Filip Tronarp

Mathematical Statistics

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2024
Mark Orthonormal expansions for translation-invariant kernels
Tronarp, Filip ^LU and Karvonen, Toni (2024) In Journal of Approximation Theory 302.
- Contribution to journal › Article
Mark Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control
Lahr, Amon ; Tronarp, Filip ^LU ; Bosch, Nathanael ; Schmidt, Jonathan ; Hennig, Philipp and Zeilinger, Melanie N. (2024) 6th Annual Learning for Dynamics and Control Conference, L4DC 2024 In Proceedings of Machine Learning Research 242. p.1018-1032
- Contribution to journal › Article
Mark Numerically robust square root implementations of statistical linear regression filters and smoothers
Tronarp, Filip ^LU (2024) 32nd European Signal Processing Conference, EUSIPCO 2024 p.2597-2601
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2023
Mark Probabilistic Exponential Integrators
Bosch, Nathanael ; Hennig, Philipp and Tronarp, Filip ^LU (2023) 37th Conference on Neural Information Processing Systems, NeurIPS 2023 In Advances in Neural Information Processing Systems 36.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark The Rank-Reduced Kalman Filter : Approximate Dynamical-Low-Rank Filtering In High Dimensions
Schmidt, Jonathan ; Nick, Jörg ; Hennig, Philipp and Tronarp, Filip ^LU (2023) 37th Conference on Neural Information Processing Systems, NeurIPS 2023 36.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark A probabilistic Taylor expansion with Gaussian processes
Karvonen, Toni ; Cockayne, Jon ; Tronarp, Filip ^LU and Särkkä, Simo (2023) In Transactions on Machine Learning Research 2023.
- Contribution to journal › Article
2022
Mark Fenrir: Physics-Enhanced Regression for Initial Value Problems
Tronarp, Filip ^LU ; Hennig, Philipp and Bosch, Nathanael (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
Bosch, Nathanael ; Tronarp, Filip ^LU and Hennig, Philipp (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
Tronarp, Filip ^LU and Särkkä, Simo (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
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

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