Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Name: Machine Learning approaches in Lattice QCD - An interdisciplinary exchange
Start: 2023-02-27T08:00:00+01:00
End: 2023-03-03T20:00:00+01:00
Location: Institute for Advanced Study of the Technische Universität München

February 27, 2023 to March 3, 2023

Institute for Advanced Study of the Technische Universität München

Europe/Berlin timezone

Overview
Advisory committee
Call for Abstracts
Timetable
Contribution List
Registration
Participant List
Venue and Transportation
Accommodation
Poster
Icecube money prize for ML solution

Contact

julian.mayer-steudte@tum.de

Teaching how to teach: defining learning samples to detect phase transitions

Feb 28, 2023, 3:10 PM

20m

Institute for Advanced Study of the Technische Universität München

Lichtenbergstraße 2a 85748 Garching Germany

ML for phase transitions and sign problem mitigation

Francesco Di Renzo

FDR_28feb2023_TUM.pdf

Machine Learning approaches in Lattice QCD - An interdisciplinary exchange

Contact

Teaching how to teach: defining learning samples to detect phase transitions

Institute for Advanced Study of the Technische Universität München

Speaker

Presentation materials