Preprints and papers | 2023
Preprints and papers | 2023
Rasheed Ibraheem, Yue Wu, Terry Lyons, Goncalo dos Reis
Early prediction of Lithium-ion cell degradation trajectories using signatures of voltage curves up to 4-minute sub-sampling rates
Applied energy (15 Dec 2023) DOI
Carlo Bellingeri, Emilio Ferrucci, Nikolas Tapia
Branched Itô formula and natural Itô-Stratonovich isomorphism
arXiv:2312.04523 (7 Dec 2023) DOI
Zhen Shao, Ryan Sze-Yin Chan, Thomas Cochrane, Peter Foster, Terry Lyons
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path Signature
arXiv:2006.03487 (6 Dec 2023) DOI
Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis, Iman Munire Bilal, Elena Kochkina, Terry Lyons, Maria Liakata
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
Accepted by EACL 2024 (6 Dec 2023) DOI
Jason Rader, Terry Lyons, Patrick Kidger
Lineax: unified linear solves and linear least-squares in JAX and Equinox
arXiv:2311.17283 (28 Nov 2023) DOI
Cristopher Salvi, Joscha Diehl, Terry Lyons, Rosa Preiss, Jeremy Reizenstein
A structure theorem for streamed information
Journal of Algebra (15 Nov 2023) DOI
Hannes Kern, Terry Lyons
Flow techniques for non-geometric RDEs on manifolds
arXiv:2310.13556 (20 Oct 2023) DOI
Felix H. Krones, Ben Walker, Guy Parsons, Terry Lyons, Adam Mahdi
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
Proceedings of the 50th Computing in Cardiology Conference (CinC 2023) (1 Oct 2023) DOI
Cheng Jiale, Shi Dongzi, Li Chenyang, Li Yu, Hao Ni, Jin Lianwen, Zhang Xin
Skeleton-based Gesture Recognition with Learnable Paths and Signature Features
Accepted by the IEEE Transactions on Multimedia (22 Sep 2023) DOI
Emilio Rossi Ferrucci
A Transfer Principle for Branched Rough Paths
Accepted to appear in Annales de l'Institut Henri Poincaré, Probabilités et Statistiques (29 Aug 2023)
Mohamed R. Ibrahim, Terry Lyons,
FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease
arXiv:2308.12840v1 (24 Aug 2023)
Jiarong Huang, Dezhi Peng, Hongliang Li, Hao Ni, Lianwen Jin
SegCTC: Offline Handwritten Chinese Text Recognition via Better Fusion between Explicit and Implicit Segmentation
Accepted by the 17th International Conference on Document Analysis and Recognition (ICDAR 2023) (19 Aug 2023) DOI
Liufeng Huang, Bangdong Chen, Chongyu Liu, Dezhi Peng, Weiying Zhou, Yaqiang Wu, Hui Li, Hao Ni, Lianwen Jin
EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers
Accepted by the 17th International Conference on Document Analysis and Recognition (ICDAR 2023) (19 Aug 2023) DOI
Zhuoming Li, Fan Peng, Yang Xue, Hao Ni, Lianwen Jin
Scene Table Structure Recognition with Segmentation and Key Point Collaboration
Accepted by the 17th International Conference on Document Analysis and Recognition (ICDAR 2023) (19 Aug 2023) DOI
Elena Gal, Shaun Singh, Aldo Pacchiano, Ben Walker, Terry Lyons, Jakob Foerster
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem
arXiv:2308.08051 (15 Aug 2023) DOI
Abbi Abdel-Rehim, Oghenejokpeme Orhobor, Lou Hang, Hao Ni, Ross D King
Protein-Ligand Binding Affinity Prediction Exploiting Sequence Constituent Homology
Bioinformatics (12 Aug 2023) DOI
Satoshi Hayakawa, Harald Oberhauser and Terry Lyons
Sampling-based Nystrom Approximation and Kernel Quadrature
Proceedings of the 40th International Conference on Machine Learning, PMLR, vol. 202 (5 Aug 2023) DOI ORA
Talia Tseriotou, Adam Tsakalidis, Peter Foster, Terry Lyons, Maria Liakata
Sequential Path Signature Networks for Personalised Longitudinal Language Modeling
Findings of ACL 2023 (July 2023) DOI
Hang Lou, Siran Li, Hao Ni
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
arXiv:2305.12511 (21 May 2023) DOI
Samuel N Cohen, Silvia Lui, Will Malpass, Giulia Mantoan, Lars Nesheim, Áureo de Paula, Andrew Reeves, Craig Scott, Emma Small and Lingyi Yang
Nowcasting with signature methods
arXiv:2305.10256 (17 May 2023) DOI
Satoshi Hayakawa, Harald Oberhauser and Terry Lyons
Hypercontractivity meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures
Proceedings of the Royal Society A, vol. 479 (2273) (17 May 2023) DOI ORA
Thomas Cass, Terry Lyons and Xingcheng Xu
Weighted signature kernels
Accepted for publication in Annals of Applied Probability (12 Apr 2023) ORA
Blanka Horvath, Maud Lemercier, Chong Liu, Terry Lyons and Cristopher Salvi
Optimal Stopping via Distribution Regression: a Higher Rank Signature Approach
arXiv:2304.01479 (4 Apr 2023) DOI
Adeline Fermanian, Jiawei Chang, Terry Lyons and Gérard Biau
The insertion method to invert the signature of a path
arXiv:2304.01862 (4 Apr 2023) DOI ORA
Ben Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terence Lyons and Adam Mahdi
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection
2022 Computing in Cardiology (CinC), vol. 498, pp. 1-4 (3 Apr 2023) DOI ORA
Nicola Muça Cirone, Maud Lemercier and Cristopher Salvi
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
Accepted to appear in Proceedings of the 40th International Conference (30 Mar 2023)
Zehong Zhang, Fei Lu, Esther Xu Fei, Terry Lyons, Yannis Kevrekidis and Tom Woolf
Benchmarking optimality of time series classification methods in distinguishing diffusions
arXiv:2301.13112 (30 Jan 2023) DOI
Terry Lyons and Andrew D McLeod
Generalised Recombination Interpolation Method (GRIM)
arXiv:2205.07495 (26 Jan 2023) DOI ORA
Yue Wu and Chenggui Yuan
The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations
Journal of Theoretical Probability, vol. 36 (2) (25 Jan 2023) DOI ORA
Cris Salvi, Adeline Fermanian, Terry Lyons and James Morrill
New directions in the applications of rough path theory
Accepted for publication in IEEE BITS the Information Theory Magazine (23 Jan 2023)
Satoshi Hayakawa, Terry Lyons and Harald Oberhauser
Estimating the probability that a given vector is in the convex hull of a random sample
Probability Theory and Related Fields (2023) (7 Jan 2023) DOI ORA
Alexander Schell and Harald Oberhauser
Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time Signals
Accepted to appear in The Annals of Statistics (2 Jan 2023) DOI ORA
Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Hao Ni and Tie-Yan Liu
Deep latent regularity network for modeling stochastic partial differential equations
Accepted by the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) (Jan 2023)
