Simo Särkkä
Orcid: 0000-0002-7031-9354Affiliations:
- Aalto University, Finland
According to our database1,
Simo Särkkä
authored at least 187 papers
between 2000 and 2024.
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Bibliography
2024
Joint Use of a Low Thermal Resolution Thermal Camera and an RGB Camera for Respiration Measurement.
IEEE Trans. Instrum. Meas., 2024
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics.
CoRR, 2024
2023
IEEE Trans. Autom. Control., October, 2023
IEEE Trans. Autom. Control., February, 2023
IEEE Trans. Signal Process., 2023
Multidimensional projection filters via automatic differentiation and sparse-grid integration.
Signal Process., 2023
Online pole segmentation on range images for long-term LiDAR localization in urban environments.
Robotics Auton. Syst., 2023
J. Mach. Learn. Res., 2023
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing.
CoRR, 2023
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems.
CoRR, 2023
Deep Learning Based Projection Domain Metal Segmentation for Metal Artifact Reduction in Cone Beam Computed Tomography.
IEEE Access, 2023
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics.
Proceedings of the Machine Learning for Health, 2023
Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Cybern., 2022
IEEE Signal Process. Lett., 2022
J. Mach. Learn. Res., 2022
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control.
CoRR, 2022
Metal artifact correction in cone beam computed tomography using synthetic X-ray data.
CoRR, 2022
Parallel square-root statistical linear regression for inference in nonlinear state space models.
CoRR, 2022
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification.
IEEE Access, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors.
Proceedings of the 25th International Conference on Information Fusion, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Autom. Control., 2021
IEEE Trans. Autom. Control., 2021
Numer. Algorithms, 2021
CoRR, 2021
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations.
CoRR, 2021
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 11th International Conference on Localization and GNSS, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Real-Time Tracking of Multiple Acoustical Sources Utilising Rao-Blackwellised Particle Filtering.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
J. Signal Process. Syst., 2020
IEEE Signal Process. Lett., 2020
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes.
IEEE Signal Process. Lett., 2020
SIAM J. Control. Optim., 2020
Stat. Comput., 2020
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions.
SIAM/ASA J. Uncertain. Quantification, 2020
EURASIP J. Adv. Signal Process., 2020
CoRR, 2020
Adv. Comput. Math., 2020
IEEE Access, 2020
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Augmented Sigma-Point Lagrangian Splitting Method for Sparse Nonlinear State Estimation.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
IEEE Trans. Veh. Technol., 2019
IEEE Trans. Signal Process., 2019
Iterated Extended Kalman Smoother-Based Variable Splitting for L<sub>1</sub>-Regularized State Estimation.
IEEE Trans. Signal Process., 2019
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems.
IEEE Trans. Autom. Control., 2019
IEEE Signal Process. Lett., 2019
Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems.
Signal Process., 2019
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective.
Stat. Comput., 2019
Stat. Comput., 2019
J. Comput. Appl. Math., 2019
On the Convergence of Numerical Integration as a Finite Matrix Approximation to Multiplication Operator.
CoRR, 2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network.
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization.
Proceedings of the 22th International Conference on Information Fusion, 2019
2018
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Robotics, 2018
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments.
IEEE Signal Process. Lett., 2018
Gaussian process classification for prediction of in-hospital mortality among preterm infants.
Neurocomputing, 2018
LSD<sub>2</sub> - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks.
CoRR, 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion.
Proceedings of the 21st International Conference on Information Fusion, 2018
Continuous-Discrete von Mises-Fisher Filtering on S<sup>2</sup> for Reference Vector Tracking.
Proceedings of the 21st International Conference on Information Fusion, 2018
Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering.
Proceedings of the 21st International Conference on Information Fusion, 2018
Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Computing in Cardiology, 2018
Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Statistical analysis of differential equations: introducing probability measures on numerical solutions.
Stat. Comput., 2017
Detecting malignant ventricular arrhythmias in electrocardiograms by Gaussian process classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise.
Proceedings of the 20th International Conference on Information Fusion, 2017
RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Moment conditions for convergence of particle filters with unbounded importance weights.
Signal Process., 2016
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 19th International Conference on Information Fusion, 2016
Fourier-Hermite series for stochastic stability analysis of non-linear Kalman filters.
Proceedings of the 19th International Conference on Information Fusion, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
IEEE Trans. Signal Process., 2015
Gaussian filtering and variational approximations for Bayesian smoothing in continuous-discrete stochastic dynamic systems.
Signal Process., 2015
Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC.
Stat. Comput., 2015
Combining particle MCMC with Rao-Blackwellized Monte Carlo data association for parameter estimation in multiple target tracking.
Digit. Signal Process., 2015
Digit. Signal Process., 2015
Comput. Stat. Data Anal., 2015
Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression.
Auton. Robots, 2015
Proceedings of the 2015 International Conference on Indoor Positioning and Indoor Navigation, 2015
Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Nonlinear state space model identification using a regularized basis function expansion.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes.
IEEE Trans. Signal Process., 2014
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression.
Proceedings of the Robotics: Science and Systems X, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
On convergence and accuracy of state-space approximations of squared exponential covariance functions.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
On the L<sup>4</sup> convergence of particle filters with general importance distributions.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 17th International Conference on Information Fusion, 2014
Expectation maximization based parameter estimation by sigma-point and particle smoothing.
Proceedings of the 17th International Conference on Information Fusion, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Weight moment conditions for L<sup>4</sup> convergence of particle filters for unbounded test functions.
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering.
IEEE Signal Process. Mag., 2013
Signal Process., 2013
Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering.
Comput. Stat., 2013
Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods.
Proceedings of the 16th International Conference on Information Fusion, 2013
Institute of Mathematical Statistics textbooks 3, Cambridge University Press, ISBN: 978-1-10-761928-9, 2013
2012
NeuroImage, 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate student-t distribution.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction.
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Accurate Discretization of Analog Audio Filters With Application to Parametric Equalizer Design.
IEEE ACM Trans. Audio Speech Lang. Process., 2011
Correction to "On Gaussian Optimal Smoothing of Nonlinear State Space Models" [Aug 10 1938-1941].
IEEE Trans. Autom. Control., 2011
Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
IEEE Trans. Autom. Control., 2010
Continuous-time and continuous-discrete-time unscented Rauch-Tung-Striebel smoothers.
Signal Process., 2010
2009
IEEE Trans. Autom. Control., 2009
2008
2007
On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems.
IEEE Trans. Autom. Control., 2007
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density.
Neurocomputing, 2007
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000