activity
20142020
most citedSex as Gibbs Sampling: a probability model of evolution

3 citations · 3 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CY2020

Epidemic contact tracing with smartphone sensors

Khuong An Nguyen, Zhiyuan Luo, Chris Watkins

Contact tracing is widely considered as an effective procedure in the fight against epidemic diseases. However, one of the challenges for technology based contact tracing is the hi…

cs.LG2020

A Metric Learning Approach to Anomaly Detection in Video Games

Benedict Wilkins, Chris Watkins, Kostas Stathis

With the aim of designing automated tools that assist in the video game quality assurance process, we frame the problem of identifying bugs in video games as an anomaly detection (…

eess.SP2020

A review of smartphones based indoor positioning: challenges and applications

Khuong An Nguyen, Zhiyuan Luo, Guang Li +1

The continual proliferation of mobile devices has encouraged much effort in using the smartphones for indoor positioning. This article is dedicated to review the most recent and in…

cs.LG2019

Explaining Deep Learning Models with Constrained Adversarial Examples

Jonathan Moore, Nils Hammerla, Chris Watkins

Machine learning algorithms generally suffer from a problem of explainability. Given a classification result from a model, it is typically hard to determine what caused the decisio…

cs.NE2019

An evolutionary model that satisfies detailed balance

Jüri Lember, Chris Watkins

We propose a class of evolutionary models that involves an arbitrary exchangeable process as the breeding process and different selection schemes. In those models, a new genome is…

cs.CY2017

Co-location Epidemic Tracking on London Public Transports Using Low Power Mobile Magnetometer

Khuong An Nguyen, Chris Watkins, Zhiyuan Luo

The public transports provide an ideal means to enable contagious diseases transmission. This paper introduces a novel idea to detect co-location of people in such environment usin…

q-bio.PE2014★ 3 cited

Sex as Gibbs Sampling: a probability model of evolution

Chris Watkins, Yvonne Buttkewitz

We show that evolutionary computation can be implemented as standard Markov-chain Monte-Carlo (MCMC) sampling. With some care, `genetic algorithms' can be constructed that are reve…