal Parallelization of Inference in Hidden Markov Models
Hassan, S. S., Särkkä, S. & García-Fernández, Á., 12 Aug 2021, In: IEEE Transactions on Signal Processing. 69, p. 4875-4887 13 p., 9512397.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile45 Downloads (Pure) -
2020
Enhancing industrial X-ray tomography by data-centric statistical methods
Suuronen, J., Emzir, M., Lasanen, S., Särkkä, S. & Roininen, L., 16 Oct 2020, In: Data-Centric Engineering. 1, 3, 17 p., e10.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)36 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 journal › Article › Scientific › peer-review
Open Access12 Citations (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 journal › Article › Scientific › peer-review
3 Citations (Scopus) -
Improved Calibration of Numerical Integration Error in Sigma-Point Filters
Prüher, J., Karvonen, T., Oates, C. J., Straka, O. & Särkkä, S., 6 May 2020, In: IEEE Transactions on Automatic Control. 66, 3, p. 1286-1292 8 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access1 Citation (Scopus) -
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection
Zhao, Z., Särkkä, S. & Rad, A. B., 1 Jul 2020, In: Journal of Signal Processing Systems. 92, p. 621-636 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile12 Citations (Scopus)72 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 journal › Article › Scientific › peer-review
Open Access1 Citation (Scopus) -
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 journal › Article › Scientific › peer-review
Open AccessFile17 Citations (Scopus)118 Downloads (Pure) -
Maximum likelihood estimation and uncertainty quantification for gaussian process approximation of deterministic functions
Karvonen, T., Wynne, G., Tronarp, F., Oates, C. & Särkkä, S., 2020, In: SIAM/ASA Journal on Uncertainty Quantification. 8, 3, p. 926-958 33 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile11 Citations (Scopus)101 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, 18 Feb 2020, In: Journal of Instrumentation. 15, 2, 10 p., C02024.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access2 Citations (Scopus) -
Non-stationary multi-layered Gaussian priors for Bayesian inversion
Emzir, M., Lasanen, S., Purisha, Z., Roininen, L. & Särkkä, S., 3 Dec 2020, In: Inverse Problems. 37, 1, 26 p., 015002.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)27 Downloads (Pure) -
On Stability of a Class of Filters for Nonlinear Stochastic Systems
Karvonen, T., Bonnabel, S., Moulines, E. & Särkkä, S., 2020, In: SIAM Journal on Control and Optimization. 58, 4, p. 2023-2049 27 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Citations (Scopus)39 Downloads (Pure) -
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 journal › Article › Scientific › peer-review
Open AccessFile7 Citations (Scopus)211 Downloads (Pure) -
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 journal › Article › Scientific › peer-review
Open Access -
Worst-case optimal approximation with increasingly flat Gaussian kernels
Karvonen, T. & Särkkä, S., 6 Mar 2020, In: ADVANCES IN COMPUTATIONAL MATHEMATICS. 46, 2, 17 p., 21.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)37 Downloads (Pure) -
2019
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 journal › Article › Scientific › peer-review
Open AccessFile24 Citations (Scopus)219 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 journal › Article › Scientific › peer-review
Open AccessFile7 Citations (Scopus)136 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 journal › Article › Scientific › peer-review
Open Access6 Citations (Scopus) -
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 journal › Article › Scientific › peer-review
Open Access18 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 journal › Article › Scientific › peer-review
Open AccessFile11 Citations (Scopus)226 Downloads (Pure) -
Hilbert space methods for reduced-rank Gaussian process regression
Solin, A. & Särkkä, S., 2019, In: STATISTICS AND COMPUTING. 28 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile52 Citations (Scopus)322 Downloads (Pure) -
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 journal › Article › Scientific › peer-review
Open Access9 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 journal › Article › Scientific › peer-review
Open AccessFile4 Citations (Scopus)32 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 journal › Article › Scientific › peer-review
Open Access1 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 journal › Article › Scientific › peer-review
Open AccessFile104 Downloads (Pure) -
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 journal › Article › Scientific › peer-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 journal › Article › Scientific › peer-review
Open AccessFile17 Citations (Scopus)81 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 journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)272 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 journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)183 Downloads (Pure) -
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 journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)283 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 journal › Article › Scientific › peer-review
Open AccessFile4 Citations (Scopus)61 Downloads (Pure) -
2018
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. 832-836Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile27 Citations (Scopus)267 Downloads (Pure) -
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 journal › Article › Scientific › peer-review
Open AccessFile11 Citations (Scopus)350 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. 134-141Research output: Contribution to journal › Article › Scientific › peer-review
Open Access15 Citations (Scopus)