Simo Särkkä

267 papers A* 3A 9B 6C 22Misc 9Journal 163Unranked 54
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control.
IEEE Trans. Control. Syst. Technol.
Casian Iacob, Hany Abdulsamad, Simo Särkkä
2026 J jnl
Communication-Efficient Distributed Kalman Filtering Using ADMM.
IEEE Trans. Autom. Control.
Muhammad Iqbal, Kundan Kumar, Simo Särkkä
2026 J jnl
Dual-Level Models for Physics-Informed Multi-Step Time Series Forecasting.
CoRR
Mahdi Nasiri, Johanna Kortelainen, Simo Särkkä
2026 J jnl
Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning.
CoRR
Shreya Das, Kundan Kumar, Muhammad Iqbal, Outi Savolainen, Dominik Baumann, Laura Ruotsalainen, Simo Särkkä
2025 J jnl
A parallel-in-time Newton's method-based ODE solver.
CoRR
Casian Iacob, Hassan Razavi, Simo Särkkä
2025 — conf
Beta-Bernoulli Filtering and Linear Feedback Control Based Step-Size Adaptation for HMC and MALA.
ECC
Simo Särkkä, Christos Merkatas
2025 J jnl
Communication-Efficient Distributed Kalman Filtering using ADMM.
CoRR
Muhammad Iqbal, Kundan Kumar, Simo Särkkä
2025 J jnl
Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers.
CoRR
Fahime Seyedheydari, Kevin Conley, Simo Särkkä
2025 A conf
Conditioning diffusion models by explicit forward-backward bridging.
AISTATS
Adrien Corenflos, Zheng Zhao, Thomas B. Schön, Simo Särkkä, Jens Sjölund
2025 J jnl
Determination of Particle-Size Distributions from Light-Scattering Measurement Using Constrained Gaussian Process Regression.
CoRR
Fahime Seyedheydari, Mahdi Nasiri, Marcin Minkowski, Simo Särkkä
2025 — conf
Event-Triggered Particle Filter With One-Step Randomly Delayed Measurement.
EUSIPCO
Elhadi Gasmi, Kundan Kumar, Mohamed Amine Sid, Simo Särkkä
2025 J jnl
Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation.
IEEE Trans. Signal Process.
Ángel F. García-Fernández, Simo Särkkä
2025 C conf
OPTICS: Open-source Position Tracking Implementation with Consumer Smartphones.
IPIN
Xiaofeng Ma, Mohamed Lamine, Simo Särkkä
2025 J jnl
On The Performance of Prefix-Sum Parallel Kalman Filters and Smoothers on GPUs.
CoRR
Simo Särkkä, Ángel F. García-Fernández
2025 J jnl
Online Bayesian Experimental Design for Partially Observed Dynamical Systems.
CoRR
Sara Pérez-Vieites, Sahel Iqbal, Simo Särkkä, Dominik Baumann
2025 — conf
Parallel Kalman Smoothing Augmented Lagrangian Method for Constrained State Estimation.
EUSIPCO
Qingwang Han, Rui Gao, Simo Särkkä
2025 J jnl
Parallel Square-Root Statistical Linear Regression for Inference in Nonlinear State Space Models.
SIAM J. Sci. Comput.
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2025 J jnl
Parallel State Estimation for Systems With Integrated Measurements.
IEEE Signal Process. Lett.
Fatemeh Yaghoobi, Simo Särkkä
2025 J jnl
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature.
CoRR
Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä
2025 J jnl
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature.
Trans. Mach. Learn. Res.
Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä
2025 J jnl
Proximal Approximate Inference in State-Space Models.
CoRR
Hany Abdulsamad, Ángel F. García-Fernández, Simo Särkkä
2025 — conf
Quantum-Assisted Gaussian Process Regression Using Random Fourier Features.
QSW
Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä
2025 C conf
Reduced Sampling-Rate Rauch-Tung-Striebel Smoother.
FUSION
Matti Raitoharju, Ángel F. García-Fernández, Simo Särkkä
2025 J jnl
Sequential Monte Carlo for Policy Optimization in Continuous POMDPs.
CoRR
Hany Abdulsamad, Sahel Iqbal, Simo Särkkä
2025 — conf
Statistical Linear Regression Approach to Kalman Filtering and Smoothing Under Cyber-Attacks.
EUSIPCO
Kundan Kumar, Muhammad Iqbal, Simo Särkkä
2025 J jnl
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks.
CoRR
Kundan Kumar, Muhammad Iqbal, Simo Särkkä
2025 J jnl
Temporal Parallelization of the HJB Equation and Continuous-Time Linear Quadratic Control.
IEEE Trans. Autom. Control.
Simo Särkkä, Ángel F. García-Fernández
2025 J jnl
Temporal parallelisation of continuous-time maximum-a-posteriori trajectory estimation.
