Random Generation of Stochastic Area Integrals. - Jessica G. Gaines; Terry J. Lyons (SIAM J. Appl. Math., 1994)

Variable Step Size Control in the Numerical Solution of Stochastic Differential Equations. - Jessica G. Gaines; Terry J. Lyons (SIAM J. Appl. Math., 1997)

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)

Minimal Entropy Approximations and Optimal Algorithms. - Dan Crisan; Terry J. Lyons (Monte Carlo Methods Appl., 2002)

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 (WSC, 2012)

The adaptive patched cubature filter and its implementation. - Wonjung Lee; Terry J. Lyons (CoRR, 2015)

Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network. - Weixin Yang; Lianwen Jin; Hao Ni 001; Terry J. Lyons (ICPR, 2016)

Leveraging the Path Signature for Skeleton-based Human Action Recognition. - Weixin Yang; Terry J. Lyons; Hao Ni 001; Cordelia Schmid; Lianwen Jin; Jiawei Chang (CoRR, 2017)

Sketching the order of events. - Terry J. Lyons; Harald Oberhauser (CoRR, 2017)

A Path Signature Approach to Online Arabic Handwriting Recognition. - Daniel G. Wilson-Nunn; Terry J. Lyons; Anastasia Papavasiliou; Hao Ni 001 (ASAR, 2018)

Labelling as an unsupervised learning problem. - Terry J. Lyons; Imanol Pérez Arribas (CoRR, 2018)

Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition. - Zecheng Xie; Zenghui Sun; Lianwen Jin; Hao Ni 001; Terry J. Lyons (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

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 (CinC, 2019)

A Path Signature Approach for Speech Emotion Recognition. - Bo Wang 034; Maria Liakata; Hao Ni 001; Terry J. Lyons; Alejo J. Nevado-Holgado; Kate Saunders (INTERSPEECH, 2019)

Deep Signature Transforms. - Patrick Kidger; Patric Bonnier; Imanol Pérez Arribas; Cristopher Salvi; Terry J. Lyons (NeurIPS, 2019)

Deep Signatures. - Patric Bonnier; Patrick Kidger; Imanol Pérez Arribas; Cristopher Salvi; Terry J. Lyons (CoRR, 2019)

Insertion algorithm for inverting the signature of a path. - Jiawei Chang; Terry J. Lyons (CoRR, 2019)

Learning stochastic differential equations using RNN with log signature features. - Shujian Liao; Terry J. Lyons; Weixin Yang; Hao Ni 001 (CoRR, 2019)

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder. - John Pougue Biyong; Bo Wang 034; Terry J. Lyons; Alejo J. Nevado-Holgado (ClinicalNLP@EMNLP, 2020)

Universal Approximation with Deep Narrow Networks. - Patrick Kidger; Terry J. Lyons (COLT, 2020)

Signature features with the visibility transformation. - Yue Wu; Hao Ni 001; Terrence J. Lyons; Robin L. Hudson (ICPR, 2020)

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews. - Bo Wang 034; Yue Wu; Niall Taylor; Terry J. Lyons; Maria Liakata; Alejo J. Nevado-Holgado; Kate E. A. Saunders (INTERSPEECH, 2020)

Neural Controlled Differential Equations for Irregular Time Series. - Patrick Kidger; James Morrill; James Foster; Terry J. Lyons (NeurIPS, 2020)

Generalised Interpretable Shapelets for Irregular Time Series. - Patrick Kidger; James Morrill; Terry J. Lyons (CoRR, 2020)

A Generalised Signature Method for Time Series. - James Morrill; Adeline Fermanian; Patrick Kidger; Terry J. Lyons (CoRR, 2020)

Anomaly detection on streamed data. - Thomas Cochrane; Peter Foster; Terry J. Lyons; Imanol Pérez Arribas (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)

A Data-driven Market Simulator for Small Data Environments. - Hans Bühler; Blanka Horvath; Terry J. Lyons; Imanol Pérez Arribas; Ben Wood (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)

Neural CDEs for Long Time Series via the Log-ODE Method. - James Morrill; Patrick Kidger; Cristopher Salvi; James Foster; Terry J. Lyons (CoRR, 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)

Optimal Execution with Rough Path Signatures. - Jasdeep Kalsi; Terry J. Lyons; Imanol Pérez Arribas (SIAM J. Financial Math., 2020)

An Optimal Polynomial Approximation of Brownian Motion. - James Foster; Terry J. Lyons; Harald Oberhauser (SIAM J. Numer. Anal., 2020)

Distribution Regression for Sequential Data. - Maud Lemercier; Cristopher Salvi; Theodoros Damoulas; Edwin V. Bonilla; Terry J. Lyons (AISTATS, 2021)

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition. - Hao Ni 001; Shujian Liao; Weixin Yang; Kevin Schlegel; Terry J. Lyons (BMVC, 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 (CSR, 2021)

Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder. - Bo Wang 034; Yue Wu; Nemanja Vaci; Maria Liakata; Terry J. Lyons; Kate E. A. Saunders (ICASSP, 2021)

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU. - Patrick Kidger; Terry J. Lyons (ICLR, 2021)

