Patrick Rubin-Delanchy

32 papers A* 6A 1C 2Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncovering Locally Low-dimensional Structure in Networks by Locally Optimal Spectral Embedding. CoRR Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy
2025	J	`jnl`	How high is 'high'? Rethinking the roles of dimensionality in topological data analysis and manifold learning. CoRR Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy
2025	J	`jnl`	The Origins of Representation Manifolds in Large Language Models. CoRR Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
2025	A*	`conf`	Valid Conformal Prediction for Dynamic GNNs. ICLR Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy
2024	J	`jnl`	Valid Conformal Prediction for Dynamic GNNs. CoRR Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy
2023	J	`jnl`	A Simple and Powerful Framework for Stable Dynamic Network Embedding. CoRR Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy
2023	A*	`conf`	Hierarchical clustering with dot products recovers hidden tree structure. NeurIPS Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
2023	J	`jnl`	Hierarchical clustering with dot products recovers hidden tree structure. CoRR Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
2023	A	`conf`	Implications of sparsity and high triangle density for graph representation learning. AISTATS Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy
2023	A*	`conf`	Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. NeurIPS Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
2023	J	`jnl`	Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. CoRR Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
2022	J	`jnl`	Implications of sparsity and high triangle density for graph representation learning. CoRR Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy
2022	J	`jnl`	Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel. Technometrics Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy
2022	J	`jnl`	Statistical exploration of the Manifold Hypothesis. CoRR Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
2021	A*	`conf`	Matrix factorisation and the interpretation of geodesic distance. NeurIPS Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
2021	J	`jnl`	Matrix factorisation and the interpretation of geodesic distance. CoRR Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
2021	A*	`conf`	Spectral embedding for dynamic networks with stability guarantees. NeurIPS Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy
2021	J	`jnl`	Spectral embedding for dynamic networks with stability guarantees. CoRR Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy
2020	A*	`conf`	Manifold structure in graph embeddings. NeurIPS Patrick Rubin-Delanchy
2020	J	`jnl`	Manifold structure in graph embeddings. CoRR Patrick Rubin-Delanchy
2020	J	`jnl`	Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel. CoRR Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy
2020	J	`jnl`	The multilayer random dot product graph. CoRR Andrew Jones, Patrick Rubin-Delanchy
2019	J	`jnl`	Spectral clustering in the weighted stochastic block model. CoRR Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy
2017	J	`jnl`	A statistical interpretation of spectral embedding: the generalised random dot product graph. CoRR Patrick Rubin-Delanchy, Carey E. Priebe, Minh Tang, Joshua Cape
2016	C	`conf`	Disassortativity of computer networks. ISI Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard
2016	C	`conf`	Network-wide anomaly detection via the Dirichlet process. ISI Nick Heard, Patrick Rubin-Delanchy
2014	—	`conf`	Filtering Automated Polling Traffic in Computer Network Flow Data. JISIC Nick Heard, Patrick Rubin-Delanchy, Daniel J. Lawson
2014	—	`conf`	Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data. JISIC Daniel J. Lawson, Patrick Rubin-Delanchy, Nicholas A. Heard, Niall M. Adams
2014	—	`conf`	Three Statistical Approaches to Sessionizing Network Flow Data. JISIC Patrick Rubin-Delanchy, Daniel J. Lawson, Melissa J. Turcotte, Nicholas A. Heard, Niall M. Adams
2009	J	`jnl`	On Testing for Impropriety of Complex-Valued Gaussian Vectors. IEEE Trans. Signal Process. Andrew T. Walden, Patrick Rubin-Delanchy
2008	J	`jnl`	Kinematics of Complex-Valued Time Series. IEEE Trans. Signal Process. Patrick Rubin-Delanchy, Andrew T. Walden
2007	J	`jnl`	Simulation of Improper Complex-Valued Sequences. IEEE Trans. Signal Process. Patrick Rubin-Delanchy, Andrew T. Walden