CoRR
Hassan Razavi, Ángel F. García-Fernández, Simo Särkkä
2025 J jnl
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography.
CoRR
Harshit Agrawal, Ari Hietanen, Simo Särkkä
2024 Misc conf
A Gibbs Sampler for Bayesian Nonparametric State-Space Models.
ICASSP
Christos Merkatas, Simo Särkkä
2024 J jnl
A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control.
CoRR
Casian Iacob, Hany Abdulsamad, Simo Särkkä
2024 J jnl
Conditioning diffusion models by explicit forward-backward bridging.
CoRR
Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
2024 J jnl
Gaussian multi-target filtering with target dynamics driven by a stochastic differential equation.
CoRR
Ángel F. García-Fernández, Simo Särkkä
2024 J jnl
Gaussian-Based Parametric Bijections for Automatic Projection Filters.
IEEE Trans. Autom. Control.
Muhammad F. Emzir, Zheng Zhao, Lahouari Cheded, Simo Särkkä
2024 J jnl
Joint Use of a Low Thermal Resolution Thermal Camera and an RGB Camera for Respiration Measurement.
IEEE Trans. Instrum. Meas.
Zaeed Khan, Matias Rusanen, Miika Arvonen, Timo Leppänen, Simo Särkkä
2024 J jnl
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics.
CoRR
Yvann Le Fay, Simo Särkkä, Adrien Corenflos
2024 A* conf
Nesting Particle Filters for Experimental Design in Dynamical Systems.
ICML
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
2024 J jnl
Nesting Particle Filters for Experimental Design in Dynamical Systems.
CoRR
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
2024 J jnl
Parallel state estimation for systems with integrated measurements.
CoRR
Fatemeh Yaghoobi, Simo Särkkä
2024 J jnl
Parallel-in-Time Probabilistic Numerical ODE Solvers.
J. Mach. Learn. Res.
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
2024 — conf
Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations.
MLSP
Sahel Iqbal, Hany Abdulsamad, Tripp Cator, Ulisses Braga-Neto, Simo Särkkä
2024 J jnl
Physics-Informed Machine Learning for Grade Prediction in Froth Flotation.
CoRR
Mahdi Nasiri, Sahel Iqbal, Simo Särkkä
2024 C conf
Polynomial Chaos Expansion Based Rauch-Tung-Striebel Smoothers.
FUSION
Kundan Kumar, Simo Särkkä
2024 J jnl
Quantum-Assisted Hilbert-Space Gaussian Process Regression.
CoRR
Ahmad Farooq, Cristian A. Galvis-Florez, Simo Särkkä
2024 J jnl
Rao-Blackwellized Particle Filter Using Noise Adaptive Kalman Filter for Fully Mixing State-Space Models.
IEEE Trans. Aerosp. Electron. Syst.
Tabish Badar, Simo Särkkä, Zheng Zhao, Arto Visala
2024 J jnl
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design.
CoRR
Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos
2024 — conf
Risk-Sensitive Filtering under False Data Injection Attacks.
MFI
Kundan Kumar, Muhammad Iqbal, Simo Särkkä
2024 J jnl
Spacing Vector and Varying Distance Constrained Positioning Using Dual Feet-Mounted IMUs.
IEEE Trans. Instrum. Meas.
Xiaofeng Ma, Simo Särkkä
2024 C conf
Stacked iterated posterior linearization filter.
FUSION
Matti Raitoharju, Ángel F. García-Fernández, Simo Ali-Löytty, Simo Särkkä
2023 — conf
A Recursive Newton Method for Smoothing in Nonlinear State Space Models.
EUSIPCO
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
2023 J jnl
A Recursive Newton Method for Smoothing in Nonlinear State Space Models.
CoRR
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
2023 J jnl
A probabilistic Taylor expansion with Gaussian processes.
Trans. Mach. Learn. Res.
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
2023 J jnl
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems.
CoRR
Adrien Corenflos, Simo Särkkä
2023 J jnl
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees.
J. Mach. Learn. Res.
William J. Wilkinson, Simo Särkkä, Arno Solin
2023 J jnl
Deep Learning Based Projection Domain Metal Segmentation for Metal Artifact Reduction in Cone Beam Computed Tomography.
IEEE Access
Harshit Agrawal, Ari Hietanen, Simo Särkkä
2023 B conf
Fast Dynamic Programming in Trees in the MPC Model.
SPAA
Chetan Gupta, Rustam Latypov, Yannic Maus, Shreyas Pai, Simo Särkkä, Jan Studený, Jukka Suomela, Jara Uitto, Hossein Vahidi
2023 J jnl
Fast Dynamic Programming in Trees in the MPC Model.
CoRR
Chetan Gupta, Rustam Latypov, Yannic Maus, Shreyas Pai, Simo Särkkä, Jan Studený, Jukka Suomela, Jara Uitto, Hossein Vahidi
2023 J jnl
Fourier-Hermite Dynamic Programming for Optimal Control.
