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
20 papers · 1 filter
Anytime Monte Carlo
Lawrence M. Murray, Sumeetpal Singh, Anthony Lee
Monte Carlo algorithms simulate some prescribed number of samples, taking some random real time to complete the computations necessary. This work considers the converse: to impose…
Full-Projection explicit FBSDE scheme for parabolic PDEs with superlinear nonlinearities
Arnaud Lionnet, Gonçalos dos Reis, Lukasz Szpruch
Developing efficient and stable approximations for high dimensional PDEs is of key importance for numerous applications. The language of Forward-Backward Stochastic Differential Eq…
What to Expect When You Are Expecting on the Grassmannian
Armin Eftekhari, Laura Balzano, Michael B. Wakin
Consider an incoming sequence of vectors, all belonging to an unknown subspace , and each with many missing entries. In order to estimate , it i…
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli +1
Combining abstract, symbolic reasoning with continuous neural reasoning is a grand challenge of representation learning. As a step in this direction, we propose a new architecture,…
Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets
Fernando Chirigati, Harish Doraiswamy, Theodoros Damoulas +1
The increasing ability to collect data from urban environments, coupled with a push towards openness by governments, has resulted in the availability of numerous spatio-temporal da…
Memory Remains: Understanding Collective Memory in the Digital Age
Ruth García-Gavilanes, Anders Mollgaard, Milena Tsvetkova +1
Recently developed information communication technologies, particularly the Internet, have affected how we, both as individuals and as a society, create, store, and recall informat…
Semiring Programming: A Declarative Framework for Generalized Sum Product Problems
Vaishak Belle, Luc De Raedt
To solve hard problems, AI relies on a variety of disciplines such as logic, probabilistic reasoning, machine learning and mathematical programming. Although it is widely accepted…
Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps
Armin Eftekhari, Han Lun Yap, Michael B. Wakin +1
Delay-coordinate mapping is an effective and widely used technique for reconstructing and analyzing the dynamics of a nonlinear system based on time-series outputs. The efficacy of…
Even Good Bots Fight: The Case of Wikipedia
Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi +1
In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on soc…
A Framework for the Construction of Generative Models for Mesoscale Structure in Multilayer Networks
Marya Bazzi, Lucas G. S. Jeub, Alex Arenas +2
Multilayer networks allow one to represent diverse and coupled connectivity patterns --- e.g., time-dependence, multiple subsystems, or both --- that arise in many applications and…
Understanding and coping with extremism in an online collaborative environment
Csilla Rudas, Olivér Surányi, Taha Yasseri +1
The Internet has provided us with great opportunities for large scale collaborative public good projects. Wikipedia is a predominant example of such projects where conflicts emerge…
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population
Bilal A. Mateen, Matthias Bussas, Catherine Doogan +4
Background Information: Falls are associated with high direct and indirect costs, and significant morbidity and mortality for patients. Pathological falls are usually a result of a…
Approximate Smoothing and Parameter Estimation in High-Dimensional State-Space Models
Axel Finke, Sumeetpal S. Singh
We present approximate algorithms for performing smoothing in a class of high-dimensional state-space models via sequential Monte Carlo methods ("particle filters"). In high dimens…
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
Chris. J. Oates, Steven Niederer, Angela Lee +2
This paper studies the numerical computation of integrals, representing estimates or predictions, over the output of a computational model with respect to a distribution $p(…
Geometric MCMC for Infinite-Dimensional Inverse Problems
Alexandros Beskos, Mark Girolami, Shiwei Lan +2
Bayesian inverse problems often involve sampling posterior distributions on infinite-dimensional function spaces. Traditional Markov chain Monte Carlo (MCMC) algorithms are charact…
A near-stationary subspace for ridge approximation
Paul G. Constantine, Armin Eftekhari, Jeffrey Hokanson +1
Response surfaces are common surrogates for expensive computer simulations in engineering analysis. However, the cost of fitting an accurate response surface increases exponentiall…
A Biased Review of Biases in Twitter Studies on Political Collective Action
Peter Cihon, Taha Yasseri
In recent years researchers have gravitated to social media platforms, especially Twitter, as fertile ground for empirical analysis of social phenomena. Social media provides resea…
Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems
Jon Cockayne, Chris Oates, Tim Sullivan +1
This paper develops a probabilistic numerical method for solution of partial differential equations (PDEs) and studies application of that method to PDE-constrained inverse problem…
Rank Aggregation for Course Sequence Discovery
Mihai Cucuringu, Charlie Marshak, Dillon Montag +1
In this work, we adapt the rank aggregation framework for the discovery of optimal course sequences at the university level. Each student provides a partial ranking of the courses…
Non-Parametric Causality Detection: An Application to Social Media and Financial Data
Fani Tsapeli, Mirco Musolesi, Peter Tino
According to behavioral finance, stock market returns are influenced by emotional, social and psychological factors. Several recent works support this theory by providing evidence…