814 citations · 2.1k across the 35 of their papers we have counts for
36 papers
Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them
Jeremy J. H. Wilkinson, Christopher G. Lester
Hypothesis testing in high dimensional data is a notoriously difficult problem without direct access to competing models' likelihood functions. This paper argues that statistical d…
Chiral Measurements
Christopher G. Lester
Searches for parity violation at particle physics collider experiments without polarised initial states or final-state polarimeters lack a formal framework within which some of the…
A method to challenge symmetries in data with self-supervised learning
Rupert Tombs, Christopher G. Lester
Symmetries are key properties of physical models and of experimental designs, but any proposed symmetry may or may not be realized in nature. In this paper, we introduce a practica…
Using unsupervised learning to detect broken symmetries, with relevance to searches for parity violation in nature. (Previously: "Stressed GANs snag desserts")
Christopher G. Lester, Rupert Tombs
Testing whether data breaks symmetries of interest can be important to many fields. This paper describes a simple way that machine learning algorithms (whose outputs have been appr…
Lorentz and permutation invariants of particles I
Ben Gripaios, Ward Haddadin, Christopher G. Lester
A theorem of Weyl tells us that the Lorentz (and parity) invariant polynomials in the momenta of particles are generated by the dot products. We extend this result to include t…
Efficiently simulating discrete-state models with binary decision trees
Christopher Lester, Ruth E. Baker, Christian A. Yates
Stochastic simulation algorithms (SSAs) are widely used to numerically investigate the properties of stochastic, discrete-state models. The Gillespie Direct Method is the pre-emine…