Nick Whiteley

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.

[BibT_eX]

[DOI]

Annie Gray

Alexander Modell

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.

[BibT_eX]

[DOI]

Hannah Sansford

Alexander Modell

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

2022

Exploiting locality in high-dimensional Factorial hidden Markov models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Statistical exploration of the Manifold Hypothesis.

[BibT_eX]

[DOI]

Annie Gray

CoRR, 2022

Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods.

[BibT_eX]

[DOI]

Michael Whitehouse

CoRR, 2022

2021

Global Consensus Monte Carlo.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2021

Matrix factorisation and the interpretation of geodesic distance.

[BibT_eX]

[DOI]

Annie Gray

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

Inference in Stochastic Epidemic Models via Multinomial Approximations.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Dynamic Bayesian Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2018

The Viterbi process, decay-convexity and parallelized maximum a-posteriori estimation.

[BibT_eX]

[DOI]

CoRR, 2018

2017

The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data.

[BibT_eX]

[DOI]

Cian O'Donnell

J. Tiago Gonçalves

Carlos Portera-Cailliau

Terrence J. Sejnowski

Neural Comput., 2017

Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications.

[BibT_eX]

[DOI]

Nikolas Kantas

Math. Oper. Res., 2017

Stability with respect to initial conditions in V-norm for nonlinear filters with ergodic observations.

[BibT_eX]

[DOI]

Mathieu Gerber

J. Appl. Probab., 2017

2016

An Introduction to Twisted Particle Filters and Parameter Estimation in Non-Linear State-Space Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Forest resampling for distributed sequential Monte Carlo.

[BibT_eX]

[DOI]

Anthony Lee

Stat. Anal. Data Min., 2016

A hidden Markov model for decoding and the analysis of replay in spike trains.

[BibT_eX]

[DOI]

Marc Box

Matt W. Jones

J. Comput. Neurosci., 2016

2014

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2013

Bayesian Learning of Noisy Markov Decision Processes.

[BibT_eX]

[DOI]

Sumeetpal S. Singh

Nicolas Chopin

ACM Trans. Model. Comput. Simul., 2013

2007

Sequential Inference of Rhythmic Structure in Musical Audio.

[BibT_eX]

[DOI]

A. Taylan Cemgil

Simon J. Godsill

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Bayesian Modelling of Temporal Structure in Musical Audio.

[BibT_eX]