Search Results for author: Benjamin Walker

Found 5 papers, 2 papers with code

Theoretical Foundations of Deep Selective State-Space Models

no code implementations29 Feb 2024 Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry Lyons

Structured state-space models (SSMs) such as S4, stemming from the seminal work of Gu et al., are gaining popularity as effective approaches for modeling sequential data.

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

no code implementations28 Feb 2024 Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry Lyons

The core component of Log-NCDEs is the Log-ODE method, a tool from the study of rough paths for approximating a CDE's solution.

Time Series Time Series Classification

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

1 code implementation Computing in Cardiology 2022 Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terry Lyons, Adam Mahdi

The second model is the output of DBRes integrated with demographic data and signal features using XGBoost. DBRes achieved our best weighted accuracy of $0. 771$ on the hidden test set for murmur classification, which placed us fourth for the murmur task.

Classification

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations

no code implementations22 Feb 2023 Tiexin Qin, Benjamin Walker, Terry Lyons, Hong Yan, Haoliang Li

Empirical evaluation on a range of dynamic graph representation learning tasks demonstrates the superiority of our proposed approach compared to the baselines.

Graph Representation Learning

Multilayer Modularity Belief Propagation To Assess Detectability Of Community Structure

1 code implementation13 Aug 2019 William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha

We compare our approach with a widely used community detection tool, GenLouvain, across a range of synthetic, multilayer benchmark networks, demonstrating that our method performs comparably to the state of the art.

Social and Information Networks Data Analysis, Statistics and Probability Physics and Society

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