Previous Conferences & Workshops

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...

Alhussein Fawzi, EPFL

AlphaZero and Matrix Multiplication

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...

The absorption method is a very simple yet surprisingly powerful idea coming from extremal combinatorics which allows one to convert asymptotic results into exact ones. It has produced a remarkable number of success stories in recent years with...

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...

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...

Proving a 2009 conjecture of Itai Benjamini, we show:  For any C, there is a > 0 such that for any simple random walk on an n-vertex graph G, the probability that the first Cn steps of the walk hit every vertex of G is at most exp[-an].  A first...