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

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)

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)

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)

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)

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning. - Torben Berndt; Benjamin Walker 001; Tiexin Qin; Jan Stühmer; Andrey Kormilitzin (CoRR, 2025)