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
67 papers · 1 filter
Stein's method for distributions modelling competing and complementary risk problems
Anum Fatima, Gesine Reinert
Competing and Complementary risk (CCR) problems are often modelled using a class of distributions of the maximum, or minimum, of a random number of i.i.d. random variables; we call…
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Harry Coppock, George Nicholson, Ivan Kiskin +22
Recent work has reported that AI classifiers trained on audio recordings can accurately predict severe acute respiratory syndrome coronavirus 2 (SARSCoV2) infection status. Here, w…
Dirac gauge theory for topological spinors in 3+1 dimensional networks
Ginestra Bianconi
Gauge theories on graphs and networks are attracting increasing attention not only as approaches to quantum gravity but also as models for performing quantum computation. Here we p…
Information Shift Dynamics Described by Tsallis Entropy on a Compact Phase Space
Jin Yan, Christian Beck
Recent mathematical investigations have shown that under very general conditions exponential mixing implies the Bernoulli property. As a concrete example of a statistical mechanics…
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
While there have been a number of remarkable breakthroughs in machine learning (ML), much of the focus has been placed on model development. However, to truly realize the potential…
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully +1
Although query-based systems (QBS) have become one of the main solutions to share data anonymously, building QBSes that robustly protect the privacy of individuals contributing to…
A weak MLMC scheme for Lévy-copula-driven SDEs with applications to the pricing of credit, equity and interest rate derivatives
Aleksandar Mijatović, Romain Palfray
This paper develops a novel weak multilevel Monte-Carlo (MLMC) approximation scheme for Lévy-driven Stochastic Differential Equations (SDEs). The scheme is based on the state space…
Evidence for a Massive Andromeda Galaxy Using Satellite Galaxy Proper Motions
Ekta Patel, Kaisey S. Mandel
We present new mass estimates for Andromeda (M31) using the orbital angular momenta of four satellite galaxies (M33, NGC 185, NGC 147, IC 10) derived from existing proper motions,…
A BayeSN Distance Ladder: from a consistent modelling of Type Ia supernovae from the optical to the near infrared
Suhail Dhawan, Stephen Thorp, Kaisey S. Mandel +4
The local distance ladder estimate of the Hubble constant () is important in cosmology, given the recent tension with the early universe inference. We estimate from the…
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Jun Wang, Abhir Bhalerao, Terry Yin +2
Radiology report generation (RRG) has gained increasing research attention because of its huge potential to mitigate medical resource shortages and aid the process of disease decis…
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
Fergus Imrie, Bogdan Cebere, Eoin F. McKinney +1
Diagnostic and prognostic models are increasingly important in medicine and inform many clinical decisions. Recently, machine learning approaches have shown improvement over conven…
Agent-Based Modelling for Urban Analytics: State of the Art and Challenges
Nick Malleson, Mark Birkin, Daniel Birks +5
Agent-based modelling (ABM) is a facet of wider Multi-Agent Systems (MAS) research that explores the collective behaviour of individual `agents', and the implications that their be…
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators
Nick Pepper, Marc Thomas, George De Ath +4
Ensuring vertical separation is a key means of maintaining safe separation between aircraft in congested airspace. Aircraft trajectories are modelled in the presence of significant…
Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
Leonardo Castro-Gonzalez
The County Lines Model (CLM) is a relatively new illicit drugs distribution method found in Great Britain. The CLM has brought modern slavery and public health issues, while challe…
Local Dirac Synchronization on Networks
Lucille Calmon, Sanjukta Krishnagopal, Ginestra Bianconi
We propose Local Dirac Synchronization which uses the Dirac operator to capture the dynamics of coupled nodes and link signals on an arbitrary network. In Local Dirac Synchronizati…
Stability analysis of chaotic systems from data
Georgios Margazoglou, Luca Magri
The prediction of the temporal dynamics of chaotic systems is challenging because infinitesimal perturbations grow exponentially. The analysis of the dynamics of infinitesimal pert…
Constraining the SN Ia Host Galaxy Dust Law Distribution and Mass Step: Hierarchical BayeSN Analysis of Optical and Near-Infrared Light Curves
Stephen Thorp, Kaisey S. Mandel
We use the BayeSN hierarchical probabilistic SED model to analyse the optical-NIR () light curves of 86 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project to…
Graphical Inference in Linear-Gaussian State-Space Models
Víctor Elvira, Émilie Chouzenoux
State-space models (SSM) are central to describe time-varying complex systems in countless signal processing applications such as remote sensing, networks, biomedicine, and finance…
Neural parameter calibration for large-scale multi-agent models
Thomas Gaskin, Grigorios A. Pavliotis, Mark Girolami
Computational models have become a powerful tool in the quantitative sciences to understand the behaviour of complex systems that evolve in time. However, they often contain a pote…
Causal chain event graphs for remedial maintenance
Xuewen Yu, Jim Q. Smith
The analysis of system reliability has often benefited from graphical tools such as fault trees and Bayesian networks. In this article, instead of conventional graphical tools, we…
Strong Connectivity in Real Directed Networks
Niall Rodgers, Peter Tino, Samuel Johnson
In many real, directed networks, the strongly connected component of nodes which are mutually reachable is very small. This does not fit with current theory, based on random graphs…
Global topological synchronization on simplicial and cell complexes
Timoteo Carletti, Lorenzo Giambagli, Ginestra Bianconi
Topological signals, i.e., dynamical variables defined on nodes, links, triangles, etc. of higher-order networks, are attracting increasing attention. However the investigation of…
A physics-based domain adaptation framework for modelling and forecasting building energy systems
Zack Xuereb Conti, Ruchi Choudhary, Luca Magri
State-of-the-art machine-learning-based models are a popular choice for modeling and forecasting energy behavior in buildings because given enough data, they are good at finding sp…
American cultural regions mapped through the lexical analysis of social media
Thomas Louf, Bruno Gonçalves, Jose J. Ramasco +2
Cultural areas represent a useful concept that cross-fertilizes diverse fields in social sciences. Knowledge of how humans organize and relate their ideas and behavior within a soc…