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Probabilistic Gradients for Fast Calibration of Differential Equation
  Models
v1v2 (latest)

Probabilistic Gradients for Fast Calibration of Differential Equation Models

3 September 2020
Jon Cockayne
Andrew B. Duncan
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Gradients for Fast Calibration of Differential Equation Models"

2 / 2 papers shown
Title
Learning Where to Learn: Training Distribution Selection for Provable OOD Performance
Learning Where to Learn: Training Distribution Selection for Provable OOD Performance
Nicolas Guerra
Nicholas H. Nelsen
Yunan Yang
OOD
71
0
0
27 May 2025
Bayesian Numerical Methods for Nonlinear Partial Differential Equations
Bayesian Numerical Methods for Nonlinear Partial Differential Equations
Junyang Wang
Jon Cockayne
O. Chkrebtii
T. Sullivan
Chris J. Oates
120
19
0
22 Apr 2021
1