IEEE Trans. Autom. Control.
Syeda Sakira Hassan, Simo Särkkä
2023 C conf
Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints.
IPIN
Xiaofeng Ma, Simo Särkkä
2023 J jnl
Multidimensional projection filters via automatic differentiation and sparse-grid integration.
Signal Process.
Muhammad F. Emzir, Zheng Zhao, Simo Särkkä
2023 — conf
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics.
ML4H@NeurIPS
Arina Odnoblyudova, Caglar Hizli, St John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen
2023 J jnl
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics.
CoRR
Arina Odnoblyudova, Çaglar Hizli, St John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen
2023 — conf
On The Temporal Parallelisation of The Viterbi Algorithm.
EUSIPCO
Simo Särkkä, Ángel F. García-Fernández
2023 J jnl
Online pole segmentation on range images for long-term LiDAR localization in urban environments.
Robotics Auton. Syst.
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
2023 J jnl
Parallel-in-Time Probabilistic Numerical ODE Solvers.
CoRR
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
2023 J jnl
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals.
IEEE Trans. Signal Process.
Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
2023 — conf
Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking.
MLSP
Ajinkya Gorad, Simo Särkkä
2023 J jnl
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing.
CoRR
Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä
2023 Misc conf
Single Qubit State Estimation on NISQ Devices with Limited Resources and SIC-POVMs.
QCE
Cristian A. Galvis-Florez, Daniel Reitzner, Simo Särkkä
2023 J jnl
Temporal Parallelization of Dynamic Programming and Linear Quadratic Control.
IEEE Trans. Autom. Control.
Simo Särkkä, Ángel F. García-Fernández
2023 — conf
Vessel Bearing Estimation Using Visible and Thermal Imaging.
SCIA (2)
Ajinkya Gorad, Sakira Hassan, Simo Särkkä
2022 J jnl
Autonomous Tracking and State Estimation With Generalized Group Lasso.
IEEE Trans. Cybern.
Rui Gao, Simo Särkkä, Rubén M. Clavería, Simon J. Godsill
2022 C conf
Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space.
FUSION
Filip Tronarp, Simo Särkkä
2022 J jnl
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother.
CoRR
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
2022 J jnl
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother.
J. Mach. Learn. Res.
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
2022 C conf
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors.
FUSION
Muhammad F. Emzir, Niki Andreas Lopi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä
2022 J jnl
Fourier-Hermite Dynamic Programming for Optimal Control.
CoRR
Sakira Hassan, Simo Särkkä
2022 J jnl
Guest Editorial: MLSP 2020 Special Issue.
J. Signal Process. Syst.
Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann
2022 J jnl
Metal artifact correction in cone beam computed tomography using synthetic X-ray data.
CoRR
Harshit Agrawal, Ari Hietanen, Simo Särkkä
2022 J jnl
Non-Linear Gaussian Smoothing With Taylor Moment Expansion.
IEEE Signal Process. Lett.
Zheng Zhao, Simo Särkkä
2022 J jnl
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments.
CoRR
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
2022 J jnl
Parallel square-root statistical linear regression for inference in nonlinear state space models.
CoRR
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2022 C conf
Posterior linearisation filter for non-linear state transformation noises.
FUSION
Matti Raitoharju, Roland Hostettler, Simo Särkkä
2022 J jnl
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review.
IEEE Trans. Intell. Transp. Syst.
Sarang Thombre, Zheng Zhao, Henrik Ramm-Schmidt, José M. Vallet Garcia, Tuomo Malkamäki, Sergey Nikolskiy, Toni Hammarberg, Hiski Nuortie, Mohammad Zahidul H. Bhuiyan, Simo Särkkä, Ville V. Lehtola
2022 C conf
Temporal Gaussian Process Regression in Logarithmic Time.
FUSION
Adrien Corenflos, Zheng Zhao, Simo Särkkä
2022 J jnl
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control.
CoRR
Simo Särkkä, Ángel F. García-Fernández
2022 J jnl
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification.
IEEE Access
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski
2022 J jnl
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification.
CoRR
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski
2021 J jnl
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations.
CoRR
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
2021 J jnl
A Survey of Monte Carlo Methods for Parameter Estimation.
CoRR
David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
2021 J jnl
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees.
CoRR
William J. Wilkinson, Simo Särkkä, Arno Solin
2021 J jnl
Bayesian ODE solvers: the maximum a posteriori estimate.
Stat. Comput.
Filip Tronarp, Simo Särkkä, Philipp Hennig
2021 J jnl
Correction to: Kernel-based interpolation at approximate Fekete points.
Numer. Algorithms
Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
2021 J jnl
Deep state-space Gaussian processes.
Stat. Comput.
Zheng Zhao, Muhammad F. Emzir, Simo Särkkä
2021 — conf
Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms.
