Filip Tronarp

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2021
Mark Calibrated Adaptive Probabilistic ODE Solvers
Bosch, Nathanael ; Hennig, Philipp and Tronarp, Filip ^LU (2021) 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021 In Proceedings of Machine Learning Research 130. p.3466-3474
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2020
Mark Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
Tronarp, Filip ^LU ; Karvonen, Toni ; Wynne, George ; Oates, Chris and Särkkä, Simo (2020) In SIAM/ASA Journal on Uncertainty Quantification 8(3).
- Contribution to journal › Article
Mark State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations
Zhao, Zheng ; Tronarp, Filip ^LU ; Särkkä, Simo and Hostettler, Roland (2020) IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Importance Densities for Particle Filtering Using Iterated Conditional Expectations
Tronarp, Filip ^LU ; Hostettler, Roland ; Särkkä, Simo and Garcia-Fernandez, Angel F (2020) In IEEE Signal Processing Letters 27. p.211-215
- Contribution to journal › Article
Mark Iterative and Geometric Methods for State Estimation in Non-linear Models
Tronarp, Filip ^LU (2020) In Aalto University publication series DOCTORAL DISSERTATIONS, 12/2020 2020(12).
- Thesis › Doctoral thesis (compilation)
Mark Variable splitting methods for constrained state estimation in partially observed markov processes
Gao, Rui ; Tronarp, Filip ^LU and Sarkka, Simo (2020) In IEEE Signal Processing Letters 27. p.1305-1309
- Contribution to journal › Letter
2019
Mark Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
Tronarp, Filip ^LU ; Kersting, Hans ; Hennig, Philipp and Särkkä, Simo (2019) In Statistics and Computing 29(6). p.1297-1315
- Contribution to journal › Article
Mark Iterated Extended Kalman Smoother-Based Variable Splitting for L₁-Regularized State Estimation
Gao, Rui ; Tronarp, Filip ^LU and Särkkä, Simo (2019) In IEEE Transactions on Signal Processing 67(19). p.5078-5092
- Contribution to journal › Article
Mark Gaussian target tracking with direction-of-arrival von Mises–Fisher measurements
Garcia-Fernandez, Angel F ; Tronarp, Filip ^LU and Särkkä, Simo (2019) In Transactions on Signal Processing 67(11).
- Contribution to journal › Article
Mark Student's t-Filters for Noise Scale Estimation
Tronarp, Filip ^LU ; Karvonen, Toni and Sarkka, Simo (2019) In IEEE Signal Processing Letters 26(2). p.352-356
- Contribution to journal › Article