14–16 Dec 2020
CERN
Europe/Zurich timezone

(K)not machine learning

15 Dec 2020, 17:30
30m
Virtual only (CERN)

Virtual only

CERN

Speaker

Prof. Vishnu Jejjala (University of the Witwatersrand)

Description

We present a simple phenomenological formula which approximates the hyperbolic volume of the knot complement based on an evaluation of the Jones polynomial at a complex phase. The error is 2.86% on the first 1.7 million knots. This approximate formula is obtained from reverse engineering a neural network which achieves a similar error after training on 10% of the data. In Chern-Simons language, the phase corresponds to a fractional level. We interpret this in terms of the analytic continuation of Chern-Simons theory.

Presentation materials