"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms. - Patrick Kidger; Ricky T. Q. Chen; Terry J. Lyons (ICML, 2021)

Neural SDEs as Infinite-Dimensional GANs. - Patrick Kidger; James Foster; Xuechen Li; Terry J. Lyons (ICML, 2021)

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. - Maud Lemercier; Cristopher Salvi; Thomas Cass; Edwin V. Bonilla; Theodoros Damoulas; Terry J. Lyons (ICML, 2021)

Efficient and Accurate Gradients for Neural SDEs. - Patrick Kidger; James Foster; Xuechen Li; Terry J. Lyons (NeurIPS, 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 (NeurIPS, 2021)

The shifted ODE method for underdamped Langevin MCMC. - James Foster; Terry J. Lyons; Harald Oberhauser (CoRR, 2021)

Neural SDEs as Infinite-Dimensional GANs. - Patrick Kidger; James Foster; Xuechen Li; Harald Oberhauser; Terry J. Lyons (CoRR, 2021)

Neural Controlled Differential Equations for Online Prediction Tasks. - James Morrill; Patrick Kidger; Lingyi Yang; Terry J. Lyons (CoRR, 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)

ImageSig: A signature transform for ultra-lightweight image recognition. - Mohamed R. Ibrahim; Terry J. Lyons (CVPR Workshops, 2022)

Path Signatures for Non-Intrusive Load Monitoring. - Paul Moore; Theodor-Mihai Iliant; Filip-Alexandru Ion; Yue Wu; Terry J. Lyons (ICASSP, 2022)

Positively Weighted Kernel Quadrature via Subsampling. - Satoshi Hayakawa; Harald Oberhauser; Terry J. Lyons (NeurIPS, 2022)

Generalised Recombination Interpolation Method (GRIM). - Terry J. Lyons; Andrew D. McLeod (CoRR, 2022)

Signature Methods in Machine Learning. - Terry J. Lyons; Andrew D. McLeod (CoRR, 2022)

Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures. - Satoshi Hayakawa; Harald Oberhauser; Terry J. Lyons (CoRR, 2022)

On the Choice of Interpolation Scheme for Neural CDEs. - James Morrill; Patrick Kidger; Lingyi Yang; Terry J. Lyons (Trans. Mach. Learn. Res., 2022)

Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest. - Felix Krones; Benjamin Walker 001; Guy Parsons; Terry J. Lyons; Adam Mahdi (CinC, 2023)

Sampling-based Nyström Approximation and Kernel Quadrature. - Satoshi Hayakawa; Harald Oberhauser; Terry J. Lyons (ICML, 2023)

ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models. - Ahmed Ammar Naseer; Benjamin Walker 001; Christopher Landon; Andrew Ambrosy; Marat Fudim; Nicholas Wysham; Botros Toro; Sumanth Swaminathan; Terry J. Lyons (MLHC, 2023)

New directions in the applications of rough path theory. - Adeline Fermanian; Terry J. Lyons; James Morrill; Cristopher Salvi (CoRR, 2023)

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations. - Tiexin Qin; Benjamin Walker 001; Terry J. Lyons; Hong Yan 001; Haoliang Li (CoRR, 2023)

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. - Benjamin Walker 001; Felix Krones; Ivan Kiskin; Guy Parsons; Terry J. Lyons; Adam Mahdi (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)

FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease. - Mohamed R. Ibrahim; Terry J. Lyons (CoRR, 2023)

Lineax: unified linear solves and linear least-squares in JAX and Equinox. - Jason Rader; Terry J. Lyons; Patrick Kidger (CoRR, 2023)

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 (EACL (Demonstrations), 2024)

Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference. - Benjamin Walker 001; Andrew D. McLeod; Tiexin Qin; Yichuan Cheng; Haoliang Li; Terry J. Lyons (ICML, 2024)

Theoretical Foundations of Deep Selective State-Space Models. - Nicola Muca Cirone; Antonio Orvieto; Benjamin Walker 001; Cristopher Salvi; Terry J. Lyons (NeurIPS, 2024)

Optimistix: modular optimisation in JAX and Equinox. - Jason Rader; Terry J. Lyons; Patrick Kidger (CoRR, 2024)

Novelty Detection on Radio Astronomy Data using Signatures. - Paola Arrubarrena; Maud Lemercier; Bojan Nikolic; Terry J. Lyons; Thomas Cass (CoRR, 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)

A High Order Solver for Signature Kernels. - Maud Lemercier; Terry J. Lyons (CoRR, 2024)

Higher Order Lipschitz Sandwich Theorems. - Terry J. Lyons; Andrew D. McLeod (CoRR, 2024)

Higher Order Lipschitz Greedy Recombination Interpolation Method (HOLGRIM). - Terry J. Lyons; Andrew D. McLeod (CoRR, 2024)

Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts. - Felix Krones; Ben Walker; Terry J. Lyons; Adam Mahdi (CoRR, 2024)

Transforming CCTV cameras into N2 sensors at city scale for adaptive policymaking. - Mohamed R. Ibrahim; Terry J. Lyons (CoRR, 2025)

Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models. - Benjamin Walker 001; Lingyi Yang; Nicola Muca Cirone; Cristopher Salvi; Terry J. Lyons (CoRR, 2025)