Terry J. Lyons

According to our database, Terry J. Lyons authored at least 69 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest.

Felix H. Krones, Ben Walker, Guy Parsons, Terry J. Lyons, Adam Mahdi

CoRR, 2024

Theoretical Foundations of Deep Selective State-Space Models.

Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry J. Lyons

CoRR, 2024

Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference.

Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons

CoRR, 2024

Novelty Detection on Radio Astronomy Data using Signatures.

Paola Arrubarrena, Maud Lemercier, Bojan Nikolic, Terry J. Lyons, Thomas Cass

CoRR, 2024

Optimistix: modular optimisation in JAX and Equinox.

Jason Rader, Terry J. Lyons, Patrick Kidger

CoRR, 2024

Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling.

Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis, Iman Munire Bilal, Elena Kochkina, Terry J. Lyons, Maria Liakata

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Lineax: unified linear solves and linear least-squares in JAX and Equinox.

Jason Rader, Terry J. Lyons, Patrick Kidger

CoRR, 2023

FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease.

Mohamed R. Ibrahim, Terry J. Lyons

CoRR, 2023

Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem.

Elena Gal, Shaun Singh, Aldo Pacchiano, Ben Walker, Terry J. Lyons, Jakob N. Foerster

CoRR, 2023

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection.

Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terry J. Lyons, Adam Mahdi

CoRR, 2023

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations.

Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li

CoRR, 2023

New directions in the applications of rough path theory.

Adeline Fermanian, Terry J. Lyons, James Morrill, Cristopher Salvi

CoRR, 2023

ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models.

Ahmed Ammar Naseer, Benjamin Walker, Christopher Landon, Andrew Ambrosy, Marat Fudim, Nicholas Wysham, Botros Toro, Sumanth Swaminathan, Terry J. Lyons

Proceedings of the Machine Learning for Healthcare Conference, 2023

Sampling-based Nyström Approximation and Kernel Quadrature.

Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons

Proceedings of the International Conference on Machine Learning, 2023

Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest.

Felix Krones, Benjamin Walker, Guy Parsons, Terry J. Lyons, Adam Mahdi

Proceedings of the Computing in Cardiology, 2023

2022

On the Choice of Interpolation Scheme for Neural CDEs.

James Morrill, Patrick Kidger, Lingyi Yang, Terry J. Lyons

Trans. Mach. Learn. Res., 2022

Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures.

Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons

CoRR, 2022

Signature Methods in Machine Learning.

Terry J. Lyons, Andrew D. McLeod

CoRR, 2022

Generalised Recombination Interpolation Method (GRIM).

Terry J. Lyons, Andrew D. McLeod

CoRR, 2022

Positively Weighted Kernel Quadrature via Subsampling.

Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path Signatures for Non-Intrusive Load Monitoring.

Paul Moore, Theodor-Mihai Iliant, Filip-Alexandru Ion, Yue Wu, Terry J. Lyons

Proceedings of the IEEE International Conference on Acoustics, 2022

ImageSig: A signature transform for ultra-lightweight image recognition.

Mohamed R. Ibrahim, Terry J. Lyons

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

The Signature Kernel Is the Solution of a Goursat PDE.

Cristopher Salvi, Thomas Cass, James Foster, Terry J. Lyons, Weixin Yang

SIAM J. Math. Data Sci., 2021

Neural Controlled Differential Equations for Online Prediction Tasks.

James Morrill, Patrick Kidger, Lingyi Yang, Terry J. Lyons

CoRR, 2021

Neural SDEs as Infinite-Dimensional GANs.

Patrick Kidger, James Foster, Xuechen Li, Harald Oberhauser, Terry J. Lyons

CoRR, 2021

The shifted ODE method for underdamped Langevin MCMC.

James Foster, Terry J. Lyons, Harald Oberhauser

CoRR, 2021

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes.

Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient and Accurate Gradients for Neural SDEs.

Patrick Kidger, James Foster, Xuechen Li, Terry J. Lyons

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data.

Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural SDEs as Infinite-Dimensional GANs.

Patrick Kidger, James Foster, Xuechen Li, Terry J. Lyons

Proceedings of the 38th International Conference on Machine Learning, 2021

"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms.

Patrick Kidger, Ricky T. Q. Chen, Terry J. Lyons

Proceedings of the 38th International Conference on Machine Learning, 2021

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU.

Patrick Kidger, Terry J. Lyons

Proceedings of the 9th International Conference on Learning Representations, 2021

Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder.

Bo Wang, Yue Wu, Nemanja Vaci, Maria Liakata, Terry J. Lyons, Kate E. A. Saunders

Proceedings of the IEEE International Conference on Acoustics, 2021

SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel.

Thomas Cochrane, Peter Foster, Varun Chhabra, Maud Lemercier, Terry J. Lyons, Cristopher Salvi

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition.

Hao Ni, Shujian Liao, Weixin Yang, Kevin Schlegel, Terry J. Lyons

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Distribution Regression for Sequential Data.

Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

An Optimal Polynomial Approximation of Brownian Motion.

James Foster, Terry J. Lyons, Harald Oberhauser

SIAM J. Numer. Anal., 2020

Optimal Execution with Rough Path Signatures.

