Nick Whiteley

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 23

Top Topics

Matrix Factorisation

Intensity Profile

Nonlinear Filters

Top Venues

Publications

Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. NeurIPS (2023)
Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy
Implications of sparsity and high triangle density for graph representation learning. AISTATS (2023)
Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks. CoRR (2023)
Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
Hierarchical clustering with dot products recovers hidden tree structure. NeurIPS (2023)
Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley
Hierarchical clustering with dot products recovers hidden tree structure. CoRR (2023)
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
Statistical exploration of the Manifold Hypothesis. CoRR (2022)
Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy
Implications of sparsity and high triangle density for graph representation learning. CoRR (2022)
Michael Whitehouse, Nick Whiteley, Lorenzo Rimella
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods. CoRR (2022)
Lorenzo Rimella, Nick Whiteley
Exploiting locality in high-dimensional Factorial hidden Markov models. J. Mach. Learn. Res. 23 (2022)
Lewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley
Global Consensus Monte Carlo. J. Comput. Graph. Stat. 30 (2) (2021)
Nick Whiteley, Lorenzo Rimella
Inference in Stochastic Epidemic Models via Multinomial Approximations. AISTATS (2021)
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
Matrix factorisation and the interpretation of geodesic distance. CoRR (2021)
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
Matrix factorisation and the interpretation of geodesic distance. NeurIPS (2021)
Lorenzo Rimella, Nick Whiteley
Dynamic Bayesian Neural Networks. CoRR (2020)
Nick Whiteley, Lorenzo Rimella
Inference in Stochastic Epidemic Models via Multinomial Approximations. CoRR (2020)
Lorenzo Rimella, Nick Whiteley
Exploiting locality in high-dimensional factorial hidden Markov models. CoRR (2019)
Nick Whiteley
The Viterbi process, decay-convexity and parallelized maximum a-posteriori estimation. CoRR (2018)
Cian O'Donnell, J. Tiago Gonçalves, Nick Whiteley, Carlos Portera-Cailliau, Terrence J. Sejnowski
The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data. Neural Comput. 29 (1) (2017)
Nick Whiteley, Nikolas Kantas
Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications. Math. Oper. Res. 42 (4) (2017)
Mathieu Gerber, Nick Whiteley
Stability with respect to initial conditions in V-norm for nonlinear filters with ergodic observations. J. Appl. Probab. 54 (1) (2017)
Juha Ala-Luhtala, Nick Whiteley, Kari Heine, Robert Piché
An Introduction to Twisted Particle Filters and Parameter Estimation in Non-Linear State-Space Models. IEEE Trans. Signal Process. 64 (18) (2016)
Marc Box, Matt W. Jones, Nick Whiteley
A hidden Markov model for decoding and the analysis of replay in spike trains. J. Comput. Neurosci. 41 (3) (2016)
Anthony Lee, Nick Whiteley
Forest resampling for distributed sequential Monte Carlo. Stat. Anal. Data Min. 9 (4) (2016)
Marcelo Pereyra, Nick Whiteley, Christophe Andrieu, Jean-Yves Tourneret
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm. SSP (2014)
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
Bayesian Learning of Noisy Markov Decision Processes. ACM Trans. Model. Comput. Simul. 23 (1) (2013)
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
Bayesian learning of noisy Markov decision processes CoRR (2012)
Nick Whiteley, A. Taylan Cemgil, Simon J. Godsill
Sequential Inference of Rhythmic Structure in Musical Audio. ICASSP (4) (2007)
Nick Whiteley, Ali Taylan Cemgil, Simon J. Godsill
Bayesian Modelling of Temporal Structure in Musical Audio. ISMIR (2006)