Benjamin Walker

13 papers A* 2Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Dynamic Graph Embeddings With Neural Controlled Differential Equations. IEEE Trans. Pattern Anal. Mach. Intell. Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li
2026	J	`jnl`	The Exponentially Weighted Signature. CoRR Alexandre Bloch, Samuel N. Cohen, Terry J. Lyons, Joël Mouterde, Benjamin Walker
2025	J	`jnl`	Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning. CoRR Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin
2025	J	`jnl`	Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models. CoRR Benjamin Walker, Lingyi Yang, Nicola Muca Cirone, Cristopher Salvi, Terry J. Lyons
2024	A*	`conf`	Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference. ICML Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons
2024	J	`jnl`	Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference. CoRR Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons
2024	A*	`conf`	Theoretical Foundations of Deep Selective State-Space Models. NeurIPS Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry J. Lyons
2024	J	`jnl`	Theoretical Foundations of Deep Selective State-Space Models. CoRR Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry J. Lyons
2023	J	`jnl`	Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. CoRR Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terry J. Lyons, Adam Mahdi
2023	J	`jnl`	Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations. CoRR Tiexin Qin, Benjamin Walker, Terry J. Lyons, Hong Yan, Haoliang Li
2023	—	`conf`	Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest. CinC Felix Krones, Benjamin Walker, Guy Parsons, Terry J. Lyons, Adam Mahdi
2023	—	`conf`	ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models. MLHC Ahmed Ammar Naseer, Benjamin Walker, Christopher Landon, Andrew Ambrosy, Marat Fudim, Nicholas Wysham, Botros Toro, Sumanth Swaminathan, Terry J. Lyons
2022	—	`conf`	Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. CinC Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terence Lyons, Adam Mahdi