421 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB63 papers
- Systemic Risk CentreGB48 papers
- University of OxfordGB20 papers
- University of WarwickGB18 papers
- King's College LondonGB16 papers
- London Mathematical LaboratoryGB12 papers
- University of Illinois Urbana-ChampaignUS12 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Queen Mary University of LondonGB11 papers
- The Open UniversityGB11 papers
- City, University of LondonGB10 papers
- ETH ZurichCH10 papers
561 papers
Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility
Germán Pardo-González, Shaghayegh Vosough, Katerina Papadaki +1
Traffic management has traditionally focused on toll-based and road pricing solutions. However, road pricing often raises concerns about accessibility and public dissatisfaction, l…
Large-Scale Qualitative Research with AI: Infrastructure, Management and Operation of the Socioscope Data Pipeline
Saadi Lahlou, Juan Pablo Caicedo, Shriya Sekhsaria +3
The Socioscope project is a pioneering effort in Large-Scale Qualitative Research (LSQR) collecting comparable, open-ended, multimedia field data on hundreds of cases and using AI…
GLP: A Grassroots, Multiagent, Concurrent, Logic Programming Language for AI
Ehud Shapiro
A grassroots platform is a multiagent distributed system in which multiple independent instances can form and operate independently of each other and of any global resource, yet ma…
Note on the Weak Convergence of Hyperplane -Quantile Functionals and Their Continuity in the Skorokhod J1 Topology
Pietro Maria Sparago
The -quantile of a stochastic process has been introduced in Miura (Hitotsubashi J Commerce Manag 27(1):15-28, 1992), and important distributional results have been de…
A tensor invariant approach to energy flux in magnetohydrodynamic turbulence
Conan M. Liptrott, Sandra C. Chapman, Bogdan Hnat +1
A scale-by-scale analysis of energy flux in the turbulent cascade can be performed using the spatially filtered magnetohydrodynamic (MHD) equations, while the gradient tensor invar…
Computational Hermeneutics: Evaluating generative AI as a cultural technology
Cody Kommers, Ruth Ahnert, Maria Antoniak +35
Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…
Uncertainty-Aware Deep Hedging
Manan Poddar
Deep hedging trains neural networks to manage derivative risk under market frictions, but produces hedge ratios with no measure of model confidence -- a significant barrier to depl…
Writing literature reviews with AI: principles, hurdles and some lessons learned
Saadi Lahlou, Annabelle Gouttebroze, Atrina Oraee +1
We qualitatively compared literature reviews produced with varying degrees of AI assistance. The same LLM, given the same corpus of 280 papers but different selections, produced dr…
The drift burst hypothesis
Kim Christensen, Roel C. A. Oomen, Roberto Renò
The drift burst hypothesis postulates the existence of short-lived locally explosive trends in the price paths of financial assets. The recent U.S. equity and treasury flash crashe…
Multivariate kernel regression in vector and product metric spaces
Marcia Schafgans, Victoria Zinde-Walsh
This paper derives limit properties of nonparametric kernel regression estimators without requiring existence of density for regressors in In functional regressio…
Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology
Mike Thelwall, Ralph Schroeder, Meena Dhanda
Purpose: It has become increasingly likely that Large Language Models (LLMs) will be used to score the quality of academic publications to support research assessment goals in the…
Maximum softly penalised likelihood in factor analysis
Philipp Sterzinger, Ioannis Kosmids, Irini Moustaki
Estimation in exploratory factor analysis often yields estimates on the boundary of the parameter space. Such occurrences, known as Heywood cases, are characterised by non-positive…
Ingroup bias is prevalent in user reports of hate and abuse online
Florence E. Enock, Helen Z. Margetts, Jonathan Bright
The prevalence of online hate and abuse is a pressing global problem. While tackling such societal harms is a priority for research across the social sciences, it is a difficult ta…
Deep learning four decades of human migration
Thomas Gaskin, Guy J. Abel
We present a novel and detailed dataset on origin-destination annual migration flows and stocks between 230 countries and regions, spanning the period from 1990 to the present. Our…
Determining a graph from its reconfiguration graph
Gaétan Berthe, Caroline Brosse, Brian Hearn +3
Given a graph and a natural number , the -recolouring graph is the graph whose vertices are the -colourings of and whose edges link pairs of col…
Accountable Liveness
Andrew Lewis-Pye, Joachim Neu, Tim Roughgarden +1
Safety and liveness are the two classical security properties of consensus protocols. Recent works have strengthened safety with accountability: should any safety violation occur,…
Large language models in finance : what is financial sentiment?
Kemal Kirtac, Guido Germano
Financial sentiment has become a crucial yet complex concept in finance, increasingly used in market forecasting and investment strategies. Despite its growing importance, there re…
Edge isoperimetry of lattices
Cameron Strachan, Konrad Swanepoel
We present two results related to an edge-isoperimetric question for Cayley graphs on the integer lattice asked by Ben Barber and Joshua Erde [Isoperimetry of Integer Lattices, Dis…
Dynamically optimal portfolios for monotone mean--variance preferences
Aleš Černý, Johannes Ruf, Martin Schweizer
Monotone mean-variance (MMV) utility is the minimal modification of the classical Markowitz utility that respects rational ordering of investment opportunities. This paper provides…
On a fast consistent selection of nested models with possibly unnormalized probability densities
Rong Bian, Kung-Sik Chan, Bing Cheng +1
Models with unnormalized probability density functions are ubiquitous in statistics, artificial intelligence and many other fields. However, they face significant challenges in mod…
Capitalizing on a Crisis: A Computational Analysis of all Five Million British Firms During the Covid-19 Pandemic
Naomi Muggleton, Charles Rahal, Aaron Reeves
The Covid-19 pandemic brought unprecedented changes to business ownership in the UK which affects a generation of entrepreneurs and their employees. Nonetheless, the impact remains…
DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling
Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti +23
Understanding everyday life behavior of young adults through personal devices, e.g., smartphones and smartwatches, is key for various applications, from enhancing the user experien…
Morpheus Consensus: Excelling on trails and autobahns
Andrew Lewis-Pye, Ehud Shapiro
Recent research in consensus has often focussed on protocols for State-Machine-Replication (SMR) that can handle high throughputs. Such state-of-the-art protocols (generally DAG-ba…
Top eigenpair statistics of diluted Wishart matrices
Barak Budnick, Preben Forer, Pierpaolo Vivo +3
Using the replica method, we compute the statistics of the top eigenpair of diluted covariance matrices of the form , where is a…