Aug 8 – 13, 2022
Hörsaalzentrum Poppelsdorf
Europe/Berlin timezone

Status update on flow models for gauge field generation

Aug 8, 2022, 4:30 PM
20m
CP1-HSZ/1st-1.004 - HS7 (CP1-HSZ)

CP1-HSZ/1st-1.004 - HS7

CP1-HSZ

70
Oral Presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms

Speaker

Phiala Shanahan (MIT)

Description

I will describe recent progress in the development of custom machine learning architectures based on flow models for the efficient sampling of gauge field configurations. I will present updates on the status of this program and outline the challenges and potential of the approach.

Primary authors

Phiala Shanahan (MIT) Ryan Abbott (MIT) Michael Albergo (New York University) Denis Boyda (Argonne) Kyle Cranmer Dan Hackett Gurtej Kanwar (University of Bern) Sebastian Racaniere (Deep Mind) Danilo Rezende (Deep Mind) Fernando Romero-Lopez (MIT) Julian Urban (ITP Heidelberg)

Presentation materials