Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Session

EFT, Lattice and ML

talks and panel discussion

1 Mar 2023, 09:00

Institute for Advanced Study of the Technische Universität München

Conveners

EFT, Lattice and ML

• Nora Brambilla (Physik Department, TU Munich)

EFT, Lattice and ML

• Nora Brambilla (Physik Department, TU Munich)

EFT, Lattice and ML

• There are no conveners in this block

EFT, Lattice and ML

• There are no conveners in this block

Description

Talks and panel discussion

23. Learning Trivializing Gradient Flows

Simone Bacchio

01/03/2023, 09:00

Talk

30. An analysis of Bayesian estimates for missing higher orders in perturbative calculations

Aleksas Mazeliauskas

01/03/2023, 09:40

35. Generative models and EFTs

Marina Marinkovic

01/03/2023, 10:10

Talk

91. Finite-volume pionless EFT for multi-nucleon systems with differential programming

Fernando Romero-Lopez

01/03/2023, 11:10

92. Panel discussion: 1. What can EFTs do for ML4LATTICE? 2. What ML4LATTICE could do for EFTs?

Chair: Nora Brambilla, Members: Marina Marinkovic, Phiala Shanahan, William Detmold, Aleksas Mazeliauskas

01/03/2023, 11:40

--what can EFTs do for ML4LATTICE?
--what ML4LATTICE could do for EFTs?

103. Machine learning for symbolic computation in high energy physics

Abdulhakim Alnuqayqdan

03/03/2023, 14:00

105. Alleviating the Sign Problem via Contour Deformation and Machine Learning

Thomas Luu

03/03/2023, 14:25

106. Gauge-equivariant neural networks as preconditioners in lattice QCD

Christoph Lehner

03/03/2023, 14:50

86. Deep Learning and the Standard Model: a philosophy of science perspective

Luigi Scorzato

03/03/2023, 15:40

108. The route towards phase transition recognition in Lattice Gauge Theories

Andreas Athenodorou

03/03/2023, 16:10

112. Search for Exotic Higgs Bosons using Quantum Machine Learning

Nakul Aggarwal

03/03/2023, 16:40

104. Automatic differentiation for stochastic processes

Alberto Ramos

107. TBA

Julian Mayer-Steudte