MLSP
Simo Särkkä, Christos Merkatas, Toni Karvonen
2021 J jnl
Gaussian Process Regression in Logarithmic Time.
CoRR
Adrien Corenflos, Zheng Zhao, Simo Särkkä
2021 J jnl
Improved Calibration of Numerical Integration Error in Sigma-Point Filters.
IEEE Trans. Autom. Control.
Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä
2021 — conf
Kalman filtering with empirical noise models.
ICL-GNSS
Matti Raitoharju, Henri Nurminen, Demet Cilden-Guler, Simo Särkkä
2021 J jnl
Kernel-based interpolation at approximate Fekete points.
Numer. Algorithms
Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
2021 — conf
Metal Artifact Reduction In Cone-Beam Extremity Images Using Gated Convolutions.
ISBI
Harshit Agrawal, Ari Hietanen, Simo Särkkä
2021 J jnl
Non-linear Gaussian smoothing with Taylor moment expansion.
CoRR
Zheng Zhao, Simo Särkkä
2021 Misc conf
Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
ICASSP
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2021 J jnl
Parallel Iterated Extended and Sigma-point Kalman Smoothers.
CoRR
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
2021 — conf
Real-Time Tracking of Multiple Acoustical Sources Utilising Rao-Blackwellised Particle Filtering.
EUSIPCO
Leo McCormack, Archontis Politis, Simo Särkkä, Ville Pulkki
2021 J jnl
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering.
IEEE Trans. Autom. Control.
Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä
2021 J jnl
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control.
CoRR
Simo Särkkä, Ángel F. García-Fernández
2021 J jnl
Temporal Parallelization of Bayesian Smoothers.
IEEE Trans. Autom. Control.
Simo Särkkä, Ángel F. García-Fernández
2021 J jnl
Temporal Parallelization of Inference in Hidden Markov Models.
CoRR
Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández
2021 J jnl
Temporal Parallelization of Inference in Hidden Markov Models.
IEEE Trans. Signal Process.
Syeda Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández
2020 J jnl
A survey of Monte Carlo methods for parameter estimation.
EURASIP J. Adv. Signal Process.
David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä
2020 — conf
Augmented Sigma-Point Lagrangian Splitting Method for Sparse Nonlinear State Estimation.
EUSIPCO
Rui Gao, Simo Särkkä
2020 J jnl
Bayesian ODE Solvers: The Maximum A Posteriori Estimate.
CoRR
Filip Tronarp, Simo Särkkä, Philipp Hennig
2020 J jnl
Deep State-Space Gaussian Processes.
CoRR
Zheng Zhao, Muhammad F. Emzir, Simo Särkkä
2020 J jnl
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods.
CoRR
Jarkko Suuronen, Muhammad F. Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen
2020 J jnl
Gaussian mixture models for signal mapping and positioning.
Signal Process.
Matti Raitoharju, Ángel F. García-Fernández, Roland Hostettler, Robert Piché, Simo Särkkä
2020 J jnl
Hilbert space methods for reduced-rank Gaussian process regression.
Stat. Comput.
Arno Solin, Simo Särkkä
2020 J jnl
Importance Densities for Particle Filtering Using Iterated Conditional Expectations.
IEEE Signal Process. Lett.
Roland Hostettler, Filip Tronarp, Ángel F. García-Fernández, Simo Särkkä
2020 J jnl
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
J. Signal Process. Syst.
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
2020 A conf
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs.
BMVC
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
2020 Misc conf
Levenberg-Marquardt and Line-Search Extended Kalman Smoothers.
ICASSP
Simo Särkkä, Lennart Svensson
2020 J jnl
Machine Learning Methods for Neonatal Mortality and Morbidity Classification.
IEEE Access
Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
2020 J jnl
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions.
SIAM/ASA J. Uncertain. Quantification
Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
2020 J jnl
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions.
CoRR
Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
2020 J jnl
On Stability of a Class of Filters for Nonlinear Stochastic Systems.
SIAM J. Control. Optim.
Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä
2020 — conf
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters.
MLSP
Ajinkya Gorad, Zheng Zhao, Simo Särkkä
2020 J jnl
RSS Models for Respiration Rate Monitoring.
IEEE Trans. Mob. Comput.
Hüseyin Yigitler, Ossi Kaltiokallio, Roland Hostettler, Alemayehu Solomon Abrar, Riku Jäntti, Neal Patwari, Simo Särkkä
2020 B conf
Respiratory Pattern Recognition from Low-Resolution Thermal Imaging.
ESANN
Salla Aario, Ajinkya Gorad, Miika Arvonen, Simo Särkkä
2020 Misc conf
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations.
ICASSP
Zheng Zhao, Filip Tronarp, Roland Hostettler, Simo Särkkä
2020 J jnl
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes.
CoRR
Rui Gao, Filip Tronarp, Simo Särkkä
2020 J jnl
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes.
