Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Session

ML for physical interpretation of lattice results

talks and panel discussion

Mar 2, 2023, 10:30 AM

Institute for Advanced Study of the Technische Universität München

Conveners

ML for physical interpretation of lattice results

• Alexander Rothkopf ()

ML for physical interpretation of lattice results

• Alexander Rothkopf ()

Description

Talks and panel discussion

Contribution list Timetable

80. Towards fully bayesian analyses in Lattice QCD

Julien Frison

3/2/23, 10:30 AM

81. Physical Concepts from Neural Networks with Two Inputs

Sebastian Wetzel

3/2/23, 11:15 AM

82. Ab-Initio Quantum Chemistry via Graph Neural Networks

Nicholas Gao

3/2/23, 11:35 AM

83. Panel discussion on ML for physics interpretation

Chair: Alexander Rothkopf, Members: Sebastian Wetzel, Matteo Favoni, Fernando Romero Lopez, Miles Cranmer

3/2/23, 12:00 PM

1. Alexander Rothkopf: Setting the stage – ML for physics interpretation
2. Sebastian Wetzel: ML for identifying order parameters & effective d.o.f. in the context of phase transitions
3. Matteo Favoni: ML for identifying defects and effective d.o.f. in the context of confinement
4. Fernando Romero Lopez: ML for extraction of emergent d.o.f. in the context of scattering resonance
5. Miles...