Tronarp, Filip

8 publications

JMLR 2024 Parallel-in-Time Probabilistic Numerical ODE Solvers Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä

L4DC 2024 Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger

TMLR 2023 A Probabilistic Taylor Expansion with Gaussian Processes Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä

NeurIPS 2023 Probabilistic Exponential Integrators Nathanael Bosch, Philipp Hennig, Filip Tronarp

NeurIPS 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering in High Dimensions Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp

AISTATS 2022 Pick-and-Mix Information Operators for Probabilistic ODE Solvers Nathanael Bosch, Filip Tronarp, Philipp Hennig

ICML 2022 Fenrir: Physics-Enhanced Regression for Initial Value Problems Filip Tronarp, Nathanael Bosch, Philipp Hennig

AISTATS 2021 Calibrated Adaptive Probabilistic ODE Solvers Nathanael Bosch, Philipp Hennig, Filip Tronarp