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Filip Tronarp

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Parallel-in-Time Probabilistic Numerical ODE Solvers

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Oct 02, 2023
Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä

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The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions

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Jun 28, 2023
Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp

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Probabilistic Exponential Integrators

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May 24, 2023
Nathanael Bosch, Philipp Hennig, Filip Tronarp

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Orthonormal Expansions for Translation-Invariant Kernels

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Jun 17, 2022
Filip Tronarp, Toni Karvonen

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Fenrir: Physics-Enhanced Regression for Initial Value Problems

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Feb 02, 2022
Filip Tronarp, Nathanael Bosch, Philipp Hennig

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Pick-and-Mix Information Operators for Probabilistic ODE Solvers

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Oct 20, 2021
Nathanael Bosch, Filip Tronarp, Philipp Hennig

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A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations

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Feb 01, 2021
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä

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Calibrated Adaptive Probabilistic ODE Solvers

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Dec 15, 2020
Nathanael Bosch, Philipp Hennig, Filip Tronarp

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Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space

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Apr 17, 2020
Filip Tronarp, Simo Särkkä

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Bayesian ODE Solvers: The Maximum A Posteriori Estimate

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Apr 01, 2020
Filip Tronarp, Simo Sarkka, Philipp Hennig

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