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Speaker: James Stokes, CCM/CCQ
Title: Gauge-equivariant neural networks for lattice gauge theory
Description: I will discuss recent application of gauge-equivariant neural networks to free energy estimation in lattice gauge statistical field theories. I will also comment on the relation to the gauge-equivariant formalism introduced by Cohen et al.
Readings:
https://arxiv.org/abs/2003.06413
https://arxiv.org/pdf/1902.04615.pdf
Please email Sara Mejias Gonzalez for Zoom information.