IEEE Signal Process. Lett.
Rui Gao, Filip Tronarp, Simo Särkkä
2020 J jnl
Worst-case optimal approximation with increasingly flat Gaussian kernels.
Adv. Comput. Math.
Toni Karvonen, Simo Särkkä
2019 J jnl
1D Convolutional Neural Network Models for Sleep Arousal Detection.
CoRR
Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Simo Särkkä, Moncef Gabbouj
2019 J jnl
A probabilistic model for the numerical solution of initial value problems.
Stat. Comput.
Michael Schober, Simo Särkkä, Philipp Hennig
2019 — conf
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior.
MLSP
Toni Karvonen, Filip Tronarp, Simo Särkkä
2019 J jnl
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network.
CoRR
Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, Simo Särkkä
2019 J jnl
Gaussian Process Classification Using Posterior Linearization.
IEEE Signal Process. Lett.
Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä
2019 J jnl
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems.
IEEE Trans. Autom. Control.
Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
2019 J jnl
Gaussian Target Tracking With Direction-of-Arrival von Mises-Fisher Measurements.
IEEE Trans. Signal Process.
Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä
2019 A conf
Gyroscope-Aided Motion Deblurring with Deep Networks.
WACV
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2019 — conf
Hilbert-Space Reduced-Rank Methods For Deep Gaussian Processes.
MLSP
Muhammad F. Emzir, Sari Lasanen, Zenith Purisha, Simo Särkkä
2019 J jnl
Iterated Extended Kalman Smoother-Based Variable Splitting for L
IEEE Trans. Signal Process.
Rui Gao, Filip Tronarp, Simo Särkkä
2019 J jnl
Iterated Extended Kalman Smoother-based Variable Splitting for L
CoRR
Rui Gao, Filip Tronarp, Simo Särkkä
2019 J jnl
Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems.
Signal Process.
Filip Tronarp, Simo Särkkä
2019 C conf
Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization.
FUSION
Roland Hostettler, Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä
2019 J jnl
Kernel-based interpolation at approximate Fekete points.
CoRR
Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
2019 J jnl
Numerical integration as a finite matrix approximation to multiplication operator.
J. Comput. Appl. Math.
Juha Sarmavuori, Simo Särkkä
2019 J jnl
On the Convergence of Numerical Integration as a Finite Matrix Approximation to Multiplication Operator.
CoRR
Juha Sarmavuori, Simo Särkkä
2019 J jnl
On the positivity and magnitudes of Bayesian quadrature weights.
Stat. Comput.
Toni Karvonen, Motonobu Kanagawa, Simo Särkkä
2019 C conf
Partitioned Update Binomial Gaussian Mixture Filter.
FUSION
Matti Raitoharju, Ángel F. García-Fernández, Simo Särkkä
2019 J jnl
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective.
Stat. Comput.
Filip Tronarp, Hans Kersting, Simo Särkkä, Philipp Hennig
2019 J jnl
Rao-Blackwellized Gaussian Smoothing.
IEEE Trans. Autom. Control.
Roland Hostettler, Simo Särkkä
2019 J jnl
Rao-Blackwellized Posterior Linearization Backward SLAM.
IEEE Trans. Veh. Technol.
Ángel F. García-Fernández, Roland Hostettler, Simo Särkkä
2019 — conf
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method.
MLSP
Rui Gao, Filip Tronarp, Zheng Zhao, Simo Särkkä
2019 — conf
Rejection-Sampling-Based Ancestor Sampling for Particle Gibbs.
MLSP
Roland Hostettler, Simo Särkkä
2019 J jnl
Student's $t$-Filters for Noise Scale Estimation.
IEEE Signal Process. Lett.
Filip Tronarp, Toni Karvonen, Simo Särkkä
2019 J jnl
Symmetry exploits for Bayesian cubature methods.
Stat. Comput.
Toni Karvonen, Simo Särkkä, Chris J. Oates
2019 J jnl
Temporal Parallelization of Bayesian Filters and Smoothers.
CoRR
Simo Särkkä, Ángel F. García-Fernández
2019 J jnl
The Use of Gaussian Processes in System Identification.
CoRR
Simo Särkkä
2019 Misc conf
Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities.
ICASSP
Filip Tronarp, Simo Särkkä
2019 J jnl
Worst-case optimal approximation with increasingly flat Gaussian kernels.
CoRR
Toni Karvonen, Simo Särkkä
2018 A* conf
A Bayes-Sard Cubature Method.
NeurIPS
Toni Karvonen, Chris J. Oates, Simo Särkkä
2018 — conf
Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis.
CinC
Morteza Zabihi, Ali Bahrami Rad, Simo Särkkä, Serkan Kiranyaz, Aggelos K. Katsaggelos, Moncef Gabbouj
2018 — conf
Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics.
CDC
Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä
2018 — conf
Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction.
