DeepMind Workshop
Knot Theory and Machine Learning
Knot Theory and Machine Learning
Andras Juhasz, University of Oxford
The signature of a knot K in the 3-sphere is a classical invariant that gives a lower bound on the genera of compact oriented surfaces in the 4-ball with boundary K. We say that K is hyperbolic if its complement admits a complete, finite volume hyperbolic metric. I will explain how we have used methods from machine learning to find an unexpected relationship between the signature and the cusp shape of a hyperbolic knot. This is joint work with Alex Davies, Marc Lackenby, and Nenad Tomasev.
Date & Time
March 28, 2022 | 2:00pm – 3:00pm
Location
Simonyi 101 and Remote AccessSpeakers
Andras Juhasz
Affiliation
University of Oxford