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- 2022
-
Mark
Fenrir: Physics-Enhanced Regression for Initial Value Problems
2022) 39th International Conference on Machine Learning, ICML 2022 In Proceedings of Machine Learning Research 162.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Pick-and-mix information operators for probabilistic ODE solvers
2022) 25th International Conference on Artificial Intelligence and Statistics In Proceedings of Machine Learning Research 151.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
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
-
Mark
Calibrated Adaptive Probabilistic ODE Solvers
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
-
Mark
Bayesian ode solvers: The maximum a posteriori estimate
(
- Contribution to journal › Article
- 2020
-
Mark
Variable splitting methods for constrained state estimation in partially observed markov processes
(
- Contribution to journal › Letter
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Mark
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
(
- Contribution to journal › Article
-
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
Importance Densities for Particle Filtering Using Iterated Conditional Expectations
(
- Contribution to journal › Article
-
Mark
Iterative and Geometric Methods for State Estimation in Non-linear Models
(
- Thesis › Doctoral thesis (compilation)