Nick Whiteley

Nick Whiteley

University of Bristol

H-index: 24

Europe-United Kingdom

About Nick Whiteley

Nick Whiteley, With an exceptional h-index of 24 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Bristol, specializes in the field of Topological and Geometric Data Analysis, Networks and Graphs, Uncertainty Dynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Intensity Profile Projection: A framework for continuous-time representation learning for dynamic networks

Hierarchical clustering with dot products recovers hidden tree structure

The infinite Viterbi alignment and decay-convexity

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

Implications of sparsity and high triangle density for graph representation learning

An invitation to sequential Monte Carlo samplers

Statistical exploration of the Manifold Hypothesis

Discovering latent topology and geometry in data: a law of large dimension

Nick Whiteley Information

University

Position

___

Citations(all)

1628

Citations(since 2020)

699

Cited By

1191

hIndex(all)

24

hIndex(since 2020)

15

i10Index(all)

31

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Nick Whiteley Skills & Research Interests

Topological and Geometric Data Analysis

Networks and Graphs

Uncertainty Dynamics

Top articles of Nick Whiteley

Intensity Profile Projection: A framework for continuous-time representation learning for dynamic networks

NeurIPS 2023

2023/6/9

Nick Whiteley
Nick Whiteley

H-Index: 16

Patrick Rubin-Delanchy
Patrick Rubin-Delanchy

H-Index: 9

Hierarchical clustering with dot products recovers hidden tree structure

NeurIPS 2023

2023/5/24

Patrick Rubin-Delanchy
Patrick Rubin-Delanchy

H-Index: 9

Nick Whiteley
Nick Whiteley

H-Index: 16

The infinite Viterbi alignment and decay-convexity

Bernoulli

2024/2

Nick Whiteley
Nick Whiteley

H-Index: 16

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

Journal of the Royal Statistical Society Series B: Statistical Methodology

2023/9

Implications of sparsity and high triangle density for graph representation learning

AISTATS

2022/10/27

Nick Whiteley
Nick Whiteley

H-Index: 16

Patrick Rubin-Delanchy
Patrick Rubin-Delanchy

H-Index: 9

An invitation to sequential Monte Carlo samplers

2022/9/14

Nick Whiteley
Nick Whiteley

H-Index: 16

Statistical exploration of the Manifold Hypothesis

arXiv preprint arXiv:2208.11665

2022/8/24

Nick Whiteley
Nick Whiteley

H-Index: 16

Patrick Rubin-Delanchy
Patrick Rubin-Delanchy

H-Index: 9

Discovering latent topology and geometry in data: a law of large dimension

arXiv e-prints

2022/8

Nick Whiteley
Nick Whiteley

H-Index: 16

Patrick Rubin-Delanchy
Patrick Rubin-Delanchy

H-Index: 9

Exploiting locality in high-dimensional Factorial hidden Markov models

Journal of Machine Learning Research

2022/1

Lorenzo Rimella
Lorenzo Rimella

H-Index: 1

Nick Whiteley
Nick Whiteley

H-Index: 16

Matrix factorisation and the interpretation of geodesic distance

Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

2021/6/2

Nick Whiteley
Nick Whiteley

H-Index: 16

Patrick Rubin-Delanchy
Patrick Rubin-Delanchy

H-Index: 9

Early functional connectivity in the developing sensorimotor network that is independent of sensory experience

bioRxiv

2021/6/14

Nick Whiteley
Nick Whiteley

H-Index: 16

Dimension-free Wasserstein contraction of nonlinear filters

Stochastic Processes and their Applications

2021/5/1

Nick Whiteley
Nick Whiteley

H-Index: 16

Inference in stochastic epidemic models via multinomial approximations

2021/3/18

Nick Whiteley
Nick Whiteley

H-Index: 16

Lorenzo Rimella
Lorenzo Rimella

H-Index: 1

Global consensus Monte Carlo

Journal of Computational and Graphical Statistics

2020/10/16

Anthony Lee
Anthony Lee

H-Index: 18

Nick Whiteley
Nick Whiteley

H-Index: 16

Parallelizing particle filters with butterfly interactions

Scandinavian Journal of Statistics

2020/6

Nick Whiteley
Nick Whiteley

H-Index: 16

Dynamic bayesian neural networks

arXiv preprint arXiv:2004.06963

2020/4/15

Lorenzo Rimella
Lorenzo Rimella

H-Index: 1

Nick Whiteley
Nick Whiteley

H-Index: 16

See List of Professors in Nick Whiteley University(University of Bristol)

Co-Authors

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