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Mathematics

D-Index
45
Citations
9904
World Ranking
1450
National Ranking
102

Overview

Terry Lyons is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Statistics and Probability.

The scholar's recent published work covers a range of topics and applications related to time series analysis and machine learning. Key recent papers include:

  • Neural Controlled Differential Equations for Irregular Time Series (2020), published in arXiv (Cornell University)
  • The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up (2021), published in The Journal of Machine Learning for Biomedical Imaging
  • Utilization of the Signature Method to Identify the Early Onset of Sepsis From Multivariate Physiological Time Series in Critical Care Monitoring (2020), published in Critical Care Medicine
  • Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU (2020), published in arXiv (Cornell University)
  • A Data-Driven Market Simulator for Small Data Environments (2020), published in SSRN Electronic Journal

The topics that Terry Lyons explores in their work include:

  • Time Series Analysis and Forecasting
  • Neural Networks and Applications
  • Model Reduction and Neural Networks
  • Machine Learning in Healthcare
  • Stochastic processes and financial applications
  • Complex Systems and Time Series Analysis
  • Music and Audio Processing

Terry Lyons frequently collaborates with a core group of coauthors, which includes:

  • Patrick Kidger
  • Cristopher Salvi
  • James Morrill
  • Yue Wu
  • Maud Lemercier

Regarding publication venues, Terry Lyons has a substantial body of work published in several outlets, notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Computing in cardiology
  • Scientific Reports
  • PLoS ONE

Best Publications

  • Differential equations driven by rough signals

    Terry J. Lyons

  • System Control and Rough Paths

    Terry Lyons;Zhongmin Qian

  • Uncertain volatility and the risk-free synthesis of derivatives

    T. J. Lyons

  • Differential Equations Driven by Rough Paths

    T. J. Lyons;Michael J. Caruana;Thierry Lévy;École d'été de probabilités de Saint-Flour

  • Cubature on Wiener space

    Terry Lyons;Nicolas Victoir

  • Function theory, random paths and covering spaces

    Terry Lyons;Dennis Sullivan

  • Uniqueness for the signature of a path of bounded variation and the reduced path group

    Ben M. Hambly;Terry J. Lyons

  • Neural Controlled Differential Equations for Irregular Time Series

    Patrick Kidger;James Morrill;James Foster;Terry J. Lyons

  • Variable step size control in the numerical solution of stochastic differential equations

    J. G. Gaines;T. J. Lyons

  • A Simple Criterion for Transience of a Reversible Markov Chain

    Terry Lyons

  • DIFFERENTIAL EQUATIONS DRIVEN BY ROUGH SIGNALS (I): AN EXTENSION OF AN INEQUALITY OF L. C. YOUNG

    Terry Lyons

  • Universal Approximation with Deep Narrow Networks.

    Patrick Kidger;Terry J. Lyons

  • Random generation of stochastic area integrals

    J. G. Gaines;T. J. Lyons

  • Decomposition of Dirichlet Processes and its Application

    T. J. Lyons;T. S. Zhang

  • An extension theorem to rough paths

    Terry Lyons;Nicolas Victoir

  • A particle approximation of the solution of the Kushner–Stratonovitch equation

    D. Crisan;T. Lyons

  • Rough paths, Signatures and the modelling of functions on streams

    Terry Lyons

  • The signature of a rough path: Uniqueness

    Horatio Boedihardjo;Xi Geng;Terry Lyons;Danyu Yang

  • Convergence of a branching particle method to the solution of the Zakai equation

    Dan Crisan;Jessica Gaines;Terry Lyons

  • Random forest prediction of Alzheimer's disease using pairwise selection from time series data

    P. J. Moore;T. J. Lyons;J. Gallacher

  • Stochastic finance. an introduction in discrete time

    Terry J. Lyons

Frequent Co-Authors

Ben Hambly
Ben Hambly University of Oxford
Dan Crisan
Dan Crisan Imperial College London
Lianwen Jin
Lianwen Jin South China University of Technology
John R. Geddes
John R. Geddes University of Oxford
James E. Foster
James E. Foster George Washington University
Michael Röckner
Michael Röckner Bielefeld University
Paul J. Harrison
Paul J. Harrison University of Oxford
John Gallacher
John Gallacher University of Oxford
Guy M. Goodwin
Guy M. Goodwin University of Oxford
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

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