Bayesian Inference in High-Energy Physics

Session

Results talks

25 May 2022, 14:00

OC218 (IPPP)

Description

Talks on existing papers, results, etc. by some of its authors

2. Mapping Machine-Learned Physics into a Human-Readable Space

Taylor Faucett (UC, Irvine)

25/05/2022, 14:00

3. Bayesian Inference of QCD splittings with Invertible Networks

Theo Heimel (U. Heidelberg, ITP)

25/05/2022, 14:35

4. How well do we know the neutron-matter equation of state at the densities inside neutron stars? A Bayesian approach with correlated uncertainties

Jordan Melendez (The Ohio State University)

25/05/2022, 15:10

6. A graphical multi-fidelity Gaussian process model, with application to emulation of expensive computer simulations

Steffen Bass (Duke University)

25/05/2022, 16:15

7. Exploring phase space with Nested Sampling

David Yallup (University of Cambridge)

25/05/2022, 16:50