Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Session

ML as component of exact algorithms

talks and panel discussion

Mar 1, 2023, 2:30 PM

Institute for Advanced Study of the Technische Universität München

Conveners

ML as component of exact algorithms

• Phiala Shanahan ()

Description

Talks and panel discussion

Contribution list Timetable

56. Building Transport Maps and Making Good Use of Them

Michael Albergo

3/1/23, 2:30 PM

10. Automatic differentiation for Lattice QCD

A. Ramos

3/1/23, 3:00 PM

57. Symbolic Distillation of Neural Networks

Miles Cranmer

3/1/23, 3:25 PM

58. Panel discussion: 1. Meaning of "exact" algorithms 2. in-principle vs in-practice exactness 3. applications for exactness

Chair: Phiala Shanahan, Members: Michael Albergo, Andrei Alexandru, Miles Cranmer

3/1/23, 3:55 PM

• What does it mean to have an ML-accelerated algorithm that is “exact”?
Discuss the distinction between exact algs, interpretable algs, and algs that allow error propagation.
• What are the differences between in-principle and in-practice exactness? Are they important?
• In what applications (both in LQFT and drawing parallels to other ares in physics) is it important to guarantee...