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- 2022
-
Mark
Continuous-discrete filtering and smoothing on submanifolds of euclidean space
2022) 25th International Conference on Information Fusion, FUSION 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
Bayesian ode solvers: The maximum a posteriori estimate
(
- Contribution to journal › Article
- 2020
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Mark
Variable splitting methods for constrained state estimation in partially observed markov processes
(
- Contribution to journal › Letter
-
Mark
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations
2020) IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
(
- Contribution to journal › Article
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Mark
Importance Densities for Particle Filtering Using Iterated Conditional Expectations
(
- Contribution to journal › Article
- 2019
-
Mark
Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems
(
- Contribution to journal › Article
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Mark
Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities
2019) IEEE International Conference on Acoustics, Speech, and Signal Processing 2019(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Iterated Extended Kalman Smoother-Based Variable Splitting for L1-Regularized State Estimation
(
- Contribution to journal › Article
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Mark
Student's t-Filters for Noise Scale Estimation
(
- Contribution to journal › Article
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Mark
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein–Uhlenbeck Prior
2019) IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective
(
- Contribution to journal › Article
-
Mark
Gaussian target tracking with direction-of-arrival von Mises–Fisher measurements
(
- Contribution to journal › Article
-
Mark
Gaussian Process Classification Using Posterior Linearization
(
- Contribution to journal › Letter
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Mark
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method
2019) IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization
2019) 22th International Conference on Information Fusion (FUSION)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion
2018) 21st International Conference on Information Fusion, FUSION 2018(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Continuous-Discrete von Mises-Fisher Filtering on S2 for Reference Vector Tracking
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction
2018) 26th European Signal Processing Conference, EUSIPCO 2018(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Mixture representation of the Matérn class with applications in state space approximations and Bayesian quadrature
2018)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Modeling the Drift Function in Stochastic Differential Equations using Reduced Rank Gaussian Processes
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Iterative Filtering and Smoothing in Nonlinear and Non-Gaussian Systems Using Conditional Moments
(
- Contribution to journal › Letter
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Mark
Tracking of dynamic functional connectivity from MEG data with Kalman filtering
2018) 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
-
Mark
Expectation–maximization algorithm with a nonlinear kalman smoother for MEG/EEG connectivity estimation
2017) Joint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107 In IFMBE Proceedings 65. p.763-766(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise
2017) 20th International Conference on Information Fusion, FUSION 2017(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
-
Mark
Sigma-point filtering for nonlinear systems with non-additive heavy-tailed noise
2016) 19th International Conference on Information Fusion (FUSION)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding