Patrick Rubin-Delanchy

According to our database, Patrick Rubin-Delanchy authored at least 20 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Simple and Powerful Framework for Stable Dynamic Network Embedding.

Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy

CoRR, 2023

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks.

Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical clustering with dot products recovers hidden tree structure.

Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Implications of sparsity and high triangle density for graph representation learning.

Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel.

Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy

Technometrics, 2022

Statistical exploration of the Manifold Hypothesis.

Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy

CoRR, 2022

2021

Matrix factorisation and the interpretation of geodesic distance.

Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spectral embedding for dynamic networks with stability guarantees.

Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

The multilayer random dot product graph.

Andrew Jones, Patrick Rubin-Delanchy

CoRR, 2020

Manifold structure in graph embeddings.

Patrick Rubin-Delanchy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Spectral clustering in the weighted stochastic block model.

Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy

CoRR, 2019

2017

A statistical interpretation of spectral embedding: the generalised random dot product graph.

Patrick Rubin-Delanchy, Carey E. Priebe, Minh Tang, Joshua Cape

CoRR, 2017

2016

Disassortativity of computer networks.

Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Network-wide anomaly detection via the Dirichlet process.

Nick Heard, Patrick Rubin-Delanchy

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

2014

Three Statistical Approaches to Sessionizing Network Flow Data.

Patrick Rubin-Delanchy, Daniel J. Lawson, Melissa J. Turcotte, Nicholas A. Heard, Niall M. Adams

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data.

Daniel J. Lawson, Patrick Rubin-Delanchy, Nicholas A. Heard, Niall M. Adams

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Filtering Automated Polling Traffic in Computer Network Flow Data.

Nick Heard, Patrick Rubin-Delanchy, Daniel J. Lawson

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

2009

On Testing for Impropriety of Complex-Valued Gaussian Vectors.

Andrew T. Walden, Patrick Rubin-Delanchy

IEEE Trans. Signal Process., 2009

2008

Kinematics of Complex-Valued Time Series.

Patrick Rubin-Delanchy, Andrew T. Walden

IEEE Trans. Signal Process., 2008

2007

Simulation of Improper Complex-Valued Sequences.

Patrick Rubin-Delanchy, Andrew T. Walden

IEEE Trans. Signal Process., 2007