default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNick Whiteley
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[c8]Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy:
Implications of sparsity and high triangle density for graph representation learning. AISTATS 2023: 5449-5473- [c7]Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley:
Hierarchical clustering with dot products recovers hidden tree structure. NeurIPS 2023 - [c6]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 - [i11]Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley:
Hierarchical clustering with dot products recovers hidden tree structure. CoRR abs/2305.15022 (2023) - [i10]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 abs/2306.06155 (2023) - 2022
- [j9]Lorenzo Rimella, Nick Whiteley:
Exploiting locality in high-dimensional Factorial hidden Markov models. J. Mach. Learn. Res. 23: 4:1-4:34 (2022) - [i9]Michael Whitehouse, Nick Whiteley, Lorenzo Rimella:
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods. CoRR abs/2205.13602 (2022) - [i8]Nick Whiteley
, Annie Gray, Patrick Rubin-Delanchy:
Statistical exploration of the Manifold Hypothesis. CoRR abs/2208.11665 (2022) - [i7]Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy:
Implications of sparsity and high triangle density for graph representation learning. CoRR abs/2210.15277 (2022) - 2021
- [j8]Lewis J. Rendell, Adam M. Johansen, Anthony Lee, Nick Whiteley:
Global Consensus Monte Carlo. J. Comput. Graph. Stat. 30(2): 249-259 (2021) - [c5]Nick Whiteley, Lorenzo Rimella:
Inference in Stochastic Epidemic Models via Multinomial Approximations. AISTATS 2021: 1297-1305 - [c4]Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy:
Matrix factorisation and the interpretation of geodesic distance. NeurIPS 2021: 24-38 - [i6]Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy:
Matrix factorisation and the interpretation of geodesic distance. CoRR abs/2106.01260 (2021) - 2020
- [i5]Lorenzo Rimella, Nick Whiteley:
Dynamic Bayesian Neural Networks. CoRR abs/2004.06963 (2020) - [i4]Nick Whiteley, Lorenzo Rimella:
Inference in Stochastic Epidemic Models via Multinomial Approximations. CoRR abs/2006.13700 (2020)
2010 – 2019
- 2019
- [i3]Lorenzo Rimella, Nick Whiteley:
Exploiting locality in high-dimensional factorial hidden Markov models. CoRR abs/1902.01639 (2019) - 2018
- [i2]Nick Whiteley:
The Viterbi process, decay-convexity and parallelized maximum a-posteriori estimation. CoRR abs/1810.04115 (2018) - 2017
- [j7]Mathieu Gerber, Nick Whiteley:
Stability with respect to initial conditions in V-norm for nonlinear filters with ergodic observations. J. Appl. Probab. 54(1): 118-133 (2017) - [j6]Nick Whiteley, Nikolas Kantas:
Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications. Math. Oper. Res. 42(4): 1007-1034 (2017) - [j5]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): 50-93 (2017) - 2016
- [j4]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): 339-366 (2016) - [j3]Anthony Lee, Nick Whiteley:
Forest resampling for distributed sequential Monte Carlo. Stat. Anal. Data Min. 9(4): 230-248 (2016) - [j2]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): 4875-4890 (2016) - 2014
- [c3]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: 121-124 - 2013
- [j1]Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley:
Bayesian Learning of Noisy Markov Decision Processes. ACM Trans. Model. Comput. Simul. 23(1): 4:1-4:25 (2013) - 2012
- [i1]Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley:
Bayesian learning of noisy Markov decision processes. CoRR abs/1211.5901 (2012)
2000 – 2009
- 2007
- [c2]Nick Whiteley, A. Taylan Cemgil, Simon J. Godsill:
Sequential Inference of Rhythmic Structure in Musical Audio. ICASSP (4) 2007: 1321-1324 - 2006
- [c1]Nick Whiteley, Ali Taylan Cemgil, Simon J. Godsill:
Bayesian Modelling of Temporal Structure in Musical Audio. ISMIR 2006: 29-34
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
