Bayesian Inference in High-Energy Physics

Session

Results talks

May 25, 2022, 2:00 PM

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)

5/25/22, 2:00 PM

3. Bayesian Inference of QCD splittings with Invertible Networks

Theo Heimel (U. Heidelberg, ITP)

5/25/22, 2:35 PM

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)

5/25/22, 3:10 PM

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

Steffen Bass (Duke University)

5/25/22, 4:15 PM

7. Exploring phase space with Nested Sampling

David Yallup (University of Cambridge)

5/25/22, 4:50 PM