Jasdeep Kalsi, Terry J. Lyons, Imanol Pérez Arribas

SIAM J. Financial Math., 2020

"Hey, that's not an ODE": Faster ODE Adjoints with 12 Lines of Code.

Patrick Kidger, Ricky T. Q. Chen, Terry J. Lyons

CoRR, 2020

Neural CDEs for Long Time Series via the Log-ODE Method.

James Morrill, Patrick Kidger, Cristopher Salvi, James Foster, Terry J. Lyons

CoRR, 2020

Computing the full signature kernel as the solution of a Goursat problem.

Thomas Cass, Terry J. Lyons, Cristopher Salvi, Weixin Yang

CoRR, 2020

A Data-driven Market Simulator for Small Data Environments.

Hans Bühler, Blanka Horvath, Terry J. Lyons, Imanol Pérez Arribas, Ben Wood

CoRR, 2020

Distribution Regression for Continuous-Time Processes via the Expected Signature.

Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons

CoRR, 2020

Anomaly detection on streamed data.

Thomas Cochrane, Peter Foster, Terry J. Lyons, Imanol Pérez Arribas

CoRR, 2020

A Generalised Signature Method for Time Series.

James Morrill, Adeline Fermanian, Patrick Kidger, Terry J. Lyons

CoRR, 2020

Generalised Interpretable Shapelets for Irregular Time Series.

Patrick Kidger, James Morrill, Terry J. Lyons

CoRR, 2020

Neural Controlled Differential Equations for Irregular Time Series.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews.

Bo Wang, Yue Wu, Niall Taylor, Terry J. Lyons, Maria Liakata, Alejo J. Nevado-Holgado, Kate E. A. Saunders

Proceedings of the Interspeech 2020, 2020

Signature features with the visibility transformation.

Yue Wu, Hao Ni, Terrence J. Lyons, Robin L. Hudson

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Universal Approximation with Deep Narrow Networks.

Patrick Kidger, Terry J. Lyons

Proceedings of the Conference on Learning Theory, 2020

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder.

John Pougue Biyong, Bo Wang, Terry J. Lyons, Alejo J. Nevado-Holgado

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Learning stochastic differential equations using RNN with log signature features.

Shujian Liao, Terry J. Lyons, Weixin Yang, Hao Ni

CoRR, 2019

Insertion algorithm for inverting the signature of a path.

Jiawei Chang, Terry J. Lyons

CoRR, 2019

Deep Signatures.

Patric Bonnier, Patrick Kidger, Imanol Pérez Arribas, Cristopher Salvi, Terry J. Lyons

CoRR, 2019

Deep Signature Transforms.

Patrick Kidger, Patric Bonnier, Imanol Pérez Arribas, Cristopher Salvi, Terry J. Lyons

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Path Signature Approach for Speech Emotion Recognition.

Bo Wang, Maria Liakata, Hao Ni, Terry J. Lyons, Alejo J. Nevado-Holgado, Kate Saunders

Proceedings of the Interspeech 2019, 2019

The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit.

James Morrill, Andrey Kormilitzin, Alejo J. Nevado-Holgado, Sumanth Swaminathan, Sam Howison, Terry J. Lyons

Proceedings of the 46th Computing in Cardiology, 2019

2018

Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition.

Zecheng Xie, Zenghui Sun, Lianwen Jin, Hao Ni, Terry J. Lyons

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Labelling as an unsupervised learning problem.

Terry J. Lyons, Imanol Pérez Arribas

CoRR, 2018

A Path Signature Approach to Online Arabic Handwriting Recognition.

Daniel Wilson-Nunn, Terry J. Lyons, Anastasia Papavasiliou, Hao Ni

Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

2017

Sketching the order of events.

Terry J. Lyons, Harald Oberhauser

CoRR, 2017

Leveraging the Path Signature for Skeleton-based Human Action Recognition.

Weixin Yang, Terry J. Lyons, Hao Ni, Cordelia Schmid, Lianwen Jin, Jiawei Chang

CoRR, 2017

2016

Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network.

Weixin Yang, Lianwen Jin, Hao Ni, Terry J. Lyons

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

The adaptive patched cubature filter and its implementation.

Wonjung Lee, Terry J. Lyons

CoRR, 2015

2012

Planning of bed capacities in specialized and integrated care units: incorporating bed blockers in a simulation of surgical throughput.

Navonil Mustafee, Terry J. Lyons, Paul Rees, Lee Davies, Mark Ramsey, Michael D. Williams

Proceedings of the Winter Simulation Conference, 2012

2002

Minimal Entropy Approximations and Optimal Algorithms.

Dan Crisan, Terry J. Lyons

Monte Carlo Methods Appl., 2002

1998

Convergence of a Branching Particle Method to the Solution of the Zakai Equation.

Dan Crisan, Jessica G. Gaines, Terry J. Lyons

SIAM J. Appl. Math., 1998

1997

Variable Step Size Control in the Numerical Solution of Stochastic Differential Equations.

Jessica G. Gaines, Terry J. Lyons

SIAM J. Appl. Math., 1997

1994

Random Generation of Stochastic Area Integrals.

Jessica G. Gaines, Terry J. Lyons

SIAM J. Appl. Math., 1994