58 citations · 494 across the 31 of their papers we have counts for
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Machine Learning Lie Structures & Applications to Physics
Heng-Yu Chen, Yang-Hui He, Shailesh Lal +1
Classical and exceptional Lie algebras and their representations are among the most important tools in the analysis of symmetry in physical systems. In this letter we show how the…
On Gluing CFT Correlators to Higher-Spin Amplitudes in AdS
Shailesh Lal
We demonstrate how three-point correlation functions of the free scalar U(N) model involving two scalar operators and one spin- conserved current organize themselves into corres…
Mixed Moments for the Product of Ginibre Matrices
Nick Halmagyi, Shailesh Lal
We study the ensemble of a product of n complex Gaussian i.i.d. matrices. We find this ensemble is Gaussian with a variance matrix which is averaged over a multi-Wishart ensemble.…
Machine Learning Etudes in Conformal Field Theories
Heng-Yu Chen, Yang-Hui He, Shailesh Lal +1
We demonstrate that various aspects of Conformal Field Theory are amenable to machine learning. Relatively modest feed-forward neural networks are able to distinguish between scale…