Name: Bayesian Inference in High-Energy Physics
Start: 2022-05-25T09:00:00+01:00
End: 2022-05-27T18:00:00+01:00
Location: IPPP

Bayesian Inference in High-Energy Physics

from Wednesday, May 25, 2022 (9:00 AM) to Friday, May 27, 2022 (6:00 PM)

Monday, May 23, 2022
Tuesday, May 24, 2022
Wednesday, May 25, 2022

10:00 AM Durham Locals Session: Intro to Bayesian Inference (for our local PhD / PostDoc / Staff)
Durham Locals Session: Intro to Bayesian Inference (for our local PhD / PostDoc / Staff)
10:00 AM - 11:30 AM
Room: OC218 Attendance from workshop participants is welcome but not expected. This session is aimed at introducing some of the basic ideas of Bayesian Inference to our local PhD/ PostDocs and interested staff members.

1:55 PM Workshop Official Start & Welcome
Workshop Official Start & Welcome
1:55 PM - 2:00 PM
Room: OC218
2:00 PM
2:00 PM - 6:00 PM
Room: OC218
Contributions

2:00 PM Mapping Machine-Learned Physics into a Human-Readable Space - Taylor Faucett (UC, Irvine)

2:35 PM Bayesian Inference of QCD splittings with Invertible Networks - Theo Heimel (U. Heidelberg, ITP)

3:10 PM 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)

4:15 PM A graphical multi-fidelity Gaussian process model, with application to emulation of expensive computer simulations - Steffen Bass (Duke University)

4:50 PM Exploring phase space with Nested Sampling - David Yallup (University of Cambridge)
Thursday, May 26, 2022
9:00 AM Mathematical aspects of Bayesian inference, by the Statistics group @ Durham
Mathematical aspects of Bayesian inference, by the Statistics group @ Durham
9:00 AM - 12:50 PM
Room: OC218
Contributions

9:00 AM Fully Bayesian parameter inference for Markov processes - Darren Wilkinson (Department of Mathematical Sciences at Durham University)

9:40 AM Bayes linear strategies for emulation and history matching for complex computer models - Michael Goldstein (Department of Mathematical Sciences at Durham University)

10:20 AM Multilevel Emulation of Complex Computer Models, with application to EAGLE, a Galaxy Formation Simulation - Ian Vernon (Department of Mathematical Sciences at Durham University)

11:20 AM Enforcing stationarity through the prior in vector autoregressions - Sarah Heaps (Department of Mathematical Sciences at Durham University)

12:00 PM Contemporaneous MCMC - Louis Aslett (Department of Mathematical Sciences at Durham University)
1:00 PM Buffet Lunch
Buffet Lunch
1:00 PM - 2:30 PM
Room: OC218
2:40 PM Topics talks on Bayesian Inference in HEP
Topics talks on Bayesian Inference in HEP
2:40 PM - 6:40 PM
Room: OC218
Contributions

2:40 PM Differentiable programming and its applications - Lukas Heinrich (Technical University Munich)

3:20 PM HEP Simulator issues tackled with Bayesian Inference - Manuel Szewc (IJS & ICAS-UNSAM)

4:30 PM Quantifying Uncertainty in Deep Learning - Mike Walmsley (University of Manchester)

5:10 PM The inverse problem challenge in lattice QCD - Alexander Rothkopf (University of Stavanger)
7:00 PM Conference Dinner
Conference Dinner
7:00 PM - 9:00 PM
Friday, May 27, 2022
9:00 AM Topics talks on Bayesian Inference in HEP
Topics talks on Bayesian Inference in HEP
9:00 AM - 11:00 AM
Room: OC218
Contributions

9:00 AM Causal Inference - Ezequiel Alvarez (ICAS, UNSAM)

9:40 AM Representation Learning for HEP - Barry Dillon (University of Heidelberg)

10:20 AM Bayesian community criteria for anomaly evaluation - Jernej Kamenik (Jozef Stefan Institute & Ljubljana University)
11:00 AM Coffee
Coffee
11:00 AM - 11:30 AM
Room: OC218

11:30 AM

11:30 AM - 12:30 PM
Room: OC218

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