Fenrir: Physics-Enhanced Regression for Initial Value Problems

2 February 2022

Papers citing "Fenrir: Physics-Enhanced Regression for Initial Value Problems"

10 / 10 papers shown

Title
Numerically robust Gaussian state estimation with singular observation noise Nicholas Krämer Filip Tronarp 49 0 0 13 Mar 2025
Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements Nicholas Krämer 19 0 0 14 Oct 2024
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations Jonas Beck Nathanael Bosch Michael Deistler Kyra L. Kadhim Jakob H. Macke Philipp Hennig Philipp Berens DiffM 34 4 0 19 Feb 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers Nathanael Bosch Adrien Corenflos F. Yaghoobi Filip Tronarp Philipp Hennig Simo Särkkä 27 3 0 02 Oct 2023
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference Samarth Gupta Saurabh Amin 9 0 0 30 Jun 2023
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions Jonathan Schmidt Philipp Hennig Jorg Nick Filip Tronarp 15 9 0 13 Jun 2023
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations Mohan Wu Martin Lysy 36 4 0 08 Jun 2023
Probabilistic Exponential Integrators Nathanael Bosch Philipp Hennig Filip Tronarp 17 6 0 24 May 2023
Random Grid Neural Processes for Parametric Partial Differential Equations A. Vadeboncoeur Ieva Kazlauskaite Y. Papandreou F. Cirak Mark Girolami Ömer Deniz Akyildiz AI4CE 20 11 0 26 Jan 2023
Stable Implementation of Probabilistic ODE Solvers Nicholas Kramer Philipp Hennig 91 20 0 18 Dec 2020