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
83 papers · 1 filter
Magritte, a modern software library for 3D radiative transfer: I. Non-LTE atomic and molecular line modelling
Frederik De Ceuster, Ward Homan, Jeremy Yates +3
Radiative transfer is a key component in almost all astrophysical and cosmological simulations. We present Magritte: a modern open-source software library for 3D radiative transfer…
Core-Periphery Structure in Directed Networks
Andrew Elliott, Angus Chiu, Marya Bazzi +2
While studies of meso-scale structures in networks often focus on community structure, core--periphery structures can reveal new insights. This structure typically consists of a we…
Kernel-based interpolation at approximate Fekete points
Toni Karvonen, Simo Särkkä, Ken'ichiro Tanaka
We construct approximate Fekete point sets for kernel-based interpolation by maximising the determinant of a kernel Gram matrix obtained via truncation of an orthonormal expansion…
Explosive higher-order Kuramoto dynamics on simplicial complexes
Ana P. Millán, Joaquín J. Torres, Ginestra Bianconi
The higher-order interactions of complex systems, such as the brain are captured by their simplicial complex structure and have a significant effect on dynamics. However, the exist…
Learning to synthesise the ageing brain without longitudinal data
Tian Xia, Agisilaos Chartsias, Chengjia Wang +1
How will my face look when I get older? Or, for a more challenging question: How will my brain look when I get older? To answer this question one must devise (and learn from data)…
Fooling with facts: Quantifying anchoring bias through a large-scale online experiment
Taha Yasseri, Jannie Reher
Living in the 'Information Age' means that not only access to information has become easier but also that the distribution of information is more dynamic than ever. Through a large…
Logical Interpretations of Autoencoders
Anton Fuxjaeger, Vaishak Belle
The unification of low-level perception and high-level reasoning is a long-standing problem in artificial intelligence, which has the potential to not only bring the areas of logic…
Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease
Yan Li, Matthew Sperrin, Glen P. Martin +2
The objective is to assess the extent of variation of data quality and completeness of electronic health records and impact on the robustness of risk predictions of incident cardio…
ptype: Probabilistic Type Inference
Taha Ceritli, Christopher K. I. Williams, James Geddes
Type inference refers to the task of inferring the data type of a given column of data. Current approaches often fail when data contains missing data and anomalies, which are found…
Collective Dynamics of Dark Web Marketplaces
Abeer ElBahrawy, Laura Alessandretti, Leonid Rusnac +3
Dark markets are commercial websites that use Bitcoin to sell or broker transactions involving drugs, weapons, and other illicit goods. Being illegal, they do not offer any user pr…
Convolutional Neural Networks for Direct Detection of Dark Matter
Charanjit K. Khosa, Lucy Mars, Joel Richards +1
The XENON1T experiment uses a time projection chamber (TPC) with liquid Xenon to search for Weakly Interacting Massive Particles (WIMPs), a proposed Dark Matter particle, via direc…
Disentangle, align and fuse for multimodal and semi-supervised image segmentation
Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang +4
Magnetic resonance (MR) protocols rely on several sequences to assess pathology and organ status properly. Despite advances in image analysis, we tend to treat each sequence, here…
Dividing a Graphical Cake
Xiaohui Bei, Warut Suksompong
We consider the classical cake-cutting problem where we wish to fairly divide a heterogeneous resource, often modeled as a cake, among interested agents. Work on the subject typica…
-strong simulation of the convex minorants of stable processes and meanders
Jorge Ignacio González Cázares, Aleksandar Mijatović, Gerónimo Uribe Bravo
Using marked Dirichlet processes we characterise the law of the convex minorant of the meander for a certain class of Lévy processes, which includes subordinated stable and symmetr…
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3
Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence. With neural networks, calibration can be improved by temperatu…
On the relation between Transversal and Longitudinal Scaling in Cities
Fabiano L. Ribeiro, Joao Meirelles, Vinicius M. Netto +2
Given that a group of cities follows a scaling law connecting urban population with socio-economic or infrastructural metrics (transversal scaling), should we expect that each city…
The spectral dimension of simplicial complexes: a renormalization group theory
Ginestra Bianconi, Sergey N. Dorogovtsev
Simplicial complexes are increasingly used to study complex system structure and dynamics including diffusion, synchronization and epidemic spreading. The spectral dimension of the…
Using Machine Learning to disentangle LHC signatures of Dark Matter candidates
C. K. Khosa, V. Sanz, M. Soughton
We study the prospects of characterising Dark Matter at colliders using Machine Learning (ML) techniques. We focus on the monojet and missing transverse energy (MET) channel and pr…
Islamophobes are not all the same! A study of far right actors on Twitter
Bertie Vidgen, Taha Yasseri, Helen Margetts
Far-right actors are often purveyors of Islamophobic hate speech online, using social media to spread divisive and prejudiced messages which can stir up intergroup tensions and con…
Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes
Jan Povala, Seppo Virtanen, Mark Girolami
To obtain operational insights regarding the crime of burglary in London we consider the estimation of effects of covariates on the intensity of spatial point patterns. By taking i…
Optimal percolation in correlated multilayer networks with overlap
Andrea Santoro, Vincenzo Nicosia
Multilayer networks have been found to be prone to abrupt cascading failures under random and targeted attacks, but most of the targeting algorithms proposed so far have been mainl…
Private Protocols for U-Statistics in the Local Model and Beyond
James Bell, Aurélien Bellet, Adrià Gascón +1
In this paper, we study the problem of computing -statistics of degree , i.e., quantities that come in the form of averages over pairs of data points, in the local model of d…
ProvMark: A Provenance Expressiveness Benchmarking System
Sheung Chi Chan, James Cheney, Pramod Bhatotia +5
System level provenance is of widespread interest for applications such as security enforcement and information protection. However, testing the correctness or completeness of prov…
Multilevel latent class (MLC) modelling of healthcare provider causal effects on patient outcomes: Evaluation via simulation
Wendy J. Harrison, Paul D. Baxter, Mark S. Gilthorpe
Where performance comparison of healthcare providers is of interest, characteristics of both patients and the health condition of interest must be balanced across providers for a f…