| 2025 | AISTATS | Conditioning diffusion models by explicit forward-backward bridging. | Adrien Corenflos, Zheng Zhao, Thomas B. Schn, Simo Srkk, Jens Sjlund |
| 2025 | FUSION | Reduced Sampling-Rate Rauch-Tung-Striebel Smoother. | Matti Raitoharju, ngel F. Garca-Fernndez, Simo Srkk |
| 2025 | IPIN | OPTICS: Open-source Position Tracking Implementation with Consumer Smartphones. | Xiaofeng Ma, Mohamed Lamine, Simo Srkk |
| 2024 | FUSION | Polynomial Chaos Expansion Based Rauch-Tung-Striebel Smoothers. | Kundan Kumar, Simo Srkk |
| 2024 | FUSION | Stacked iterated posterior linearization filter. | Matti Raitoharju, ngel F. Garca-Fernndez, Simo Ali-Lytty, Simo Srkk |
| 2024 | ICASSP | A Gibbs Sampler for Bayesian Nonparametric State-Space Models. | Christos Merkatas, Simo Srkk |
| 2024 | ICML | Nesting Particle Filters for Experimental Design in Dynamical Systems. | Sahel Iqbal, Adrien Corenflos, Simo Srkk, Hany Abdulsamad |
| 2023 | IPIN | Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints. | Xiaofeng Ma, Simo Srkk |
| 2023 | QCE | Single Qubit State Estimation on NISQ Devices with Limited Resources and SIC-POVMs. | Cristian A. Galvis-Florez, Daniel Reitzner, Simo Srkk |
| 2023 | SPAA | Fast Dynamic Programming in Trees in the MPC Model. | Chetan Gupta, Rustam Latypov, Yannic Maus, Shreyas Pai, Simo Srkk, Jan Studen, Jukka Suomela, Jara Uitto, Hossein Vahidi |
| 2022 | FUSION | Temporal Gaussian Process Regression in Logarithmic Time. | Adrien Corenflos, Zheng Zhao, Simo Srkk |
| 2022 | FUSION | Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. | Muhammad F. Emzir, Niki Andreas Lopi, Zheng Zhao, Syeda Sakira Hassan, Simo Srkk |
| 2022 | FUSION | Posterior linearisation filter for non-linear state transformation noises. | Matti Raitoharju, Roland Hostettler, Simo Srkk |
| 2022 | FUSION | Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space. | Filip Tronarp, Simo Srkk |
| 2021 | ICASSP | Parallel Iterated Extended and Sigma-Point Kalman Smoothers. | Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Srkk |
| 2020 | BMVC | LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. | Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Srkk, Janne Heikkil |
| 2020 | ESANN | Respiratory Pattern Recognition from Low-Resolution Thermal Imaging. | Salla Aario, Ajinkya Gorad, Miika Arvonen, Simo Srkk |
| 2020 | ICASSP | Levenberg-Marquardt and Line-Search Extended Kalman Smoothers. | Simo Srkk, Lennart Svensson |
| 2020 | ICASSP | State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. | Zheng Zhao, Filip Tronarp, Roland Hostettler, Simo Srkk |
| 2019 | FUSION | Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization. | Roland Hostettler, ngel F. Garca-Fernndez, Filip Tronarp, Simo Srkk |
| 2019 | FUSION | Partitioned Update Binomial Gaussian Mixture Filter. | Matti Raitoharju, ngel F. Garca-Fernndez, Simo Srkk |
| 2019 | ICASSP | Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities. | Filip Tronarp, Simo Srkk |
| 2019 | WACV | Gyroscope-Aided Motion Deblurring with Deep Networks. | Janne Mustaniemi, Juho Kannala, Simo Srkk, Jiri Matas, Janne Heikkil |
| 2018 | FUSION | Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering. | Roland Hostettler, Tuomas Lumikari, Lauri Palva, Tuomo Nieminen, Simo Srkk |
| 2018 | FUSION | Continuous-Discrete von Mises-Fisher Filtering on S | Filip Tronarp, Roland Hostettler, Simo Srkk |