EUSIPCO
Rui Gao, Filip Tronarp, Simo Särkkä
2018 C conf
Continuous-Discrete von Mises-Fisher Filtering on S
FUSION
Filip Tronarp, Roland Hostettler, Simo Särkkä
2018 J jnl
Cooperative Localization Using Posterior Linearization Belief Propagation.
IEEE Trans. Veh. Technol.
Ángel F. García-Fernández, Lennart Svensson, Simo Särkkä
2018 B conf
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements.
ICPR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2018 J jnl
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements.
CoRR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2018 J jnl
Fully Symmetric Kernel Quadrature.
SIAM J. Sci. Comput.
Toni Karvonen, Simo Särkkä
2018 J jnl
Gaussian process classification for prediction of in-hospital mortality among preterm infants.
Neurocomputing
Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson
2018 J jnl
Gaussian process classification using posterior linearisation.
CoRR
Ángel F. García-Fernández, Filip Tronarp, Simo Särkkä
2018 J jnl
Improved Calibration of Numerical Integration Error in Sigma-Point Filters.
CoRR
Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä
2018 J jnl
Inertial-aided Motion Deblurring with Deep Networks.
CoRR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2018 J jnl
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments.
IEEE Signal Process. Lett.
Filip Tronarp, Ángel F. García-Fernández, Simo Särkkä
2018 J jnl
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
CoRR
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
2018 J jnl
LSD
CoRR
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
2018 — conf
Mixture Representation of the MatéRn class with Applications in State Space Approximations and Bayesian quadrature.
MLSP
Filip Tronarp, Toni Karvonen, Simo Särkkä
2018 J jnl
Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes.
IEEE Trans. Robotics
Arno Solin, Manon Kok, Niklas Wahlstrom, Thomas B. Schön, Simo Särkkä
2018 C conf
Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering.
FUSION
Roland Hostettler, Tuomas Lumikari, Lauri Palva, Tuomo Nieminen, Simo Särkkä
2018 C conf
Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion.
FUSION
Filip Tronarp, Simo Särkkä
2018 J jnl
On the positivity and magnitudes of Bayesian quadrature weights.
CoRR
Toni Karvonen, Motonobu Kanagawa, Simo Särkkä
2018 — conf
On-Line Bayesian parameter estimation in electrocardiogram State Space Models.
MLSP
Kimmo Suotsalo, Simo Särkkä
2018 J jnl
Probabilistic approach to limited-data computed tomography reconstruction.
CoRR
Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön
2018 — conf
Spectro-Temporal ECG Analysis for atrial fibrillation Detection.
MLSP
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
2018 — conf
Tracking of dynamic functional connectivity from MEG data with Kalman filtering.
EMBC
Filip Tronarp, Narayan Puthanmadam Subramaniyam, Simo Särkkä, Lauri Parkkonen
2017 — conf
A linear stochastic state space model for electrocardiograms.
MLSP
Kimmo Suotsalo, Simo Särkkä
2017 — conf
Classical quadrature rules via Gaussian processes.
MLSP
Toni Karvonen, Simo Särkkä
2017 — conf
Detecting malignant ventricular arrhythmias in electrocardiograms by Gaussian process classification.
MLSP
Kimmo Suotsalo, Simo Särkkä
2017 J jnl
Fully symmetric kernel quadrature.
CoRR
Toni Karvonen, Simo Särkkä
2017 J jnl
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems.
CoRR
Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
2017 A conf
Inertial-based scale estimation for structure from motion on mobile devices.
IROS
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2017 J jnl
Iterated Posterior Linearization Smoother.
IEEE Trans. Autom. Control.
Ángel F. García-Fernández, Lennart Svensson, Simo Särkkä
2017 — conf
Parallelizable sparse inverse formulation Gaussian processes (SpInGP).
MLSP
Alexander Grigorievskiy, Neil D. Lawrence, Simo Särkkä
2017 B conf
Prediction of preterm infant mortality with Gaussian process classification.
ESANN
Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson
2017 — conf
RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering.
EUSIPCO
Roland Hostettler, Ossi Kaltiokallio, Hüseyin Yigitler, Simo Särkkä, Riku Jäntti
2017 — conf
Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes.
MLSP
Roland Hostettler, Simo Särkkä, Simon J. Godsill
2017 J jnl
Statistical analysis of differential equations: introducing probability measures on numerical solutions.
Stat. Comput.
Patrick R. Conrad, Mark A. Girolami, Simo Särkkä, Andrew M. Stuart, Konstantinos Zygalakis
2017 C conf
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise.
FUSION
Jakub Prüher, Filip Tronarp, Toni Karvonen, Simo Särkkä, Ondrej Straka
2016 J jnl
A probabilistic model for the numerical solution of initial value problems.
CoRR
Michael Schober, Simo Särkkä, Philipp Hennig
2016 — conf
Approximate state-space Gaussian processes via spectral transformation.
