2 papers
hep-th2022
(K)not machine learning
Jessica Craven, Mark Hughes, Vishnu Jejjala +1
We review recent efforts to machine learn relations between knot invariants. Because these knot invariants have meaning in physics, we explore aspects of Chern-Simons theory and hi…
hep-th2020
Disentangling a Deep Learned Volume Formula
Jessica Craven, Vishnu Jejjala, Arjun Kar
We present a simple phenomenological formula which approximates the hyperbolic volume of a knot using only a single evaluation of its Jones polynomial at a root of unity. The avera…