228 citations · 300 across the 7 of their papers we have counts for
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hep-lat2022
A machine learning approach to the classification of phase transitions in many flavor QCD
Frithjof Karsch, Anirban Lahiri, Marius Neumann +1
Normalizing flows are generative machine learning models which can efficiently approximate probability distributions, using only given samples of a distribution. This architecture…
hep-lat2022★ 27 cited
Towards the chiral phase transition in the Roberge-Weiss plane
F. Cuteri, J. Goswami, F. Karsch +5
We discuss the interplay between chiral and center sector phase transitions that occur in QCD with an imaginary quark chemical potential . Based on a finite size sc…