MLSP
Toni Karvonen, Simo Särkkä
2016 A conf
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models.
AISTATS
Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön
2016 C conf
Fourier-Hermite series for stochastic stability analysis of non-linear Kalman filters.
FUSION
Toni Karvonen, Simo Särkkä
2016 C conf
IMU and magnetometer modeling for smartphone-based PDR.
IPIN
Roland Hostettler, Simo Särkkä
2016 J jnl
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices.
CoRR
Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä
2016 J jnl
Moment conditions for convergence of particle filters with unbounded importance weights.
Signal Process.
Isambi S. Mbalawata, Simo Särkkä
2016 Misc conf
On the LP-convergence of a Girsanov theorem based particle filter.
ICASSP
Simo Särkkä, Eric Moulines
2016 — conf
On the use of gradient information in Gaussian process quadratures.
MLSP
Jakub Prüher, Simo Särkkä
2016 J jnl
Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models.
IEEE J. Sel. Top. Signal Process.
Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill
2016 C conf
Sigma-point filtering for nonlinear systems with non-additive heavy-tailed noise.
FUSION
Filip Tronarp, Roland Hostettler, Simo Särkkä
2015 J jnl
A Bayesian particle filtering method for brain source localisation.
Digit. Signal Process.
Xi Chen, Simo Särkkä, Simon J. Godsill
2015 C conf
Adaptive Kalman filtering and smoothing for gravitation tracking in mobile systems.
IPIN
Simo Särkkä, Ville Tolvanen, Juho Kannala, Esa Rahtu
2015 J jnl
Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter.
Comput. Stat. Data Anal.
Isambi S. Mbalawata, Simo Särkkä, Matti Vihola, Heikki Haario
2015 J jnl
Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression.
Auton. Robots
Sean Anderson, Timothy D. Barfoot, Chi Hay Tong, Simo Särkkä
2015 J jnl
Combining particle MCMC with Rao-Blackwellized Monte Carlo data association for parameter estimation in multiple target tracking.
Digit. Signal Process.
Juho Kokkala, Simo Särkkä
2015 J jnl
Gaussian filtering and variational approximations for Bayesian smoothing in continuous-discrete stochastic dynamic systems.
Signal Process.
Juha Ala-Luhtala, Simo Särkkä, Robert Piché
2015 J jnl
Modeling and interpolation of the ambient magnetic field by Gaussian processes.
CoRR
Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön, Simo Särkkä
2015 J jnl
Nonlinear State Space Model Identification Using a Regularized Basis Function Expansion.
CoRR
Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä
2015 — conf
Nonlinear state space model identification using a regularized basis function expansion.
CAMSAP
Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä
2015 Misc conf
Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching.
ICASSP
Jayaprasad Bojja, Jussi Collin, Simo Särkkä, Jarmo Takala
2015 J jnl
Posterior Linearization Filter: Principles and Implementation Using Sigma Points.
IEEE Trans. Signal Process.
Ángel F. García-Fernández, Lennart Svensson, Mark R. Morelande, Simo Särkkä
2015 J jnl
Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC.
Stat. Comput.
Simo Särkkä, Jouni Hartikainen, Isambi Sailon Mbalawata, Heikki Haario
2015 — conf
Split-Gaussian particle filter.
EUSIPCO
Juho Kokkala, Simo Särkkä
2015 A conf
State Space Methods for Efficient Inference in Student-t Process Regression.
AISTATS
Arno Solin, Simo Särkkä
2014 — conf
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression.
Robotics: Science and Systems
Tim D. Barfoot, Chi Hay Tong, Simo Särkkä
2014 J jnl
Batch Nonlinear Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression.
CoRR
Sean Anderson, Timothy D. Barfoot, Chi Hay Tong, Simo Särkkä
2014 C conf
Expectation maximization based parameter estimation by sigma-point and particle smoothing.
FUSION
Juho Kokkala, Arno Solin, Simo Särkkä
2014 A conf
Explicit Link Between Periodic Covariance Functions and State Space Models.
AISTATS
Arno Solin, Simo Särkkä
2014 C conf
Gaussian process quadratures in nonlinear sigma-point filtering and smoothing.
FUSION
Simo Särkkä, Jouni Hartikainen, Lennart Svensson, Fredrik Sandblom
2014 — conf
Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions.
MLSP
Arno Solin, Simo Särkkä
2014 — conf
On convergence and accuracy of state-space approximations of squared exponential covariance functions.
MLSP
Simo Särkkä, Robert Piché
2014 Misc conf
On the L
ICASSP
Isambi S. Mbalawata, Simo Särkkä
2014 — conf
RFID-based butterfly location sensing system.
EUSIPCO
Simo Särkkä, Ville Viikari, Kaarle Jaakkola
2014 J jnl
Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes.
IEEE Trans. Signal Process.
