Simo Särkkä

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 181

Top Venues

Publications

Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Conditioning diffusion models by explicit forward-backward bridging. CoRR (2024)
Muhammad F. Emzir, Zheng Zhao, Lahouari Cheded, Simo Särkkä
Gaussian-Based Parametric Bijections for Automatic Projection Filters. IEEE Trans. Autom. Control. 69 (5) (2024)
Yvann Le Fay, Simo Särkkä, Adrien Corenflos
Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics. CoRR (2024)
Ahmad Farooq, Cristian A. Galvis-Florez, Simo Särkkä
Quantum-Assisted Hilbert-Space Gaussian Process Regression. CoRR (2024)
Zaeed Khan, Matias Rusanen, Miika Arvonen, Timo Leppänen, Simo Särkkä
Joint Use of a Low Thermal Resolution Thermal Camera and an RGB Camera for Respiration Measurement. IEEE Trans. Instrum. Meas. 73 (2024)
Christos Merkatas, Simo Särkkä
A Gibbs Sampler for Bayesian Nonparametric State-Space Models. ICASSP (2024)
Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
Nesting Particle Filters for Experimental Design in Dynamical Systems. CoRR (2024)
Cristian A. Galvis-Florez, Daniel Reitzner, Simo Särkkä
Single Qubit State Estimation on NISQ Devices with Limited Resources and SIC-POVMs. QCE (2023)
Arina Odnoblyudova, Caglar Hizli, ST John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. ML4H@NeurIPS (2023)
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
A probabilistic Taylor expansion with Gaussian processes. Trans. Mach. Learn. Res. 2023 (2023)
Chetan Gupta, Rustam Latypov, Yannic Maus, Shreyas Pai, Simo Särkkä, Jan Studený, Jukka Suomela, Jara Uitto, Hossein Vahidi
Fast Dynamic Programming in Trees in the MPC Model. CoRR (2023)
Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelization of Dynamic Programming and Linear Quadratic Control. IEEE Trans. Autom. Control. 68 (2) (2023)
Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön
Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Trans. Signal Process. 71 (2023)
Adrien Corenflos, Simo Särkkä
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems. CoRR (2023)
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
Online pole segmentation on range images for long-term LiDAR localization in urban environments. Robotics Auton. Syst. 159 (2023)
Xiaofeng Ma, Simo Särkkä
Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints. IPIN (2023)
William J. Wilkinson, Simo Särkkä, Arno Solin
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. J. Mach. Learn. Res. 24 (2023)
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. EUSIPCO (2023)
Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing. CoRR (2023)
Muhammad F. Emzir, Zheng Zhao, Simo Särkkä
Multidimensional projection filters via automatic differentiation and sparse-grid integration. Signal Process. 204 (2023)
Ajinkya Gorad, Simo Särkkä
Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking. MLSP (2023)
Arina Odnoblyudova, Çaglar Hizli, ST John, Andrea Cognolato, Anne Juuti, Simo Särkkä, Kirsi Pietiläinen, Pekka Marttinen
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics. CoRR (2023)
Ajinkya Gorad, Sakira Hassan, Simo Särkkä
Vessel Bearing Estimation Using Visible and Thermal Imaging. SCIA (2) (2023)
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. CoRR (2023)
Simo Särkkä, Ángel F. García-Fernández
On The Temporal Parallelisation of The Viterbi Algorithm. EUSIPCO (2023)
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä
Parallel-in-Time Probabilistic Numerical ODE Solvers. CoRR (2023)
Harshit Agrawal, Ari Hietanen, Simo Särkkä
Deep Learning Based Projection Domain Metal Segmentation for Metal Artifact Reduction in Cone Beam Computed Tomography. IEEE Access 11 (2023)
Syeda Sakira Hassan, Simo Särkkä
Fourier-Hermite Dynamic Programming for Optimal Control. IEEE Trans. Autom. Control. 68 (10) (2023)
Chetan Gupta, Rustam Latypov, Yannic Maus, Shreyas Pai, Simo Särkkä, Jan Studený, Jukka Suomela, Jara Uitto, Hossein Vahidi
Fast Dynamic Programming in Trees in the MPC Model. SPAA (2023)
Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control. CoRR (2022)
Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann
Guest Editorial: MLSP 2020 Special Issue. J. Signal Process. Syst. 94 (2) (2022)
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. CoRR (2022)
Adrien Corenflos, Nicolas Chopin, Simo Särkkä
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother. J. Mach. Learn. Res. 23 (2022)
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. CoRR (2022)
Matti Raitoharju, Roland Hostettler, Simo Särkkä
Posterior linearisation filter for non-linear state transformation noises. FUSION (2022)
Filip Tronarp, Simo Särkkä
Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space. FUSION (2022)
Sakira Hassan, Simo Särkkä
Fourier-Hermite Dynamic Programming for Optimal Control. CoRR (2022)
Harshit Agrawal, Ari Hietanen, Simo Särkkä
Metal artifact correction in cone beam computed tomography using synthetic X-ray data. CoRR (2022)
Adrien Corenflos, Zheng Zhao, Simo Särkkä
Temporal Gaussian Process Regression in Logarithmic Time. FUSION (2022)
Rui Gao, Simo Särkkä, Rubén M. Clavería, Simon J. Godsill
Autonomous Tracking and State Estimation With Generalized Group Lasso. IEEE Trans. Cybern. 52 (11) (2022)
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
Parallel square-root statistical linear regression for inference in nonlinear state space models. CoRR (2022)
Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments. CoRR (2022)
Muhammad F. Emzir, Niki A. Loppi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. FUSION (2022)
Zheng Zhao, Simo Särkkä
Non-Linear Gaussian Smoothing With Taylor Moment Expansion. IEEE Signal Process. Lett. 29 (2022)
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification. IEEE Access 10 (2022)
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
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
Parallel Iterated Extended and Sigma-Point Kalman Smoothers. ICASSP (2021)
Leo McCormack, Archontis Politis, Simo Särkkä, Ville Pulkki
Real-Time Tracking of Multiple Acoustical Sources Utilising Rao-Blackwellised Particle Filtering. EUSIPCO (2021)
David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR (2021)
Simo Särkkä, Christos Merkatas, Toni Karvonen
Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms. MLSP (2021)
Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
Kernel-based interpolation at approximate Fekete points. Numer. Algorithms 87 (1) (2021)
William J. Wilkinson, Simo Särkkä, Arno Solin
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees. CoRR (2021)
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. CoRR (2021)
Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä
Improved Calibration of Numerical Integration Error in Sigma-Point Filters. IEEE Trans. Autom. Control. 66 (3) (2021)
Matti Raitoharju, Henri Nurminen, Demet Cilden-Guler, Simo Särkkä
Kalman filtering with empirical noise models. ICL-GNSS (2021)
Syeda Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelization of Inference in Hidden Markov Models. IEEE Trans. Signal Process. 69 (2021)
Adrien Corenflos, Zheng Zhao, Simo Särkkä
Gaussian Process Regression in Logarithmic Time. CoRR (2021)
Zheng Zhao, Simo Särkkä
Non-linear Gaussian smoothing with Taylor moment expansion. CoRR (2021)
Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. IEEE Trans. Autom. Control. 66 (9) (2021)
Filip Tronarp, Simo Särkkä, Philipp Hennig
Bayesian ODE solvers: the maximum a posteriori estimate. Stat. Comput. 31 (3) (2021)
Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelization of Inference in Hidden Markov Models. CoRR (2021)
Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelization of Bayesian Smoothers. IEEE Trans. Autom. Control. 66 (1) (2021)
Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä
Parallel Iterated Extended and Sigma-point Kalman Smoothers. CoRR (2021)
Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control. CoRR (2021)
Harshit Agrawal, Ari Hietanen, Simo Särkkä
Metal Artifact Reduction In Cone-Beam Extremity Images Using Gated Convolutions. ISBI (2021)
Zheng Zhao, Muhammad F. Emzir, Simo Särkkä
Deep state-space Gaussian processes. Stat. Comput. 31 (6) (2021)
Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
Correction to: Kernel-based interpolation at approximate Fekete points. Numer. Algorithms 87 (1) (2021)
Rui Gao, Filip Tronarp, Simo Särkkä
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes. CoRR (2020)
Rui Gao, Filip Tronarp, Simo Särkkä
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes. IEEE Signal Process. Lett. 27 (2020)
Arno Solin, Simo Särkkä
Hilbert space methods for reduced-rank Gaussian process regression. Stat. Comput. 30 (2) (2020)
Zheng Zhao, Muhammad F. Emzir, Simo Särkkä
Deep State-Space Gaussian Processes. CoRR (2020)
Jarkko Suuronen, Muhammad F. Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods. CoRR (2020)
Rui Gao, Simo Särkkä
Augmented Sigma-Point Lagrangian Splitting Method for Sparse Nonlinear State Estimation. EUSIPCO (2020)
Hüseyin Yigitler, Ossi Kaltiokallio, Roland Hostettler, Alemayehu Solomon Abrar, Riku Jäntti, Neal Patwari, Simo Särkkä
RSS Models for Respiration Rate Monitoring. IEEE Trans. Mob. Comput. 19 (3) (2020)
Zheng Zhao, Simo Särkkä, Ali Bahrami Rad
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. J. Signal Process. Syst. 92 (7) (2020)
Simo Särkkä, Lennart Svensson
Levenberg-Marquardt and Line-Search Extended Kalman Smoothers. ICASSP (2020)
Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. BMVC (2020)
Toni Karvonen, Silvère Bonnabel, Eric Moulines, Simo Särkkä
On Stability of a Class of Filters for Nonlinear Stochastic Systems. SIAM J. Control. Optim. 58 (4) (2020)
David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä
A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Ajinkya Gorad, Zheng Zhao, Simo Särkkä
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters. MLSP (2020)
Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Toni Karvonen, Simo Särkkä
Worst-case optimal approximation with increasingly flat Gaussian kernels. Adv. Comput. Math. 46 (2) (2020)
Salla Aario, Ajinkya Gorad, Miika Arvonen, Simo Särkkä
Respiratory Pattern Recognition from Low-Resolution Thermal Imaging. ESANN (2020)
Zheng Zhao, Filip Tronarp, Roland Hostettler, Simo Särkkä
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. ICASSP (2020)
Matti Raitoharju, Ángel F. García-Fernández, Roland Hostettler, Robert Piché, Simo Särkkä
Gaussian mixture models for signal mapping and positioning. Signal Process. 168 (2020)
Filip Tronarp, Simo Särkkä, Philipp Hennig
Bayesian ODE Solvers: The Maximum A Posteriori Estimate. CoRR (2020)
Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access 8 (2020)
Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions. CoRR (2020)
Roland Hostettler, Filip Tronarp, Ángel F. García-Fernández, Simo Särkkä
Importance Densities for Particle Filtering Using Iterated Conditional Expectations. IEEE Signal Process. Lett. 27 (2020)
Toni Karvonen, Simo Särkkä, Chris J. Oates
Symmetry exploits for Bayesian cubature methods. Stat. Comput. 29 (6) (2019)
Rui Gao, Filip Tronarp, Simo Särkkä
-Regularized State Estimation. IEEE Trans. Signal Process. 67 (19) (2019)
Filip Tronarp, Simo Särkkä
Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems. Signal Process. 159 (2019)
Rui Gao, Filip Tronarp, Simo Särkkä
-Regularized State Estimation. CoRR (2019)
Simo Särkkä, Ángel F. García-Fernández
Temporal Parallelization of Bayesian Filters and Smoothers. CoRR (2019)
Matti Raitoharju, Ángel F. García-Fernández, Simo Särkkä
Partitioned Update Binomial Gaussian Mixture Filter. FUSION (2019)
Toni Karvonen, Simo Särkkä
Worst-case optimal approximation with increasingly flat Gaussian kernels. CoRR (2019)
Ángel F. García-Fernández, Roland Hostettler, Simo Särkkä
Rao-Blackwellized Posterior Linearization Backward SLAM. IEEE Trans. Veh. Technol. 68 (5) (2019)
Juha Sarmavuori, Simo Särkkä
On the Convergence of Numerical Integration as a Finite Matrix Approximation to Multiplication Operator. CoRR (2019)
Rui Gao, Filip Tronarp, Zheng Zhao, Simo Särkkä
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method. MLSP (2019)
Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. IEEE Trans. Autom. Control. 64 (7) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simo Särkkä