Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations

1 code implementation • 19 Feb 2024 • Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens

Ordinary differential equations (ODEs) are widely used to describe dynamical systems in science, but identifying parameters that explain experimental measurements is challenging.

Efficient identification of informative features in simulation-based inference

1 code implementation • 21 Oct 2022 • Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob Macke, Philipp Berens

To this end, many SBI methods employ a set of summary statistics or scientifically interpretable features to estimate a surrogate likelihood or posterior.

Bayesian Inference