| 2018 | FUSION | Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion. | Filip Tronarp, Simo Srkk |
| 2018 | ICPR | Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. | Janne Mustaniemi, Juho Kannala, Simo Srkk, Jiri Matas, Janne Heikkil |
| 2017 | ESANN | Prediction of preterm infant mortality with Gaussian process classification. | Olli-Pekka Rinta-Koski, Simo Srkk, Jaakko Hollmn, Markus Leskinen, Sture Andersson |
| 2017 | FUSION | Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise. | Jakub Prher, Filip Tronarp, Toni Karvonen, Simo Srkk, Ondrej Straka |
| 2017 | IROS | Inertial-based scale estimation for structure from motion on mobile devices. | Janne Mustaniemi, Juho Kannala, Simo Srkk, Jiri Matas, Janne Heikkil |
| 2016 | AISTATS | Computationally Efficient Bayesian Learning of Gaussian Process State Space Models. | Andreas Svensson, Arno Solin, Simo Srkk, Thomas B. Schn |
| 2016 | FUSION | Fourier-Hermite series for stochastic stability analysis of non-linear Kalman filters. | Toni Karvonen, Simo Srkk |
| 2016 | FUSION | Sigma-point filtering for nonlinear systems with non-additive heavy-tailed noise. | Filip Tronarp, Roland Hostettler, Simo Srkk |
| 2016 | ICASSP | On the LP-convergence of a Girsanov theorem based particle filter. | Simo Srkk, Eric Moulines |
| 2016 | IPIN | IMU and magnetometer modeling for smartphone-based PDR. | Roland Hostettler, Simo Srkk |
| 2015 | AISTATS | State Space Methods for Efficient Inference in Student-t Process Regression. | Arno Solin, Simo Srkk |
| 2015 | ICASSP | Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching. | Jayaprasad Bojja, Jussi Collin, Simo Srkk, Jarmo Takala |
| 2015 | IPIN | Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems. | Simo Srkk, Ville Tolvanen, Juho Kannala, Esa Rahtu |
| 2014 | AISTATS | Explicit Link Between Periodic Covariance Functions and State Space Models. | Arno Solin, Simo Srkk |
| 2014 | FUSION | Expectation maximization based parameter estimation by sigma-point and particle smoothing. | Juho Kokkala, Arno Solin, Simo Srkk |
| 2014 | FUSION | Gaussian process quadratures in nonlinear sigma-point filtering and smoothing. | Simo Srkk, Jouni Hartikainen, Lennart Svensson, Fredrik Sandblom |
| 2014 | ICASSP | On the L | Isambi S. Mbalawata, Simo Srkk |
| 2013 | FUSION | Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods. | Xi Chen, Simo Srkk, Simon J. Godsill |
| 2012 | ICML | State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction. | Jouni Hartikainen, Mari Seppnen, Simo Srkk |
| 2011 | ICANN | Sparse Spatio-temporal Gaussian Processes with General Likelihoods. | Jouni Hartikainen, Jaakko Riihimki, Simo Srkk |
| 2011 | ICANN | Learning Curves for Gaussian Processes via Numerical Cubature Integration. | Simo Srkk |
| 2011 | ICANN | Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression. | Simo Srkk |
| 2011 | UAI | Sequential Inference for Latent Force Models. | Jouni Hartikainen, Simo Srkk |
| 2004 | IJCNN | Time series prediction by Kalman smoother with cross-validated noise density. | Simo Srkk, Aki Vehtari, Jouko Lampinen |
| 2004 | IJCNN | Time series prediction by Kalman smoother with cross-validated noise density. | Simo Srkk, Aki Vehtari, Jouko Lampinen |
| 2000 | IJCNN | On MCMC Sampling in Bayesian MLP Neural Networks. | Aki Vehtari, Simo Srkk, Jouko Lampinen |