Simon M. J. Lyons, Simo Särkkä, Amos J. Storkey
2014 — conf
The 10th annual MLSP competition: First place.
MLSP
Arno Solin, Simo Särkkä
2014 — conf
Weight moment conditions for L
EUSIPCO
Isambi S. Mbalawata, Simo Särkkä
2013 — book
Bayesian Filtering and Smoothing.
Simo Särkkä
2013 — conf
Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves.
SCIA
Simo Särkkä, Arno Solin
2013 J jnl
Gaussian filtering and smoothing for continuous-discrete dynamic systems.
Signal Process.
Simo Särkkä, Juha Sarmavuori
2013 — conf
Non-linear noise adaptive Kalman filtering via variational Bayes.
MLSP
Simo Särkkä, Jouni Hartikainen
2013 J jnl
Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering.
Comput. Stat.
Isambi S. Mbalawata, Simo Särkkä, Heikki Haario
2013 C conf
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods.
FUSION
Xi Chen, Simo Särkkä, Simon J. Godsill
2013 J jnl
Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering.
IEEE Signal Process. Mag.
Simo Särkkä, Arno Solin, Jouni Hartikainen
2012 J jnl
Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER.
NeuroImage
Simo Särkkä, Arno Solin, Aapo Nummenmaa, Aki Vehtari, Toni Auranen, Simo Vanni, Fa-Hsuan Lin
2012 J jnl
Fourier-Hermite Kalman Filter.
IEEE Trans. Autom. Control.
Juha Sarmavuori, Simo Särkkä
2012 — conf
Fourier-Hermite Rauch-Tung-Striebel smoother.
EUSIPCO
Juha Sarmavuori, Simo Särkkä
2012 A conf
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression.
AISTATS
Simo Särkkä, Jouni Hartikainen
2012 — conf
Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate student-t distribution.
MLSP
Robert Piché, Simo Särkkä, Jouni Hartikainen
2012 J jnl
Sequential Inference for Latent Force Models
CoRR
Jouni Hartikainen, Simo Särkkä
2012 J jnl
State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction
CoRR
Jouni Hartikainen, Mari Seppänen, Simo Särkkä
2012 A* conf
State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction.
ICML
Jouni Hartikainen, Mari Seppänen, Simo Särkkä
2012 — conf
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes.
NIPS
Simon M. J. Lyons, Amos J. Storkey, Simo Särkkä
2011 J jnl
Accurate Discretization of Analog Audio Filters With Application to Parametric Equalizer Design.
IEEE ACM Trans. Audio Speech Lang. Process.
Simo Särkkä, Antti Huovilainen
2011 J jnl
Correction to "On Gaussian Optimal Smoothing of Nonlinear State Space Models" [Aug 10 1938-1941].
IEEE Trans. Autom. Control.
Simo Särkkä, Jouni Hartikainen
2011 — conf
Learning Curves for Gaussian Processes via Numerical Cubature Integration.
ICANN (1)
Simo Särkkä
2011 — conf
Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression.
ICANN (2)
Simo Särkkä
2011 A conf
Sequential Inference for Latent Force Models.
UAI
Jouni Hartikainen, Simo Särkkä
2011 — conf
Sparse Spatio-temporal Gaussian Processes with General Likelihoods.
ICANN (1)
Jouni Hartikainen, Jaakko Riihimäki, Simo Särkkä
2010 J jnl
Continuous-time and continuous-discrete-time unscented Rauch-Tung-Striebel smoothers.
Signal Process.
Simo Särkkä
2010 J jnl
On Gaussian Optimal Smoothing of Non-Linear State Space Models.
IEEE Trans. Autom. Control.
Simo Särkkä, Jouni Hartikainen
2009 J jnl
Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations.
IEEE Trans. Autom. Control.
Simo Särkkä, Aapo Nummenmaa
2008 J jnl
Unscented Rauch-Tung-Striebel Smoother.
IEEE Trans. Autom. Control.
Simo Särkkä
2007 J jnl
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density.
Neurocomputing
Simo Särkkä, Aki Vehtari, Jouko Lampinen
2007 J jnl
On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems.
IEEE Trans. Autom. Control.
Simo Särkkä
2007 J jnl
Rao-Blackwellized particle filter for multiple target tracking.
Inf. Fusion
Simo Särkkä, Aki Vehtari, Jouko Lampinen
2004 B conf
Time series prediction by Kalman smoother with cross-validated noise density.
IJCNN
Simo Särkkä, Aki Vehtari, Jouko Lampinen
2004 B conf
Time series prediction by Kalman smoother with cross-validated noise density.
IJCNN
Simo Särkkä, Aki Vehtari, Jouko Lampinen
2000 — conf
On MCMC Sampling in Bayesian MLP Neural Networks.
IJCNN (1)
Aki Vehtari, Simo Särkkä, Jouko Lampinen