Seminars Sorted by Series

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...

Geordie Williamson, University of Sydney

Combinatorial Invariance: a Case Study of Pure Math / Machine  Learning Interaction

The combinatorial invariance conjecture is a fascinating conjecture in Representation Theory. Basically it says that...

Alex Davies, University of Cambridge

What is Machine Learning Good For?

Machine learning has seen remarkable success in many areas in the past decade, but this inevitably leads to hype that obscures what it can and cannot do. In this talk we will...

Alhussein Fawzi, EPFL

AlphaZero and Matrix Multiplication

Marc Lackenby, University of Oxford

The Signature and Natural Slope of Hyperbolic Knots

Andras Juhasz has explained in his talk how machine learning was used to discover a previously unknown relationship between invariants in knot theory. This...

Andras Juhasz
Alex Davies
Marc Lackenby
Alhussein Fawzi
Geordie Williamson

Fireside Chat

In December last year, a cover article of Nature described a collaboration between a team from DeepMind and several top mathematicians showing how tools from...

In this talk, I will define the Ruelle invariant of a measure preserving flow equipped with a symplectic cocycle. This is a natural dynamical quantity that measures a spacetime averaged rotation of the cocycle along the flow. I will then discuss the...