4 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ME2025
Joint Bayesian Inference of Parameter and Discretization Error Uncertainties in ODE Models
Shoji Toyota, Yuto Miyatake
We address the problem of Bayesian inference for parameters in ordinary differential equation (ODE) models based on observational data. Conventional approaches in this setting typi…
cs.LG2024★ 4 cited
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff, Alana Darcher, Michael Deistler +18
Generative models are invaluable in many fields of science because of their ability to capture high-dimensional and complicated distributions, such as photo-realistic images, prote…