Bayesian differential programming for robust systems identification under uncertainty

15 April 2020

Papers citing "Bayesian differential programming for robust systems identification under uncertainty"

5 / 5 papers shown

Title
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis Yasamin Jalalian Juan Felipe Osorio Ramirez Alexander W. Hsu Bamdad Hosseini H. Owhadi 39 0 0 02 Mar 2025
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Zongren Zou Xuhui Meng Apostolos F. Psaros George Karniadakis AI4CE 22 36 0 25 Aug 2022
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling Kookjin Lee Nathaniel Trask P. Stinis 17 24 0 11 Sep 2021
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 97 1,150 0 04 Mar 2015
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,260 0 09 Jun 2012