A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations

Publikation: Konferenzband/Beitrag in Buch/Bericht › Konferenzartikel › Begutachtung

Originalsprache	Deutsch (Österreich)
Titel	Proceedings of 'A Virtual Tribute to Quark Confinement and the Hadron Spectrum', 2021
Publikationsstatus	Angenommen/Im Druck - 2021

Dieses zitieren

@inproceedings{548577e5e25348f8922a634c52ed2c97,

title = "A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations",

author = "Andreas Windisch and Thomas Gallien and Schwarzlm{\"u}ller, {Christopher Hartwig}",

year = "2021",

language = "Deutsch ({\"O}sterreich)",

booktitle = "Proceedings of 'A Virtual Tribute to Quark Confinement and the Hadron Spectrum', 2021",

}