Author Info
Name
Affiliation
Papers
FILIP TRONARP
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
16
Collaborators
Citations 
PageRank 
17
8
5.65
Referers 
Referees 
References 
25
58
24
Title
Citations
PageRank
Year
Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space00.342022
Pick-and-Mix Information Operators for Probabilistic ODE Solvers00.342022
Bayesian Ode Solvers: The Maximum A Posteriori Estimate00.342021
Importance Densities for Particle Filtering Using Iterated Conditional Expectations.10.362020
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions00.342020
Gaussian Target Tracking With Direction-of-Arrival von Mises-Fisher Measurements.30.422019
Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective.10.392019
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein–Uhlenbeck Prior00.342019
Iterated Extended Kalman Smoother-based Variable Splitting for L-Regularized State Estimation.00.342019
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method10.352019
Student's $t$-Filters for Noise Scale Estimation.00.342019
Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction.00.342018
Gaussian Process Classification Using Posterior Linearization00.342018
Tracking of dynamic functional connectivity from MEG data with Kalman filtering.00.342018
MIXTURE REPRESENTATION OF THE MATÉRN CLASS WITH APPLICATIONS IN STATE SPACE APPROXIMATIONS AND BAYESIAN QUADRATURE00.342018
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments.20.412018