1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Turing InstituteGB178 papers
- University of OxfordGB114 papers
- University of WarwickGB102 papers
- Queen Mary University of LondonGB91 papers
- University of CambridgeGB89 papers
- University College LondonGB81 papers
- Imperial College LondonGB60 papers
- University of EdinburghGB54 papers
- University of ManchesterGB30 papers
- University of ExeterGB25 papers
- University of SouthamptonGB20 papers
- Centre National de la Recherche ScientifiqueFR19 papers
34 papers · 1 filter
Emo, Love, and God: Making Sense of Urban Dictionary, a Crowd-Sourced Online Dictionary
Dong Nguyen, Barbara McGillivray, Taha Yasseri
The Internet facilitates large-scale collaborative projects and the emergence of Web 2.0 platforms, where producers and consumers of content unify, has drastically changed the info…
Timed Comparisons of Semi-Markov Processes
Mathias Ruggaard Pedersen, Nathanaël Fijalkow, Giorgio Bacci +2
Semi-Markov processes are Markovian processes in which the firing time of the transitions is modelled by probabilistic distributions over positive reals interpreted as the probabil…
Social Complex Contagion in Music Listenership: A Natural Experiment with 1.3 Million Participants
John Ternovski, Taha Yasseri
Can live music events generate complex contagion in music streaming? This paper finds evidence in the affirmative, but only for the most popular artists. We generate a novel datase…
Topic Modelling of Everyday Sexism Project Entries
Sophie Melville, Kathryn Eccles, Taha Yasseri
The Everyday Sexism Project documents everyday examples of sexism reported by volunteer contributors from all around the world. It collected 100,000 entries in 13+ languages within…
Gerrymandering and computational redistricting
Olivia Guest, Frank J. Kanayet, Bradley C. Love
Partisan gerrymandering poses a threat to democracy. Moreover, the complexity of the districting task may exceed human capacities. One potential solution is using computational mod…
Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation
Patrick Gildersleve, Taha Yasseri
The World Wide Web (WWW) has fundamentally changed the ways billions of people are able to access information. Thus, understanding how people seek information online is an importan…
On denoising modulo 1 samples of a function
Mihai Cucuringu, Hemant Tyagi
Consider an unknown smooth function , and say we are given noisy samples of , i.e., for …
Evaluation of the Rate of Convergence in the PIA
Jun Maeda, Saul D. Jacka
Folklore says that Howard's Policy Improvement Algorithm converges extraordinarily fast, even for controlled diffusion settings. In a previous paper, we proved that approximations…
Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology
D. Pigoli, J. A. D. Aston, F. Ferraty +3
Forensic entomology contributes important information to crime scene investigations. In this paper, we propose a method to estimate the hatching time of larvae (or maggots) based o…
A radial invariance principle for non-homogeneous random walks
Nicholas Georgiou, Aleksandar Mijatović, Andrew R. Wade
Consider non-homogeneous zero-drift random walks in , , with the asymptotic increment covariance matrix satisfying $\mathbf{u}^\top σ^2 (…
Asymptotic behaviour of randomised fractional volatility models
B. Horvath, A. Jacquier, C. Lacombe
We study the asymptotic behaviour of a class of small-noise diffusions driven by fractional Brownian motion, with random starting points. Different scalings allow for different asy…
A signature-based machine learning model for bipolar disorder and borderline personality disorder
Imanol Perez Arribas, Kate Saunders, Guy Goodwin +1
Mobile technologies offer opportunities for higher resolution monitoring of health conditions. This opportunity seems of particular promise in psychiatry where diagnoses often rely…
Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment
Chris. J. Oates, Jon Cockayne, Robert G. Aykroyd +1
The use of high-power industrial equipment, such as large-scale mixing equipment or a hydrocyclone for separation of particles in liquid suspension, demands careful monitoring to e…
Network dynamics of innovation processes
Iacopo Iacopini, Staša Milojević, Vito Latora
We introduce a model for the emergence of innovations, in which cognitive processes are described as random walks on the network of links among ideas or concepts, and an innovation…
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach
Rishabh Mehrotra, Emine Yilmaz
A significant amount of search queries originate from some real world information need or tasks. In order to improve the search experience of the end users, it is important to have…
Iterative Particle Approximation for McKean-Vlasov SDEs with application to Multilevel Monte Carlo estimation
Lukasz Szpruch, Shuren Tan, Alvin Tse
The mean field limits of systems of interacting diffusions (also called stochastic interacting particle systems (SIPS)) have been intensively studied since McKean \cite{mckean1966c…
Discovery of statistical equivalence classes using computer algebra
Christiane Görgen, Anna Bigatti, Eva Riccomagno +1
Discrete statistical models supported on labelled event trees can be specified using so-called interpolating polynomials which are generalizations of generating functions. These ad…
A robust parallel algorithm for combinatorial compressed sensing
Rodrigo Mendoza-Smith, Jared Tanner, Florian Wechsung
In previous work two of the authors have shown that a vector with at most nonzeros can be recovered from an expander sketch in $\mathcal{O}(\mathr…
A Graphical method for simplifying Bayesian Games
Peter A. Thwaites, Jim Q. Smith
If the influence diagram (ID) depicting a Bayesian game is common knowledge to its players then additional assumptions may allow the players to make use of its embodied irrelevance…
Hierarchical Clustering: Objective Functions and Algorithms
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn +1
Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly finer granularity. Motivated by the fact that most work on hierarchical clustering…
Identifying networks with common organizational principles
Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt +2
Many complex systems can be represented as networks, and the problem of network comparison is becoming increasingly relevant. There are many techniques for network comparison, from…
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i.e. pieces of i…
Miscomputation in software: Learning to live with errors
Tomas Petricek
Computer programs do not always work as expected. In fact, ominous warnings about the desperate state of the software industry continue to be released with almost ritualistic regul…
Urban retail dynamics: insights from percolation theory and spatial interaction modelling
Duccio Piovani, Carlos Molinero, Alan Wilson
The study of the properties and structure of a city's road network has for many years been the focus of much work, as has the mathematical modelling of the location of its retail a…