A Modern Retrospective on Probabilistic Numerics

14 January 2019

Papers citing "A Modern Retrospective on Probabilistic Numerics"

11 / 11 papers shown

Title
Fenrir: Physics-Enhanced Regression for Initial Value Problems Filip Tronarp Nathanael Bosch Philipp Hennig 33 13 0 02 Feb 2022
GParareal: A time-parallel ODE solver using Gaussian process emulation K. Pentland M. Tamborrino Timothy John Sullivan J. Buchanan Lynton C. Appel 11 8 0 31 Jan 2022
ProbNum: Probabilistic Numerics in Python Jonathan Wenger Nicholas Kramer Marvin Pfortner Jonathan Schmidt Nathanael Bosch ... A. Gessner Toni Karvonen F. Briol Maren Mahsereci Philipp Hennig 52 17 0 03 Dec 2021
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation Tom Lefebvre Guillaume Crevecoeur 19 6 0 06 Oct 2021
Stochastic parareal: an application of probabilistic methods to time-parallelisation K. Pentland M. Tamborrino D. Samaddar Lynton C. Appel 11 13 0 18 Jun 2021
Bayesian Numerical Methods for Nonlinear Partial Differential Equations Junyang Wang Jon Cockayne O. Chkrebtii T. Sullivan Chris J. Oates 56 19 0 22 Apr 2021
Stable Implementation of Probabilistic ODE Solvers Nicholas Kramer Philipp Hennig 102 20 0 18 Dec 2020
Calibrated Adaptive Probabilistic ODE Solvers Nathanael Bosch Philipp Hennig Filip Tronarp 33 29 0 15 Dec 2020
Probabilistic Linear Solvers for Machine Learning Jonathan Wenger Philipp Hennig 28 17 0 19 Oct 2020
Bayesian ODE Solvers: The Maximum A Posteriori Estimate Filip Tronarp Simo Sarkka Philipp Hennig 43 42 0 01 Apr 2020
A Role for Symmetry in the Bayesian Solution of Differential Equations Junyang Wang Jon Cockayne Chris J. Oates 16 7 0 24 Jun 2019